Papers
Please note: we are no longer ccepting papers for this series
No. 17-01 Honnor TR, Brettschneider JA, Johansen AM.Differences in spatial point patterns with application to subcellular biological structures
No. 17-02 Brettschneider JA, Warnett JW, Nichols TE and Kendall WS.Higher level spatial analysis of dead pixels on detectors based on local grid geometry
No. 17-03 Honnor TR, Johansen AM and Brettschneider JA.A nonparametric test for dependency between estimated local bulk movement patterns
No. 17-04 Cheung S,Hutton JL,and Brettschneider JA.Review of sojourn time calculation models used in breast cancer screening
No. 17-05 Brettschneider JA and Burgess M.Using a frailty model to measure the effect of covariates on the disposition effect
No. 17-06 Steel MFJ.Model Averaging and its Use in Economics
No. 16-01 Fúquene J, Steel M and Rossell D.On choosing mixture components via non-local priors
No. 16-02 Papavasiliou A and Taylor K.Approximate likelihood construction for rough differential equations
No. 16-03 Rubio FJ and Steel M.Flexible linear mixed models with improper priors for longitudinal and survival data
No. 16-04 Forte A, García-Donato G and Steel FJ.Methods and tools for Bayesian variable selection and model averaging in univariate linear regression
No. 16-05 Barons MJ, Wright SK and Smith JQ.Eliciting the probabilistic judgements for intergrating decision support systems.
No. 15-01 Griffin JE, Latuszynski KL and Steel MFJIndividual adaptation: an adaptive MCMC scheme for variable selection problems
No. 15-02 Collazo RA and Smith JQA new family of Non-Local Priors for Chain Event Graph model selection
No. 15-03 Fuglstad GA, Simpson D, Lindgren F and Rue HInterpretable Priors for Hyperparameters for Gaussian Random Fields
No. 15-04 Medina-Aguayo FJ, Lee A and Roberts GOStability of Noisy Metropolis-Hastings
No. 15-05 Papavasiliou A and Zhang FMaximum likelihood estimation for multiscale Ornstein-Uhlenbeck Processes
No. 15-06 Görgen C, Leonelli M and Smith JQA differential approach for staged trees
No. 15-07 Leonelli M, Smith JQ, Riccomagno EUsing computer algebra to symbolically evaluate discrete influence diagrams
No. 15-08 Leonelli M, Riccomagno E, Smith JQThe algebra of integrated partial belief systems
No. 15-09 Thwaites PA and Smith JQ Anew method for tracking asymmetric decision problems
No. 15-10 Smith, JQ, Barons MJ and Leonelli M Coherent frameworks for statistical inference serving integrating decision support systems
No. 15-11 Smith, JQ, Barons MJ and Leonelli MDecision focused inference on networked probabilistic systems: with applications to food security
No. 15-12 Görgen, C and Smith JQEquivalence classes of staged trees
No. 14-01 Ogden H.Robustness properties of marginal composite likelihood estimators.
No. 14-02 Ge T, Muller-Lenke N, Bendfeldt K, Nichols TE, Johnson TDAnaylsis of Multiple Sclerosis Lesions via Spatially Varying Coefficients
No. 14-03 Finke A, Johansen AM and Spano DStatic-parameter estimation in piecewise deterministic processes using particle Gibbs samplers
No. 14-04 Barclay LM, Smith JQ, Thwaites PA and Nicholson AEThe Dynamic Chain Event Graph
No. 14-05 Connor SB and Kendall WSPerfect Simulation M/G/c Queues
No. 14-06 Filippone M and Girolami MPseudo-Marginal Bayesian Inference for Guassian Processes, IEEE Transactions on Pattern Analysis and Machine Intelligence
No. 14-07 Oates CJ, Smith JQ, Mukherjee S and Cussens JExact Estimation of Multiple Directed Acyclic Graphs
No. 14-08 Oates CJ, Carneiro da Costa T and Nichols TETowards a Multi-Subject Analysis of Neural Connectivity
No. 14-09 Oates CJ, Papamarkou T and Girolami MThe controlled thermodynamic integral for Bayesian model comparison
No. 14-10 Rossell D and Telesca DNon-Local Priors for High-Dimensional Estimation
No. 14-11 De Blasi P, Ruggiero M and Spano DInhomogeneous Wright-Fisher construction of two-parameter Poisson-Dirichlet diffusions
No. 14-12 Koslea J, Jenkins P and Spano DComputational inference beyond Kingman's coalescent
No. 14-13 Craiu RV, Lawrence G, Latuszynski KL, Madras N, Roberts GO and Rosenthal JSStability of Adversarial Markov Chains, with an application to Adaptive MCMC Algorithms
No. 14-14 Fuquene JAA Semiparametric Bayesian Extreme Value Model Using a Dirichlet Process Mixture of Gamma Densities
No. 14-15 Leonelli M and Smith JQBayesian Decision Support for Complex Systems with Many Distributed Experts
No. 14-16 Vallejos CA and Steel MFJBayesian Survival Modelling of University Outcomes
No. 14-17 Hey K, Momiji H, Featherstone K, David J, White M, Rand D and Finkenstadt BInference for a transcriptional stochastic switch model from single cell imaging data
No. 14-18 Barons MJ, Zhong X and Smith JQDynamic Bayesian Networks for decision support and sugar food security
No. 14-19 Friel N, Mira A and Oates CJExploiting Multi-Core Architectures for Reduced-Variance Estimation with Intractable Likelihoods
No. 14-20 Vallejos CA and Steel MJLIncorporating unobserved heterogeneity in Weibull survival modes: A Bayesian approach
No. 14-21 Zanella GBayesian Complementary Clustering, MCMC and Ango-Saxon Placenames
No. 14-22 Oates CJ, Girolami M and Chopin NControl Functionals for Monte Carlo Integration
No. 14-23 Underhill N and Smith JQContext-dependent score based Bayesian information criteria
No. 14-24 Brettschneider JA, Thornby J, Nichols TE and Kendall WSSpatial analysis of dead pixels
No. 14-25 Kueh A, Kendall WS and Nichols TEModelling the Penumbra in Computed Tomography
No. 14-26 Oates CJ, Smith JQ and Mukherjee SEstimating causal structure using conditional DAG models
No. 14-27 Jenkins PJ and Spano DExact simulation of the Wright-Fisher diffusion
No. 14-28 Rahaman Khan Md H and Shaw JEHVariable Selection with The Modified Buckley-James Method and The Dantzig Selector for High-dimensional Survival Data
No. 13-01 Vallejos CA and Steel MFJ.Objective Bayesian Survival Analysis using Shape Mixtures of Log-Normal Distributions.
No. 13-02 Leonelli M and Smith JQ.Using Graphical Models and Multi-attribute Utility Theory for Probabilistic Uncertainy Handling in Large Systems, with Application to the Nuclear Emergency Management.2013 IEEE 29th International Conference on Data Engineering Workshops (ICDEW), pp181-192.
No. 13-03 Oates C and Mukherjee S.Joint estimation of multiple networks from time course data.
No. 13-04 Zhou Y, Johansen AM and Aston JAD.Towards Automatic Model Comparison an Adaptive Sequential Monte Carlo Approach.
No. 13-05 Nam CFH, Aston JAD, Eckley IA and Killick R.The Uncertainty of Storm Season Changes: Quantifying the Uncertainty of Autocovariance Changepoints.
No. 13-06 Costa L, Smith JQ and Nichols TE.On the Selection of Multigression Dynamic Models of fMRI networked time series.
No. 13-07 Khan MHR and Shaw JEH.On Dealing with Censored Largest Observations under Weighted Least Squares.
No. 13-08 Minas G, Aston JAD and Stallard N.Adaptive multivariate global testing.
No. 13-09 Rahman Khan MH and Shaw JEH.Robust bias estimation for Kaplan-Meier Survival Estimator with Jackknifing.
No. 13-10 Rubio FJ and Steel MFJ.Bayesian modelling of skewness and kurtosis with two-piece scale and shape transformations.
No. 13-11 Lamnisos D, Griffin JE and Steel MFJ.Adaptic MC3 and Gibbs Algorithms for Bayesian Model Averaging in Linear Regression Models.
No. 13-12 Pollock M, Johansen AM and Roberts GO.On the Exact and E-Strong Simulation of (Jump) Diffusions.
No. 13-13 Latuszynski K and Rosenthal JS.The Containment Condition and AdapFail algorithms.
No. 13-14 Cowell RG and Smith JQ.Causal discovery through MAP selection of stratified chain event graphs.
No. 13-15 Vallejos CA and Steel MFJ.On posterior propriety for the Student-t linear regression model under Jeffreys priors.
No. 13-16 Leonelli M and Smith JQ.Dynamic Uncertainty Handling for Coherent Decision Making in Nuclear Emergency Response.
No. 13-17 Hasinur Rahaman Khan MD and Shaw JEH.Variable Selection for Surival Data with a Class of Adaptive Elastic Net Techniques.
No. 13-18 Pigoli D, Menafoglio A and Secchi P.Kriging prediction for manifold-valued random field.
No. 13-19 Varin C, Cattelan M and Firth D.Statistical Modelling of Citation Exchange Among Statistics Journals.Journal of the Royal Statistical Society, Series A.
No. 13-20 Costa L, Smith JQ, Nichols TE and Cussens J.Searching Multiregression Dynamic Models of Resting-Stat fMRI Networks using Integer Programming.
No. 13-21 Ogden H.A sequential reduction method for inference in generalized linear mixed models.
No. 12-01 Chakrabarty D, Biswas M and Bhattacharya S.Bayesian Inverse Learning of Milky Way Model Parameters using New Matrix-Variate Gaussian Process-Based Method.
No. 12-02 Cotter SL, Roberts GO, Stuart AM and White D.MCMC Methods for Functions, Modifying Old Algorithms to make them faster.
No. 12-03 Finkenstadt BFF, Woodcock DJ, Komorowski M, Harper CV, Davis JRE, White MRH, Rand DA.Quantifying intrinsic and extrinsic noise in gene transcription: an application to single cell imaging data.
No. 12-04 Rubio FJ and Johansen AM.On Maximum Intractable Likelihood Estimation.
No. 12-05 Ogundimu EO and Hutton JL.A general sample selection model with Skew-normal distribution.
No. 12-06 Barclay LM, Hutton JL and Smith JQ.Embellishing a Bayesian Network using a Chain Event Graph.
No. 12-07 Oates C and Mukherjee S.Structural inference using nonlinear dynamics.
No. 12-08 Hutton JL and Ogundimu EO.A note on two-parameter generalized skew-normal distribution.
No. 12-09 Chakrabarty C.Detection of bistable phase space of a real galaxy, using a new non-parametric Bayesian test of hypothesis.
No. 12-10 Sorrentino A, Johansen AM, Aston JAD, Nichols TE and Kendall WS.Dynamic filtering of Static Dipoles in MagnetoEncephaoGraphy.
No. 12-11 Shiers N and Smith JQ.Graphical inequality diagnostics for phylogenetic trees.
No. 12-12 Spano D and Lijoi A.Canonical correlations for dependent gamma processes.
No. 12-13 Fassino C, Pistone G and Riccomagno E.The Algebra of Quadrature Forumlae for Generic Nodes.
No. 12-14 Pigoli D, Aston JAD, Dryden IL and Secchi P.Distances and Inference for Covariance Functions.
No. 12-15 Zwiernik P and Smith JQ.The Dependence of Routine Bayesian Model Selection Methods on Irrelevant Alternatives.
No. 12-16 Alili L, Graczy P and Zak T.On inversions and Doob h-transforms of linear diffusions.
No. 12-17 Barclay LM, Hutton JL and Smith JQ.Chain Event Graphs for Informed Missingness.
No. 12-18 Lee A and Latuszysnki K.Variance bounding and geometric ergodicity of Markov chain Monte Carlo kernels for approximate Bayesian computation.
No. 12-19 Ogundimu EO and Hutton JL.A Unified Approach to Multilevel Sample Selection Models.
No. 12-20 Liverani S and Smith JQ.Bayesian Selection of Graphical Regulatory Models.
No. 12-21 Alili L and Patie P.Boundary Crossing Identities for Brownian Motion and some Non Linear ODE's.
No. 12-22 Leonelli M and Smith JQ.Using graphical modeling and multi-attribute utility theory for uncertainty handling in large systems.
No. 12-23 Nam CFH, Aston JAD and Johansen AM.Parellel sequential Monte Carlo samplers and estimation of the number of states in a Hiddden Markov Model.
No. 12-24 Spencer SEF, Hill SM and Mukherjee S.Dynamic Bayesian networks for interventional data.
No. 11-01 Costa MJ, Finkenstadt BF and Gould PD.Estimating Periodicity of Oscillatory Time Series through Resampling Techniques.
No. 11-02 Latuszynski K, Miasojedow and Niemiro W.Nonasymptotic bounds on the mean square error for MCMC estimates via renewal techniques.Monte Carlo and Quasi-Monte Carlo Methods 2010, Springer, to appear.
No. 11-03 Latuszynski K, Roberts GO and Rosenthal JS.Adaptive Gibbs samplers and related MCMC methods.Annals of Applied Probability, 2011.
No. 11-04 Latuszynski K and Roberts GO.CLTs and asymptotic variance of time-sampled Markov chains.
Methodology and Computing in Applied Probability, 2011.
No. 11-05 Jacka SD, Warren J and Windridge P.Minisming the time to a decision.
No. 11-06 Jacka SD.A simple proof of Kramkov's result on uniform supermartingale decompositions.
No. 11-07 Aston JAD and Kirch C.Detecting and estimating epidemic changes in dependent functional data.
No. 11-08 Pillai NS, Stuart AM and Thiery AH.Optimal Scaling and Diffusion Limits for the Langevin Algorithm in High Dimensions.
No. 11-09 Thwaites PA and Smith JQ.Separation Theorems for Chain Event Graphs.
No. 11-10 Woodcock DJ, Komorowski M, Finkenstadt BF, Harper CV, David JRE, White MRH and Rand DA.A Bayesian hierarchical diffusion model for estimating kinetic parameters and cell-to-cell variability.
No. 11-11 Zwiernik P and Smith JQ.Implicit inequality constraints in a binary tree model.
No. 11-12 Smith JQ and Dodd L.Regulating Autonomous Agents facing Conflicting Objectives: A Command and Control Example.
No. 11-13 Rubio FJ and Steel MFJ.Inference in Two-Piece Location-Scale models with Jeffreys Priors.
No. 11-14 Firth D.On Improved Estimation for Importance Sampling.Brazilian Journal of Probability and Statistics25, 437–443.
No. 11-15 Thwaites PA.Using Chain Event Graphs to refine model selection.
No. 11-16 Thwaites PA.Causal identifiability via Chain Event Graphs.
No. 11-17 Aston JAD and Kirch C.Estimation of the distribution of change-points with application to fMRI data.
No. 11-18 Hill B, Kendall WS and Thonnes E.A Gradient Field Approach to Modelling Fibre-Generated Spatial Point Processes.58th Congress of ISI, Dublin, 21st-26th August 2011, 2011, p.4.
No. 11-19 Nam CFH, Aston JADA and Johansen AM.Quantifying the Uncertainty in Change Points.
No. 11-20 Thwaites PA and Smith JQ.A Graphical method for simplifying Bayesian games.
No. 11-21 Goudie RJB and Mukherjee S.An efficient Gibbs sampler for structural inference in Bayesian networks.
No. 11-22 Minas G, Rigat F, Nichols T, Aston J and Stallard N.A hybrid procedure for detecting Global Treatment Effects in Multivariate Clinical Trials Theory and Applications to fMRI Studies.Statistics in Medicine, 31-253-268 (2012)
No. 11-23 Laytuszynski K, Miasojewdow B and Niemiro W.Nonasymptotic bounds on the estimation of MCMC algorithms.
No. 11-24 Rubio FJ and Steel MFJ.On the Marshall-Olkin transformation as a skewing mechanism.Computational Statistics and Data Analysis, forthcoming.
No. 11-25 Hill BJ, Kendall WS and Thonnes E.Fibre-Generated Point Processes and Fields of Orientations.Annals of Applied Statistics, vol. (accepted subject to revision), no. arXiv 1109.0701, p.31, 2011.
No. 11-26 Zhou Y, Aston JAD and Johansen AM.Bayesian Model Comparison for Compartmental Models with Applications in Positron Emission Tomography.
No. 11-27 Hadjipantelis PZ, Aston JAD and Evans JP.Characterizing fundamental frequency in Mandarin: A functional principal component approach utilising mixed effect models.
No. 11-28 Blath J, Gonzalez Casanova A, Kurt N and Spano D.On the ancestral process of long-range seedbank models.
No. 11-29 Chakrabarty D, Gabrielyan N, Paul S, Rigat F and Beanland R.Bayesian Learning of Material Density and the Blurring Function, given 2-D images taken with bulk Microscopy Techniques.
No. 11-30 Oates CJ and Mukherjee S.Network Inference and Biological Dynamics.
No. 11-31 Rubio FJ and Steel MFJ.Bayesian Inference for P (X<Y) using Asymmetric Dependent Distributions.
No. 11-32 Chakrabarty D.Galactic Phase Spaces.
No. 10-01 Kolossiatis M, Griffin JE and Steel MFJ.Modelling overdispersion with the Normalized Tempered Stable distribution.Computational Statistics and Data Analysis, 55, (2011), 2288-2301.
No. 10-02 Latuszynski K and Rosenthal JS.Adaptive Gibbs samplers.
No. 10-03 Zwiernik P and Smith JQ.The Geometry of Independence Tree Models with Hidden Variables.Electronic Journal of Statistics (to appear).
No. 10-04 Mazzetta C, Morgan BJT and Coulson T.A state-space modelling approach to population size estimation.
No. 10-05 Papavasiliou A.Coarse-grained modelling of multiscale diffusions: the p-variation estimates.
No. 10-06 Zwiernik P.Asymptotic model selection and identifiability or directed tree models with hidden variables.
No. 10-07 Griffiths RC and Spano D.n-Kernel Orthogonal Polynomials on the Dirichlet, Dirichlet-Multinomial, Poisson-Dirichlet and Ewens sampling distributions, and positive-definite sequences.
No. 10-08 Akacha M and Hutton JL.Modelling the rate of change in a longitudinal study with missing data, adjusting the contact attempts.
No. 10-09 Akacha M, Hutton JL and Lamb SE.Modelling Treatment, Age-and Gender-Specific Recovery in Acute Injury Studies.
No. 10-10 Kosmidis I and Karlis D.Supervised sampling for clustering large data sets.
No. 10-11 Riccomagno E, Smith JQ and Thwaites P.Algebraic discrete causal models.
No. 10-12 Didelot X, Everitt RG, Johansen AM and Lawson DJ.Likelihood-free estimation of model evidence.Bayesian Analysis, 6(1):49-74, March 2011.
No. 10-13 Smith JQ and Freeman G. Distributional Kalman filters for Bayesian forecasting and closed form recurrences.Journal of Forecasting, Vol 30, No. 1 210-224.
No. 10-14 Freeman G and Smith JQ. Dynamic staged trees for discrete multivariate time series: forecasting, model selection and causal analysis.Bayesian Analysis, Vol. 06, No. 02, 279-306.
No. 10-15 Cowell RG, Thwaites P and Smith JQ. Decision making with decision event graphs.
No. 10-16 Kosmidis I and Firth D. A generic algorithm for reducing bias in parametric estimation. Electronic Journal of Statistics, vol 4 (2010), 1097-1112 URL:http://dx.doi.org/10.1214/10-EJS579.
No. 10-17 Dodd L and Smith JQ. Devolving Command Decisions in Complex Operations.Journal of the Operational Research Society (to appear 2012).
No. 10-18 Kosmidis I and Firth D. Multinomial logit bias reduction via Poisson log-linear model.Biometrika98, 755–759.
No. 10-19 Cattelan M, Varin C and Firth D. Dynamic Bradley-Terry Modelling of Sports tournaments. Now accepted for publication in the Journal of Royal Statistical Society Series C (Applied Statistics)
http://onlinelibrary.wiley.com/doi/10.1111/j.1467-9876.2012.01046.x/abstract.
No. 10-20 Rubio FJ and Steel MFJ. Inference for grouped data with a truncated skew-Laplace distribution.Computational Statistics and Data Analysis, 55, (2011), 3218-3231.
No. 10-21 Kaddoum G, Lawrance AJ, Charge P and Roviras D. Chaos Communication Performance: Theory and Computation.
No. 10-22 Kolossiatis M, Griffin JE and Steel MFJ. On Bayesian nonparametric modelling of two correlated distributions.Statistics and Computing, forthcoming.
No. 10-23 Ley E and Steel MFJ. Mixtures of g-priors for Bayesian Model Averaging with Economic Applications.Journal of Econometrics, forthcoming.
No. 10-24 Griffin JE, Kolossiastis M and Steel MFJ. Comparing Distributions Using Dependent Normalized Random Measure Mixtures.
No. 09-01 Papavasiliou A and Ladroue C.Parameter Estimation for Rough Differential Equations.
No. 09-02 Copas JB and Lozada-Can Claudia.The Radial Plot in Meta Analysis: Approximations and Applications.
No. 09-03 Copas JB.Likelihood for Statistically Equivalent Models.
No. 09-04 Marshall T and Roberts GO.An erogdicity result for adaptive Langevin algorithms.
No. 09-05 Griffin JE and Steel MFJ.Time-Dependent Stick-Breaking Processes.
No. 09-06 Freeman G and Smith JQ.Bayesian MAP Model Selection of Chain Event Graphs.Journal of Multivariate Analysis, 102, 1152-1165.
No. 09-07 Thwaites PA, Freeman G and Smith JQ.Chain Event Graph MAP Model selection.Journal of Multivariate Analysis, 102, 1152-1165.
No. 09-08 Smith JQ, Riccomagno E and Thwaites PA.Causal analysis with Chain Event Graphs.Journal of Artificial Intelligence, 174, 889-909.
No. 09-09 Roberts GO and Rosenthal JS.Quantitative Non-Geometric Convergence Bounds for Independence Samplers.Methodology and Computing in Applied Probability, 2, 391-403, 2011.
No. 09-10 Sherlock C and Roberts GO.Optimal scaling of the random walk Metropolis on elliptically symmetric unimodal targets.Bernoulli, 3, 774-798, 2009.
No. 09-11 Jiang CR, Aston JAD and Wang JL.Smoothing dynamic positron emission tomography time courses using functional principal components.NeuroImage, Vol. 47, Pages 184-193.
No. 09-12 Yau C, Papaspiliopoulos O, Roberts GO and Holmes C.Bayesian Nonparametric hidden Markov models with application to the analysis of copy-number-variation in mammalian genomes.Journal Royal Statistical Soc., series B, 1, 35-57, 2011.
No. 09-13 Mattingly JC, McKinley SA and Pillai NS.Geometric ergodicity of a bead-spring pair with stochastic Stokes forcing.
No. 09-14 Li WV, Pillai NS and Wolpert RL.On the supremum of certain families of Stochastic.
No. 09-15 Bai Y, Roberts GO and Rosenthal JS.On the containment condition for adaptive Markov Chain Monte Carlo algorithms.Adv. Applied Statistics, 1-54, 2011.
No. 09-16 Sherlock C, Fearnhead P and Roberts GO.The random walk Metropolis: linking theory and practice through a case study.Statistical Science, 2, 172-190, 2010.
No. 09-17 Jacks SD.Markov Chains conditioned never to wait too long at the origin.
No. 09-18 Liverani S, Cussens J and Smith JQ.Searching a multivariate partition space using weighted MAX-SAT.CIBB 2009, F.Masulli, L. Peterson, and R. Tagliaferri (Eds), LNBI 6160, 240-253. Springer, Heidelberg.
No. 09-19 Mattingly JC, Pillai NS and Stuart AM.SPDE limits of the random walk Metropolis algorithm in high dimensions.
No. 09-20 Mazzetta C.Age-specificity in conditional ring-recovery models.
No. 09-21 Alexander KS and Zygouras N.Quenched and annealed critical points in polymer pinning models.
No. 09-22 Alexander KS and Zygouras N.Equality of critical points for polymer depinning transitions with loop exponent one.
No. 09-23 Latuszynski K, Maisojedow B and Wojciech N.Nonasymptotic bounds on the estimation error for regenerative MCMC algorithms under a drift condition.
No. 09-24 Guan SL, Bonnett L and Brettschneider J.Using gene subsets in the assessment of microarray data quality for time course experiments.
No. 09-25 Lamnisos D, Griffin JE and Steel MFJ.Cross-validation prior choice in Bayesian probit regression with many covariates.Statistics and Computing, 22, (2012), 359-373.
No. 09-26 Kuha J and Firth D.On the index of dissimilarity for lack of fit in loglinear and log-multiplicative models.http://dx.doi.org/10.1016/j.csda.2010.05.005Link opens in a new window
No. 09-27 Cart A and Steel MFJ.Modelling Multi-ouput stochatic frontiers using copulas.Computational Statistics and Data Analysis, forthcoming.
No. 09-28 Papaspiliopoulos O and Roberts GO.Importance sampling techniques for estimatino of diffusion models.
No. 09-29 Pokern Y, Papaspiliopoulos, Roberts GO and Stuart AM.Nonparametric Bayesian drift estimation for one-dimensional diffusion processes.
No. 09-30 Latuszynski K, Kosmidis I, Papaspiliopoulos O and Roberts GO.Simulating Events of Unknown Probabilities via Reverse Time Martingales.Random Structures and Algorithms, 38 (4), 442-453, 2011.
No. 09-31 Papaspiliopoulos O.A methodological framework for Monte Carlo probabilistic inference for diffusion processes.
No. 09-32 Zwiernik P and Smith JQ.The Geometry and Independence tree models with hidden variables.Bernoulli (to appear).
No. 09-33 Da Fonseca TCO and Steel MFJ.Non-Gaussian Spatiotemporal Modelling through Scale Mixing.Biometrika, 98, (2011), 761-774.
No. 09-34 Akacha M and Benda N.The Impact of Dropouts on the Analysis of Dose-Finding Studies with Recurrent Event Data.
No. 09-35 Latuszynski K and Niemiro W.Rigorous confidence bounds for MCMC under a geometric drift condition.Journal of Complexity, 27(1), pp. 23-38 (2011).
No. 09-36 Kosmidis I.On iterative adjustment of responses for the reduction of bias in binary regression models.
No. 09-37 Rigat Fand Mira A.Parallel hierarchical sampling: a general-purpose class of multiple-chains MCMC algorithms.
No. 09-38 Hairer M and Pillai NS.Ergodicity of hypoelliptic SDEs drive by fractional Brownian motion.
No. 09-39 Hutton JL and Stanghellini E.Modelling health scores with the skew-normal distribution.
No. 09-40 Griffiths RC and Spano D.Diffusion processes and coalescent trees.
No. 09-41 Lamnisos D, Griffin JE and Steel MFJ.Adaptive Monte Carlo for Binary Regressio with Many Regressors.
No. 09-42 Akacha M and Hutton JL.Analysing the rate of change in a longitudinal study with missing data, taking into account the number of contact attempts.
No. 09-43 Kendall WS.Geodesics and flows in a Poissonian city.Annals of Applied Probability, vol. 21, no. 3, pp. 801-842, Oct 2011.
No. 09-44 Rogers J, Hutton JL and Hemming K.Joint Modelling of Event Counts and Survival Times.
No. 09-45 Varin C, Reid N and Firth D.An overview of composite likelihood methods.Statistica Sinica, vol 21 (2011), pages 5-42.http://www3.stat.sinica.edu.tw/statistica/j21n1/21-1.html
No. 09-46 Akacha M,Da Fonseca T and Liverani S.First CLADAG Data Mining Prize: Data Mining for Longitudinal Data with Different Marketing Campaigns.
No. 09-47 Chakrabarty D.Different Tracers given Different Graviational Mass Distributions.
No. 08-01 Alili L and Patie P.Boundary Crossing Identities for Self-Similar Diffusions having the time inversionproperty.
No. 08-02 Costa MJ and Shaw JEH.Parametrization and Penalties in Spline Models with an Application to Survival Analysis.
No. 08-03 Connor S and Jacka SD.Optimal Co-adapted Coupling for the Symmetric Random Walk on the Hypercube.Journal of Applied Probability, 45, 703-713 (2008).
No. 08-04 Smith JQ, Anderson PE and Liverani S.Clustering with Proportional Scaling.
No. 08-05 Kosmidis I and Firth D.Bias Reduction in Exponential Family Nonlinear Models.Biometrikahttp://dx.doi.org/10.1093/biomet/asp055
No. 08-06 Thwaites PA, Smith JQ and Cowell RG.Propagation using Chain Event Graphs.Proceedings of the 24th Conference in Uncertainty in Artificial Intelligence, Editors D. McAllester and P. Myllymaki, Helsinki, (2008), 546-553.
No. 08-07 Marshall T and Roberts GO.Perfect Bayesian Inference for discretely-observed diffusion processes.
No. 08-08 Lamnisos D, Griffin JE and Steel MFJ.Transdimensional sampling algorithms for Bayesian variable selection in classification problems with many more variables than observations.
No. 08-09 Smith JQ, Dodd L and Moffat J.Devolving Command under Conflicting Military Objectives.
No. 08-10 Su J, Hill B, Kendall WS and Thonnes E.Inference for point processes with unobserved one-dimensional reference structure.
No. 08-11 Martin, DEK and Aston JAD.Waiting time distribution of generalized later patterns.Computational Statistics and Analysis, Vol. 52, Issue. 11, (2008), 4874-4890.
No. 08-12 Smith JQ and Daneshkhah A.Large incomplete sample robustness in Bayesian networks.Proceedings of the 4th European Workshop on Probabilistic Graphical Models, Eds M. Jaeger and T.D. Nielsen, Hirtshals, Denmark, (2008), 265-272.
No. 08-13 Fonseca TCO and Steel MFJ.A new class of nonseparable space-time covariance models.
No. 08-14 Pelcuhetti S and Roberts GO.An empirical study of the efficiency of EA for diffusion simulation.To appear in Proceedings of MCQMC 2008, 2012.
No. 08-15 Goldschmidt C, Martin JB and Spano D.Fragmenting random permutations.
No. 08-16 Jewell CP, Keeling MJ and Roberts GO.Predicting infected but undetected infections during the 2007 Foot-and-Mouth Disease outbreak.
No. 8-17 Favaro S, Riggiero N, Spano D and Walker SG.The neutral population model and Bayesian non-parametrics.
No. 8-18 Peluchetti S, Roberts GO and Casella B.The strong weak convergence of the Quasi-EA.To appear in Queueing systems, 2012.
No. 08-19 Casella B and Roberts GO.Exact simulation of jump-diffusion processes with Monte Carlo applications.Methodology and Computing in Applied Probability, 3, 449-473, 2011.
No. 08-20 Papaspiliopoulos O.A note on posterior sampling from Dirichlet mixture models.
No. 08-21 Riccomagno E.A short history of algebraic statistics.
No. 08-22 Liverani S, Anderson PE, Edwards KD, Millar AJ and Smith JQ.Efficient Utility-based Clustering over High Dimensional Partition Spaces.Journal of Bayesian Analysis, Vol. 4, No. 3 pp539-572.
No. 08-23 Griffin JE and Steel MFJ.Bayesian inference with stochastic volatility models using continuous superpositions of non-Gaussian Ornstein-Uhlenbeck processes.
No. 08-24 Griffiths RC and Spano D.Multivariate Jacobi and Laguerre polynomials, infinite-dimensional extensions, and their probabilistic connections with multivariate Hahn and Meixner polynomials.
No. 08-25 Aston JAD, Chiou JM and Evans JE.Linguistic Pitch Analysis using Functional Principal Component Mixed Effect Models.
No. 08-26 Aston JAD, Peng JY and Martin DEK.Implied Distributions in Multiple Change Point Problems.
No. 08-27 Papavasiliou A, Pavliotis GA and Stuart AM.Maximum likelihood Drift Estimation for Multiscale Diffusions.
No. 08-28 Smith JQ and Daneshkhah A.On the Robustness of Bayesian Networks to Learning from Non-conjugate Sampling.
No. 07-01 Copas JB and Lozada C.Asymptotic Approximations for the Radial Plot in Meta Analysis, and a Bias Correction to the Egger Test.
No. 07-02 Griffin JE and Brown PJ.Bayesian adaptive lassos with non-convex penalization.
No. 07-03 Griffin JE.The Ornstein-Uhlenbeck Dirichlet Process and other time-varying processes for Bayesian
nonparametric inference.
No. 07-04 Parsons N, Smith JQ, Thonnes E and Wilson RL.Rotationally invariant statistics for examining the evidence from the pores in fingerprints.Law, Probability and Risk, 7, (2008) 1-14.
No. 07-05 Griffin JE and Steel MFJ.Bayesian Nonparametric modelling with the Dirichlet Process Regression Smoother.
No. 07-06 Rigat F and Muliere P.Beta-Stacy survival regression models.
No. 07-07 Rigat F and Smith JQ.Sequential change-point detection for time series models: assessing the functional dynamics of neuronal networks.
No. 07-08 Ley E and Steel MFJ.On the effect of prior assumptions in Bayesian model averaging with applications to growth regression.Journal of Applied Econometrics, 24, (2009), 651-674.
No. 07-09 Smith JQ.Local Robustness of Bayesian Parametric Inference and Observed Likelihoods.
No. 07-10 Jacka SD, Berkaoui A and Warren J.No Arbitrage and Closure Results for Trading Cones with Transaction Costs.Finance and Stochastics, 12, 583-600, (2008).
No. 07-11 Fearnhead P, Papaspiliopoulos O, Roberts GO and Stuart A.Filtering Systems of Coupled Stochastic Differential Equations partially observed at High Frequency.
No. 07-12 Hemming K and Hutton JL.Sensitivity Models for Missing Covariates in the Analysis of Survival Data from Multiple Surveys.
No. 07-13 Riccomagno E and Smith JQ.Algebraic Causality: Bayes Nets and Beyond.
No. 07-14 Riccomagno E and Smith JQ.The Causal Manipulation of Chain Event Graphs.
No. 07-15 Copas JB.The Radial Plot in Meta Analysis: Approximations and Applications.
No. 07-16 Batchelor A, Turner HL and Firth D.Nonlinear Discrete-Time Hazard Models for Entry into Marriage.
No. 07-17 Copas JB and Malley PF.A Robust P-value for Treatment Effect in Meta Analysis with Publication Bias.
No. 07-18 Quintana F, Steel MFJ and Ferreira JTAS.Flexible Univariate Continous Distributions.
No. 07-19 Jacka SD and Sheehan M.The Noisy Veto-Voter Model: A Recursive Distributional Equation on [0, 1].Journal of Applied Probability, 45, 670-688, (2008).
No. 07-20 Jacka SD and Berkaoui AK.On Representing Claims for Coherent Risk Measures.
No. 07-21Papaspiliopoulos O and Sermaidis G.Parametric Estimation of Discretely Observed Diffusions using the EM Algorithm.
No. 07-22 Smith JQ and Rigat F.Isoseparation and Robustnes in Finite Parameter Bayesian Inference.
No. 07-23 Berthelsen KK, Breyer LA and Roberts GO.Perfect Posterior Simulation for Mature and Hidden Markov Models.
No. 07-24 Papaspiliopoulos O and Sermaidis G.Monotonicity Properties of the Monte Carlo EM Algorithm and Connections with Simulated Likelihood.
No. 07-25 Kimani PK, Stallard N and Hutton JL.Dose Selection in Seamless Phase II/III Clinical Trials based on Efficacy and Toxicity.
No. 07-26 Cassella B and Roberts GO. Exact Monte Carlo Simulation of Killed Diffusions.
No. 07-27 Roberts GO and Sangalli LM.Latent Diffusion Models for Event History Analysis.
No. 06-01 M Henmi, JB Copas and S Eguchi.Confidence Intervals and P-valves for Meta Analysis with Publication Bias.Biometrics, 63, 475-482 (2007).
No. 06-02 KL Boyd and JL Hutton.Missing Covariate data in Parametric Survival Analysis - Modelling the Missing Data Mechanism.
No. 06-03 H Maruri-Aguilar, R Notari and E Riccomagno.On the description and identifiability analysis of experiments with mixtures.
No. 06-04 J Curtice and D Firth.Exit Polling in a cold climate: The BBC/ITV experience in Britain in 2005.Journal of the Royal Statisical Society A, 171, 509-539.
No. 06-05 MA Juarez and MFJ Steel.Non-Gaussian Dynamic Bayesian Modelling for Panel Data.
No. 06-06 JE Griffin and RCA Oomen.Covariance Measurement in the Presence of Non-Synchoronous Trading and Market Microstructure Noise.
No. 06-07 PE Anderson, JQ Smith, KD Edwards and AJ Millar.Guided Conjugate Bayesian Clustering for Uncovering Rhythmically Expressed Genes.
No. 06-08 PE Anderson and JQ Smith.Bayesian Representations Using Chain Event Graphs.
No. 06-09 E Riccomagno and JQ Smith.The geometry of causal probability trees that are algebraically constrained.Optimal Design and Related Areas in Optimization and Statistics, Eds L. Pronzato & A. Zhigljavsky, Springer 131-152 (2009).
No. 06-10 JQ Smith, PE Anderson and S Liverani.Separation Measures and the Geometry of Bayes Factor Selection for Classification.Journal of the Royal Statistical Society B, Vol. 70, Part 5, (2008), 957-980.
No. 06-11 WS Kendall, Y Shen and E Thonnes.N-fold way simulated tempering for pairwise interaction point processes.
No. 06-12 E Ley and MFJ Steel.Jointness in Bayesian Variable Selection with Applications to Growth Regression.Journal of Macroeconomics, 29 (2007), 476-493.
No. 06-13 JE Griffin.On the Bayesian analysis of species sampling mixture models for density estimation.
No. 06-14 MA Juarez and MFJ Steel.Model-based clustering of non-Gaussian panel data.
No. 05-1 JB Copas and S Eguchi.Local Model Uncertainty and Incomplete Data bias.Journal of the Royal Statistical Society, Series B , 67, (2005), 459-513.
No. 05-2 WS Kendall, JM Marin and CP Robert.Brownian confidence bands on Monte Carlo output.Statistics and Computing Vol 17, No. 1, (2006), 1-10.
No. 05-3 JS Smith and PE Anderson.Conditional Independence and Chain Event Graphs.Artificial Intelligence, 172, 1, (2008), 42-68.
No. 05-4 SD Jacka, Z Lazic and J Warren.Conditioning an Additive Functional of a Markov Chain to stay Non-Negative I: Survival for a Long Time. Adv. Appl. Prob. 37(4), 1015-1034 (2005).
No. 05-5 SD Jacka, Z Lazic and J Warren.Conditioning an Additive Functional of a Markov Chain to stay Non-Negative II: Hitting a High Level.Adv. Appl. Prob. 37(4), 1035-1055 (2005).
No. 05-6 JTAS Ferreira and MFJ Steel.Modelling Directional Dispersion Through Hyperspherical Log-Splines.Journal of the Royal Statistical Society, Series B, 67, (2005), 599-616.
No. 05-7 MB Palacios and MFJ Steel.Non-Gaussian Bayesian Geostatistical Modelling.Journal of the American Statistical Association, Theory and Methods, 101 (2006), 604-618.
No. 05-8 JTAS Ferreira and MFJ Steel.A Constructive Representation of Univariate Skewed Distributions.Journal of the American Statistical Association, Theory and Methods, 101 (2006), 823-829.
No. 05-9 JE Griffin and MFJ Steel.Order-Based Dependent Dirichlet Processes.Journal of the American Statistical Association, 101, (2006), 179-194.
No. 05-10 JE Griffin and PJ Brown.Alternative Prior Distributions for Variable Selection with very many more Variables than Observations.
No. 05-11 MN Bennett and JE Kennedy.A Comparison of Markov-Functional and Market Models: The One-Dimensional Case.
No. 05-12 PE Anderson and JQ Smith.A Graphical Framework for representing the semantics of asymmetric models.
No. 05-13 JQ Smith and AAF Santos.Second Order Filter Distribution Approximations for Financial Time Series with Extreme Outliers.Journal of Business & Economic Statistics, Vol. 24, No. 3, (2006), 329-337.
No. 05-14 MA Juarez.Objective Bayes Estimation and Hypothesis Testing: the reference-intrinsic approach.
No. 05-15 MA Juarez.Normal Correlation: An Objective Bayesian Approach.
No. 05-16 EM Riccomagno and JQ Smith.The Causal Manipulation and Bayesian Estimation of Chain Event Graphs.
No. 05-17 JTAS Ferreira, MA Juarez and MFJ Steel.Directional Log-spline Distributions.Bayesian Analysis, 3, (2008), 297-316.