Posters


author	coauthors	affiliation	title
Fabian Dablander	Don van den Bergh, Alexander Ly, Eric-Jan Wagenmakers	Department of Psychological Methods, University of Amsterdam	Default Bayes factor for testing the (in)equality of several population variances
Pedro Fonseca		ISEG Lisbon School of Economics and Management	Bayesian Digit Analysis
Laurentiu Catalin Hinoveanu		University of Kent	A Loss-Based Prior for Gaussian Graphical Models
Yunju Im	Aixin Tan	Department of Statistics and Actuarial Science, University of Iowa	Bayesian subgroup analysis in regression using mixture models
Ruei-Chi Lee	Sheng-Kai Chang	Department of Economics, National Taiwan University	A Bayesian Estimation of Panel Stochastic Frontier Models with Determinants of Persistent and Transient Inefficiencies in Both Location and Scale Parameters
Andrej Srakar		Institute for Economic Research (IER) and Faculty of Economics, University of Ljubljana, Slovenia	Objective Bayesian nonparametric estimation in longitudinal mediation: A Baron-Kenny based estimator for cross-lagged models
Satwik Acharyya	Debdeep Pati, Anirban Bhattacharya	Department of Statistics, Texas A&M University	Variational Bayes Inference on Stiefel Manifold
Emanuele Aliverti	Massimiliano Russo	Department of Statistical Sciences, Università di Padova	SCALABLE INFERENCE FOR NETWORK FACTOR MODEL
Esmail Amiri		Department of Statistics, Imam Khomeini International University, Qazvin, Iran.	Forecasting integer valued ARMA processes in a Bayesian approach
Alejandra Avalos-Pacheco	Roberta De Vito, Barbara Engelhardt, David Rossell		Cross-study Bayesian Factor Regression Analysis in High-dimensional Biological Data
Haakon Bakka	Elias Krainski, David Bolin, Havard Rue, Finn Lindgren	CEMSE Division, King Abdullah University of Science and Technology, Saudi Arabia	How to put priors on parameters hiding inside complex space-time models
Cecilia Balocchi	Edward I. George, Shane T. Jensen	Wharton	Prior Choice for Clustering Areal Data
Diego Battagliese		MEMOTEF Department - Sapienza University of Rome	Objective interpretation of the Penalised Complexity priors in Copula models
Olivier Binette		Universit ́e du Qu ́ebec a` Montr ́eal	An Analysis of Posterior Concentration under Misspecification in terms of the Separation α-Entropy
Federico Castelletti	Guido Consonni	Università Cattolica del Sacro Cuore (Milan)	OBJECTIVE BAYESIAN INFERENCE OF DAG MODELS FOR THE ESTIMATION OF CAUSAL EFFECTS
Marta Catalano	Antonio Lijoi, Igor Prünster	Department of Decision Sciences, Bocconi University, Milano, Italy	Measuring the sensitivity to prior specification for time-to-event data through the Wasserstein distance
Roy Costilla	Daniel Fernandez, Ivy Liu Richard Arnold	Institute for Molecular Bioscience and Queensland Alliance for Agriculture and Food Innovation. University of Queensland. Brisbane, Australia	Seeing the forest for the trees: Visualising clusters in repeated ordinal data using a Bayesian non-parametric approach
Sameer Deshpande	Cecilia Balocchi, Ed George, Shane Jensen	MIT	Approximate multiple shrinkage for clustered regressions
Augusto Fasano	Giovanni Rebaudo, Daniele Durante	Department of Decision Sciences, Bocconi University, Milano, Italy	Closed Form Bayesian Filtering for Multivariate Binary Time Series
Catherine Forbes		Monash University	Comparing and combining forecast distributions having different dimensions
Andrew Fowlie		Department of Physics and Institute of Theoretical Physics, Nanjing Normal University, Nanjing, Jiangsu 210023, China	Bayesian and frequentist approaches to discoveries at the Large Hadron Collider
Ali Gargoum		Department of Statistics UAE University, Al Ain, United Arab Emirates	Managing uncertainty about release height after an accident: A Bayesian Updating Procedure
Aritra Guha	Nhat Ho, XuanLong Nguyen	Department of Statistics, University of Michigan	On posterior contraction of parameters and interpretability in Bayesian mixture modeling
Katarzyna Kaczmarek-Majer	Karol Oparaa, Monika Dominiakb, Olgierd Hryniewicz	Department of Stochastic Methods, Systems Research Institute, Polish Academy of Sciences	Application of Bayesian Network in Smartphone-Based Monitoring of Bipolar Disorder Patients
Jeremias Knoblauch	Jack Jewson, Theo Damoulas	University of Warwick	Generalized Variational Inference
Guillaume KON KAM KING	Omiros PAPASPILIOPOULOS, Matteo RUGGIERO	University of Torino and Collegio Carlo Alberto	Computable inference for a class of non-linear state-space models
Deborah Kunkel		School of Mathematical and Statistical Sciences, Clemson University, USA	Influence of priors on model selection in finite Gaussian mixture models
Richard Le Blanc		Université de Sherbrooke, Qc, Canada	Analytic Bayes-Laplace-Fredholm prior and posterior
Kwangmin Lee	Jaeyong Lee		Post-Processed Posterior Methods for High-dimensional Sparse Covariances
Nicholas Lewis			Objective Bayes is NOT Bayesian
Jack McKenzie		University of Manchester	Improving Inference for the Contextual Bandit via Iterative Moment-Matching Algorithms.
Jiyoun Myung	Malay Ghosh, P.G. Sankaran	University of California, Santa Barbara	Nonparametric Bayes and Empirical Bayes Estimation of the Population Median, with Application in Finite- Population Sampling
Bo Ning		Department of Statistics and Data Science, Yale University	Detecting exoplanets using Bayesian high-dimensional analyses
Andriy Norets	Justinas Pelenis	Brown University	ADAPTIVE BAYESIAN ESTIMATION OF CONDITIONAL DISCRETE-CONTINUOUS DISTRIBUTIONS WITH AN APPLICATION TO STOCK MARKET TRADING ACTIVITY
Giovanni Rebaudo	Antonio Lijoi, Igor Prünster	Department of Decision Sciences, Bocconi University, Milano, Italy	Hybrid-BNP priors for clustering
Tommaso Rigon	Antonio Lijoi, Igor Prünster	Department of Decision Sciences, Bocconi University, Milan	Finite-dimensional random structures and Bayesian clustering
Justin Strait	Oksana Chkrebtii, Sebastian Kurtek	Department of Statistics, University of Georgia	Automatic Detection and Uncertainty Quantification of Landmarks on Elastic Curves
Ivo Tavares		CEMAPRE and ISEG, Lisbon School of Economics and Management, Universidade de Lisboa	Uncertainty Quantification in a State-Space Model using a Discrepancy Term with a Gaussian Process Prior: An example from Macroeconomics
Judith ter Schure	Peter Grünwald	CWI, Amsterdam	Accumulation Bias in meta-analysis: the need to consider time in error control
Massimo Ventrucci		Department of Statistical Sciences,University of Bologna	PC priors for residual correlation parameters in one-factor mixed models
Matteo Vestrucci	Stephen Walker	University of Texas at Austin	A population approach for Cognitive Disease Progression Models for clinical trials in autosomal-dominant Alzheimer’s Disease
Yekun Wang	Luis Pericchi	University of Puerto Rico	Prior-free Bayes Factors Based on Data splitting Compared with Geometric Intrinsic Bayes Factors

author

coauthors

affiliation

title