Lewis Rendell
I am a third-year PhD student in Statistics, working under the supervision of Dr Adam Johansen and Dr Anthony Lee. My research interests lie in Monte Carlo methodology; I am currently working problems relating to tuning Sequential Monte Carlo samplers, and on Monte Carlo algorithms in distributed settings.
Preprints
- Rendell, L. J., Johansen, A. M., Lee, A. and Whiteley, N. (2018): 'Global consensus Monte Carlo'.
arXiv preprint arXiv:1807.09288.
Talks and posters
- 12th June 2018: 'Global consensus Monte Carlo' (talk).
Young Researchers' Meeting, University of Warwick. - 26th March 2018: 'Global consensus Monte Carlo' (poster ).
Bayes Comp 2018, Barcelona, Spain. - 17th January 2018: 'S3 classes: object-oriented programming in R' (short talk) [video; material].
Warwick R User Group, University of Warwick. - 3rd November 2017: 'Global consensus Monte Carlo' (short talk).
Algorithms & Computationally Intensive Inference seminar series, University of Warwick. - 31st August 2017: 'Global consensus Monte Carlo' (poster ).
SMC Workshop 2017, Uppsala, Sweden. - 11th May 2017: 'Unit testing and continuous integration' (talk) [slides ].
Warwick R User Group, University of Warwick. - 6th March 2017: 'Principal components regression, partial least squares, and least angle regression' (talk).
Statistical Machine Learning Reading Group, University of Warwick. - 19th January 2017: 'Cleverly copying commands from the console' (short talk) [GitHub: ccopy package].
Warwick R User Group, University of Warwick.
- 14th June 2016: 'Temperature schedule selection for Sequential Monte Carlo samplers' (talk).
Young Researchers' Meeting, University of Warwick. - 6th May 2016: 'Temperature schedule selection for Sequential Monte Carlo samplers' (talk).
Algorithms & Computationally Intensive Inference seminar series, University of Warwick.
Teaching
- 2016–2017, 2017–2018 (Term 2): Mathematical Statistics B (ST219, tutorials).
- 2016–2017, 2017–2018 (Term 1): Mathematical Statistics A (ST218, tutorials).
- 2015–2016 (Term 2): Probability A & B (ST111/ST112, tutorials).
