The Library
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Number of items: 28.
2024
Andral, Charly, Douc, Randal, Marival, Hugo and Robert, Christian P. (2024) The importance Markov chain. Stochastic Processes and their Applications, 171 . 104316. doi:10.1016/j.spa.2024.104316 ISSN 0304-4149.
McKimm, H., Wang, Andi Q., Pollock, M., Robert, Christian P. and Roberts, Gareth O. (2024) Sampling using adaptive regenerative processes. Bernoulli . ISSN 1350-7265. (In Press)
2022
Elvira, Victor, Martino, Luca and Robert, Christian P. (2022) Rethinking the effective sample size. International Statistical Review, 90 (3). pp. 525-550. doi:10.1111/insr.12500 ISSN 1751-5823.
Robert, Christian P. (2022) 50 shades of Bayesian testing of hypotheses. In: Rao, S. R. Srinivasa and Rao, C. R. and Young, G. Alistair, (eds.) Handbook of Statistics. Advancements in Bayesian Methods and Implementation, 47 . Elsevier BV, pp. 103-120. ISBN 9780323952682
2021
ClartΓ©, GrΓ©goire, Robert, Christian P., Ryder, Robin and Stoehr, Julien (2021) Component-wise approximate Bayesian computation via Gibbs-like step. Biometrika, 108 (3). pp. 591-607. asaa090. doi:10.1093/biomet/asaa090 ISSN 0006-3444.
2020
Drovandi, Christopher C., Grazian, Clara, Mengersen, Kerrie and Robert, Christian P. (2020) Approximating the likelihood in approximate Bayesian computation. In: Sisson, Scott A. and Fan, Yanan and Beaumont, Mark, (eds.) Handbook of Approximate Bayesian Computation. Handbooks of Modern Statistical Methods . Boca Raton, Florida: CRC Press. ISBN 9781439881507
Frazier, David T., Robert, Christian P. and Rousseau, Judith (2020) Model misspecification in approximate Bayesian computation : consequences and diagnostics. Journal of the Royal Statistical Society Series B: Statistical Methodology, 82 (2). pp. 421-444. doi:10.1111/rssb.12356 ISSN 1369-7412.
2019
Bernton, Espen, Jacob, Pierre E., Gerber, Mathieu and Robert, Christian P. (2019) On parameter estimation with the Wasserstein distance. Information and Inference, 8 (4). pp. 657-676. doi:10.1093/imaiai/iaz003 ISSN 2049-8764.
Banterle, Marco, Grazian, Clara, Lee, Anthony and Robert, Christian P. (2019) Accelerating Metropolis - Hastings algorithms by delayed acceptance. Foundations of Data Science, 1 (2). pp. 103-128. doi:10.3934/fods.2019005 ISSN 2639-8001.
Raynal, Louis, Marin, Jean-Michel, Pudlo, Pierre, Ribatet, Mathieu, Robert, Christian P. and Estoup, Arnaud (2019) ABC random forests for Bayesian parameter inference. Bioinformatics, 35 (10). pp. 1720-1728. doi:10.1093/bioinformatics/bty867 ISSN 1367-4803.
Bernton, Espen, Jacob, Pierre, Gerber, Mathieu and Robert, Christian P. (2019) Approximate Bayesian computation with the Wasserstein distance. Journal of the Royal Statistical Society Series B: Statistical Methodology, 81 (2). pp. 235-269. doi:10.1111/rssb.12312 ISSN 1369-7412.
McShane, Blakeley, Gal, David, Gelman, Andrew, Robert, Christian P. and Tackett, Jennifer (2019) Abandon statistical significance. The American Statistician, 73 (1). pp. 235-245. doi:10.1080/00031305.2018.1527253
Martin, Gael M., McCabe, Brendan, Frazier, David T., Maneesoonthorn, Worapree and Robert, Christian P. (2019) Auxiliary likelihood-based approximate Bayesian computation in state space models. Journal of Computational and Graphical Statistics, 28 (3). pp. 508-522. doi:10.1080/10618600.2018.1552154 ISSN 1061-8600.
2018
Frazier, David T., Martin, Gael M., Robert, Christian P. and Rousseau, Judith (2018) Asymptotic properties of approximate Bayesian computation. Biometrika, 105 (3). pp. 593-607. doi:10.1093/biomet/asy027 ISSN 0006-3444.
Robert, Christian P., Elvira, Victor, Tawn, Nicholas and Wu, Changye (2018) Accelerating MCMC algorithms. Wiley Interdisciplinary Reviews: Computational Statistics, 10 (5). e1435. doi:10.1002/wics.1435 ISSN 0006-3444.
Robert, Christian P. (2018) Beyond the Bayes factor, a new Bayesian paradigm for handling hypothesis testing. In: Chattopadhyay, Asis Kumar and Chattopadhyay, Gaurangadeb, (eds.) Statistics and its Applications. PJICAS 2016. Springer Proceedings in Mathematics & Statistics, 244 . Singapore: Springer Nature Singapore Pte Ltd., pp. 133-137. ISBN 978981131223612
Marin, Jean-Michel, Pudlo, Pierre, Estoup, Arnaud and Robert, Christian P. (2018) Likelihood-free model choice. In: Sisson, Scott A. and Fan, Yanan and Beaumont, Mark, (eds.) Handbook of Approximate Bayesian Computation. Handbooks of Modern Statistical Methods . Boca Raton, Florida: Chapman and Hall/CRC , pp. 1-21. ISBN 9781439881507
Kamary, Kaniav, Lee, Jeong Eun and Robert, Christian P. (2018) Weakly informative reparameterizations for location-scale mixtures. Journal of Computational and Graphical Statistics, 27 (4). pp. 836-848. doi:10.1080/10618600.2018.1438900 ISSN 1537-2715.
Grazian, Clare and Robert, Christian P. (2018) Jeffreys priors for mixture estimation : properties and alternatives. Computational Statistics & Data Analysis, 121 . pp. 149-163. doi:10.1016/j.csda.2017.12.005 ISSN 0167-9473.
Kamary, Kaniav, Lee, Jeong Eun and Robert, Christian P. (2018) Weakly informative reparameterisations for location-scale mixtures. Journal of Computational and Graphical Statistics, 27 (4). pp. 836-848. doi:10.1080/10618600.2018.1438900 ISSN 1061-8600.
2016
Pudlo, Pierre, Marin, Jean-Michel, Estoup, Arnaud, Cornuet, Jean-Marie, Gautier, Mathieu and Robert, Christian P. (2016) Reliable ABC model choice via random forests. Bioinformatics, 32 (6). pp. 859-866. doi:10.1093/bioinformatics/btv684 ISSN 1367-4803.
2015
Green, Peter J., ΕatuszyΕski, Krzysztof, Pereyra, Marcelo and Robert, Christian P. (2015) Bayesian computation : a summary of the current state, and samples backwards and forwards. Statistics and Computing, 25 (4). pp. 835-862. doi:10.1007/s11222-015-9574-5 ISSN 0960-3174.
Moores, Matthew T., Drovandi, Christopher C., Mengersen, Kerrie and Robert, Christian P. (2015) Pre-processing for approximate Bayesian computation in image analysis. Statistics and Computing, 25 (1). pp. 23-33. doi:10.1007/s11222-014-9525-6 ISSN 0960-3174.
2014
Robert, Christian P. (2014) On the Jeffreys-Lindley paradox. Philosophy of Science, 81 (2). pp. 216-232. doi:10.1086/675729 ISSN 0031-8248.
Marin, Jean-Michel, Pillai, Natesh S., Robert, Christian P. and Rousseau, Judith (2014) Relevant statistics for Bayesian model choice. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 76 (5). pp. 833-859. doi:10.1111/rssb.12056 ISSN 1369-7412.
2013
Mengersen, K. L., Pudlo, P. and Robert, Christian P. (2013) Bayesian computation via empirical likelihood. Proceedings of the National Academy of Sciences of the United States of America, Volume 110 (Number 4). pp. 1321-1326. doi:10.1073/pnas.1208827110 ISSN 0027-8424.
2007
Kendall, W. S., Marin, Jean-Michel and Robert, Christian P. (2007) Confidence bands for Brownian motion and applications to Monte Carlo simulation. Statistics and Computing, Vol.17 (No.1). pp. 1-10. doi:10.1007/s11222-006-9001-z ISSN 0960-3174.
2005
Kendall, W. S., Marin, Jean-Michel and Robert, Christian P. (2005) Brownian confidence bands on Monte Carlo output. Working Paper. Coventry: University of Warwick. Centre for Research in Statistical Methodology. Working papers, Vol.2005 (No.2).
This list was generated on Wed Apr 24 02:43:59 2024 BST.