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Number of items: 27.
Journal Article
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)
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Book Item
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
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
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
Working or Discussion Paper
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 Thu Mar 28 18:45:38 2024 GMT.