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ORCIDChristian P. Robert
Person information
- affiliation: University of Warwick, Coventry, UK
- affiliation: Université Paris Dauphine, France
Other persons with a similar name
- Christian R. Bauer
![[0000-0003-2613-419X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-2613-419X")
(aka: Christian Robert Bauer, Christian R. K. D. Bauer) — University of Göttingen, Germany - J. Robert Christian
- Christian R. Huyck (aka: Christian Robert Huyck)
- Christian Robert
- Christian-Yann Robert
- Christian Y. Robert
- Robert Christian Subroto
- Christian Trott (aka: Christian R. Trott, Christian Robert Trott)
- Robert Christian Wagner — University of Leeds, UK
- Robert-Christian Ziebell
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2020 – today
- 2024
[j25]Antoine Luciano, Christian P. Robert, Robin J. Ryder:
Insufficient Gibbs sampling. Stat. Comput. 34(4): 126 (2024)- 2022
- [i4]Charly Andral, Randal Douc, Hugo Marival, Christian P. Robert:
The Importance Markov Chain. CoRR abs/2207.08271 (2022) - 2020
- [j24]Aki Vehtari, Andrew Gelman, Tuomas Sivula, Pasi Jylänki, Dustin Tran, Swupnil Sahai, Paul Blomstedt, John P. Cunningham, David Schiminovich, Christian P. Robert:
Expectation Propagation as a Way of Life: A Framework for Bayesian Inference on Partitioned Data. J. Mach. Learn. Res. 21: 17:1-17:53 (2020) - [j23]Changye Wu, Christian P. Robert:
Coordinate sampler: a non-reversible Gibbs-like MCMC sampler. Stat. Comput. 30(3): 721-730 (2020)
2010 – 2019
- 2019
- [j22]Louis Raynal, Jean-Michel Marin, Pierre Pudlo, Mathieu Ribatet, Christian P. Robert, Arnaud Estoup:
ABC random forests for Bayesian parameter inference. Bioinform. 35(10): 1720-1728 (2019) - 2018
- [j21]Clara Grazian, Christian P. Robert:
Jeffreys priors for mixture estimation: Properties and alternatives. Comput. Stat. Data Anal. 121: 149-163 (2018) - [i3]Changye Wu, Julien Stoehr, Christian P. Robert:
Faster Hamiltonian Monte Carlo by Learning Leapfrog Scale. CoRR abs/1810.04449 (2018) - 2016
- [j20]Pierre Pudlo, Jean-Michel Marin, Arnaud Estoup, Jean-Marie Cornuet, Mathieu Gautier, Christian P. Robert:
Reliable ABC model choice via random forests. Bioinform. 32(6): 859-866 (2016) - 2015
- [j19]Antonietta Mira, Christian P. Robert:
An introduction to the special issue "Joint IMS-ISBA meeting - MCMSki 4". Stat. Comput. 25(1): 1 (2015) - [j18]Matthew T. Moores, Christopher C. Drovandi, Kerrie L. Mengersen, Christian P. Robert:
Pre-processing for approximate Bayesian computation in image analysis. Stat. Comput. 25(1): 23-33 (2015) - [j17]Christian P. Robert:
Introduction to "Adaptive ABC model choice and geometric summary statistics for hidden Gibbs random fields" by J. Stoehr, P. Pudlo, L. Cucala. Stat. Comput. 25(1): 127 (2015) - [j16]Peter J. Green, Krzysztof Latuszynski, Marcelo Pereyra, Christian P. Robert:
Bayesian computation: a summary of the current state, and samples backwards and forwards. Stat. Comput. 25(4): 835-862 (2015) - 2014
- [c5]Christian P. Robert:
Approximate Bayesian Computation: A Survey on Recent Results. MCQMC 2014: 185-205 - 2013
- [j15]Arnaud Doucet, Christian P. Robert:
Introduction to Special Issue on Monte Carlo Methods in Statistics. ACM Trans. Model. Comput. Simul. 23(1): 1:1-1:2 (2013) - 2012
- [j14]Jean-Michel Marin, Pierre Pudlo, Christian P. Robert, Robin J. Ryder:
Approximate Bayesian computational methods. Stat. Comput. 22(6): 1167-1180 (2012) - [i2]Nicolas Chopin, Andrew Gelman, Kerrie L. Mengersen, Christian P. Robert:
In praise of the referee. CoRR abs/1205.4304 (2012) - 2011
- [j13]Christian P. Robert:
James E. Gentle: Computational statistics (Statistics and Computing Series) - Springer-Verlag, New York, April 2009, xxi+727 pages, ISBN 978-0-387-98143-7, DOI 10.1007/978-0-387-98144-4, $ 99.00. Stat. Comput. 21(2): 289-291 (2011) - [c4]Christian P. Robert:
Simulation in statistics. WSC 2011: 108-119 - 2010
- [j12]Alessandra Iacobucci, Jean-Michel Marin, Christian P. Robert:
On variance stabilisation in Population Monte Carlo by double Rao-Blackwellisation. Comput. Stat. Data Anal. 54(3): 698-710 (2010) - [i1]Pierre Jacob, Christian P. Robert, Murray H. Smith:
Using parallel computation to improve Independent Metropolis--Hastings based estimation. CoRR abs/1010.1595 (2010)
2000 – 2009
- 2008
- [j11]Jean-Marie Cornuet, Filipe Santos, Mark A. Beaumont, Christian P. Robert, Jean-Michel Marin, David J. Balding, Thomas Guillemaud, Arnaud Estoup:
Inferring population history with DIY ABC: a user-friendly approach to approximate Bayesian computation. Bioinform. 24(23): 2713-2719 (2008) - [j10]Olivier Cappé, Randal Douc, Arnaud Guillin, Jean-Michel Marin, Christian P. Robert:
Adaptive importance sampling in general mixture classes. Stat. Comput. 18(4): 447-459 (2008) - 2007
- [j9]Clair L. Alston, Kerrie L. Mengersen, Christian P. Robert, J. M. Thompson, P. J. Littlefield, D. Perry, A. J. Ball:
Bayesian mixture models in a longitudinal setting for analysing sheep CAT scan images. Comput. Stat. Data Anal. 51(9): 4282-4296 (2007) - [j8]Wilfrid S. Kendall, Jean-Michel Marin, Christian P. Robert:
Confidence bands for Brownian motion and applications to Monte Carlo simulation. Stat. Comput. 17(1): 1-10 (2007) - 2006
- [j7]Gilles Celeux, Jean-Michel Marin, Christian P. Robert:
Iterated importance sampling in missing data problems. Comput. Stat. Data Anal. 50(12): 3386-3404 (2006) - 2004
- [b1]Christian P. Robert, George Casella:
Monte Carlo Statistical Methods. Springer Texts in Statistics, Springer 2004, ISBN 978-1-4419-1939-7, pp. 1-649 - 2003
- [j6]Anne Philippe, Christian P. Robert:
Perfect simulation of positive Gaussian distributions. Stat. Comput. 13(2): 179-186 (2003) - 2002
- [j5]Arnaud Doucet, Simon J. Godsill, Christian P. Robert:
Marginal maximum a posteriori estimation using Markov chain Monte Carlo. Stat. Comput. 12(1): 77-84 (2002) - 2001
- [j4]Anne Philippe, Christian P. Robert:
Riemann sums for MCMC estimation and convergence monitoring. Stat. Comput. 11(2): 103-115 (2001)
1990 – 1999
- 1999
- [j3]James P. Hobert, Christian P. Robert, D. M. Titterington:
On perfect simulation for some mixtures of distributions. Stat. Comput. 9(4): 287-298 (1999) - [c3]Christian P. Robert, Arnaud Doucet, Simon J. Godsill:
Marginal MAP estimation using Markov chain Monte Carlo. ICASSP 1999: 1753-1756 - 1998
- [j2]Christian P. Robert, D. M. Titterington:
Reparameterization strategies for hidden Markov models and Bayesian approaches to maximum likelihood estimation. Stat. Comput. 8(2): 145-158 (1998) - [c2]Christian P. Robert:
MCMC Specifics for Latent Variable Models. COMPSTAT 1998: 101-112 - [c1]Olivier Cappé, Randal Douc, Eric Moulines, Christian P. Robert:
Bayesian Analysis of Overdispersed Count Data with Application to Teletraffic Monitoring. COMPSTAT 1998: 215-220 - 1997
- [j1]Halima Bensmail, Gilles Celeux, Adrian E. Raftery, Christian P. Robert:
Inference in model-based cluster analysis. Stat. Comput. 7(1): 1-10 (1997)
Coauthor Index
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