Krzysztof Latuszynski

Cited by

	All	Since 2019
Citations	1032	647
h-index	17	14
i10-index	24	19

140

105

200820092010201120122013201420152016201720182019202020212022202320247 10 18 11 18 35 34 61 45 54 77 85 81 99 123 116 140

Public access

View all

13 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Gareth RobertsProfessor of Statistics, University of WarwickVerified email at warwick.ac.uk
Jeffrey S. RosenthalProfessor of Statistics, University of TorontoVerified email at math.toronto.edu
Peter GreenEmeritus Professor of Statistics, University of Bristol; Distinguished Professor of Statistics, UTSVerified email at bristol.ac.uk
Christian RobertUniversité Paris Dauphine, PSL & University of WarwickVerified email at ceremade.dauphine.fr
Marcelo PereyraHeriot Watt University, School of Mathematical and Computer SciencesVerified email at hw.ac.uk
Flávio Bambirra GonçalvesAssociate Professor of Statistics, Universidade Federal de Minas GeraisVerified email at est.ufmg.br
Blazej MiasojedowUniversity of WarsawVerified email at mimuw.edu.pl
Chris HolmesVerified email at stats.ox.ac.uk
Dootika VatsAssociate Professor, Indian Institute of Technology KanpurVerified email at iitk.ac.in
Anthony LeeSchool of Mathematics, University of BristolVerified email at bristol.ac.uk
Jim GriffinUniversity College LondonVerified email at ucl.ac.uk
Mark FJ SteelProfessor of Statistics, University of WarwickVerified email at stats.warwick.ac.uk
Ioannis KosmidisUniversity of WarwickVerified email at warwick.ac.uk
Omiros PapaspiliopoulosBocconiVerified email at unibocconi.it
Daniel RudolfUniversity of PassauVerified email at uni-passau.de
Lukasz WoznyFull professor, SGH Warsaw School of EconomicsVerified email at sgh.waw.pl
Rafał LatałaUniversity of WarsawVerified email at mimuw.edu.pl
Radu CraiuProfessor of Statistics, University of TorontoVerified email at utstat.toronto.edu
Neal MadrasYork UniversityVerified email at mathstat.yorku.ca
Arnaud DoucetGoogle DeepMindVerified email at google.com

Krzysztof Latuszynski

University of Warwick, Department of Statistics

Verified email at warwick.ac.uk - Homepage

Monte Carlo methods Markov Chain Monte Carlo computational statistics Bayesian statistics stochastic processes


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Bayesian computation: a summary of the current state, and samples backwards and forwards PJ Green, K Łatuszyński, M Pereyra, CP Robert Statistics and Computing 25, 835-862, 2015	239	2015
A framework for adaptive MCMC targeting multimodal distributions E Pompe, C Holmes, K Łatuszyński The Annals of Statistics 48 (5), 2930-2952, 2020	93*	2020
Adaptive Gibbs samplers and related MCMC methods K Latuszynski, GO Roberts, JS Rosenthal The Annals of Applied Probability, 2013, 2013	80*	2013
Variance bounding and geometric ergodicity of Markov chain Monte Carlo kernels for approximate Bayesian computation A Lee, K Latuszynski Biometrika 101 (3), 655--671, 2014	62	2014
Nonasymptotic bounds on the estimation error of MCMC algorithms K Łatuszyński, B Miasojedow, W Niemiro Bernoulli 19 (5A), 2033-2066, 2013	61	2013
In search of lost mixing time: adaptive Markov chain Monte Carlo schemes for Bayesian variable selection with very large p JE Griffin, KG Łatuszyński, MFJ Steel Biometrika 108 (1), 53-69, 2021	50*	2021
Simulating events of unknown probabilities via reverse time martingales K Łatuszyński, I Kosmidis, O Papaspiliopoulos, GO Roberts Random Structures & Algorithms 38 (4), 441-452, 2011	50	2011
Rigorous confidence bounds for MCMC under a geometric drift condition K Łatuszyński, W Niemiro Journal of Complexity 27 (1), 23-38, 2011	36*	2011
A few remarks on “Fixed-width output analysis for Markov chain Monte Carlo” by Jones et al W Bednorz, K Latuszynski Journal of the American Statistical Association 102 (480), 1485-1486, 2007	33	2007
A Regeneration Proof of the Central Limit Theorem for Uniformly Ergodic Markov Chains W Bednorz, K Latuszynski, R Latala Elect. Comm. in Probab 13, 85-98, 2008	30	2008
Stability of Adversarial Markov Chains, with an Application to Adaptive MCMC Algorithms RV Craiu, L Gray, K Latuszynski, N Madras, GO Roberts, JS Rosenthal The Annals of Applied Probability 25 (6), 3592–3623, 2015	28	2015
CLTs and asymptotic variance of time-sampled Markov chains K Łatuszyński, GO Roberts Methodology and Computing in Applied Probability, 1-11, 2011	27	2011
Exact Monte Carlo likelihood-based inference for jump-diffusion processes FB Gonçalves, KG Łatuszyński, GO Roberts Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2023	20*	2023
Perfect simulation using atomic regeneration with application to sequential Monte Carlo A Lee, A Doucet, K Łatuszyński arXiv preprint arXiv:1407.5770, 2014	20	2014
Convergence of hybrid slice sampling via spectral gap K Łatuszyński, D Rudolf arXiv preprint arXiv:1409.2709, 2014	19	2014
Optimal scaling of MCMC beyond Metropolis S Agrawal, D Vats, K Łatuszyński, GO Roberts Advances in Applied Probability 55 (2), 492-509, 2023	17	2023
Continious-time importance sampling: Monte Carlo methods which avoid time-discretisation error P Fearnhead, K Latuszynski, GO Roberts, G Sermaidis arXiv preprint arXiv:1712.06201, 2017	17	2017
Adapting the Gibbs sampler C Chimisov, K Latuszynski, G Roberts arXiv preprint arXiv:1801.09299, 2018	15	2018
Barker’s algorithm for Bayesian inference with intractable likelihoods FB Gonçalves, K Latuszynski, GO Roberts Brazilian Journal of Probability and Statistics, 2017	15	2017
The containment condition and AdapFail algorithms K Łatuszyński, JS Rosenthal Journal of Applied Probability, 2014	15	2014

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors