NEWS
Free Institutional Consultancy Services
New Feature: Compare Your Institution with the Previous Year
Find a Professional: Explore Experts Across 197 Disciplines in 220 Countries!
Find a Professional
Print Your Certificate
New! Young University / Institution Rankings 2025
New! Art & Humanities Rankings 2025
New! Social Sciences and Humanities Rankings 2025
Highly Cited Researchers 2025
AD
Scientific Index 2025
Scientist Rankings
University Rankings
Subject Rankings
Country Rankings
login
Login
person_add
Register
insights
H-Index Rankings
insights
i10 Productivity Rankings
format_list_numbered
Citation Rankings
subject
University Subject Rankings
school
Young Universities
format_list_numbered
Top 100 Scientists
format_quote
Top 100 Institutions
format_quote
Compare & Choose
local_fire_department
Country Reports
person
Find a Professional
Krzysztof Latuszynski
University of Warwick - Coventry / United Kingdom
Natural Sciences / Mathematical Sciences
AD Scientific Index ID: 1255463
Registration, Add Profile,
Premium Membership
Print Your Certificate
Ranking &
Analysis
Job
Experiences (0)
Education
Information (0)
Published Books (0)
Book Chapters (0)
Articles (0)
Presentations (0)
Lessons (0)
Projects (0)
Congresses (0)
Editorship, Referee &
Scientific Board (0 )
Patents /
Designs (0)
Academic Grants
& Awards (0)
Artistic
Activities (0)
Certificate / Course
/ Trainings (0)
Association &
Society Memberships (0)
Contact, Office
& Social Media
person_outline
Krzysztof Latuszynski's MOST POPULAR ARTICLES
1-)
Bayesian computation: a summary of the current state, and samples backwards and forwardsPJ Green, K Łatuszyński, M Pereyra, CP RobertStatistics and Computing 25 (4), 835-862, 20151952015
2-)
A framework for adaptive MCMC targeting multimodal distributionsE Pompe, C Holmes, K ŁatuszyńskiThe Annals of Statistics 48 (5), 2930-2952, 202074*2020
3-)
Adaptive Gibbs samplers and related MCMC methodsK Latuszynski, GO Roberts, JS RosenthalThe Annals of Applied Probability, 2013, 201374*2013
4-)
Variance bounding and geometric ergodicity of Markov chain Monte Carlo kernels for approximate Bayesian computationA Lee, K LatuszynskiBiometrika 101 (3), 655--671, 2014622014
5-)
Nonasymptotic bounds on the estimation error of MCMC algorithmsK Łatuszyński, B Miasojedow, W NiemiroBernoulli 19 (5A), 2033-2066, 2013602013
ARTICLES
Add your articles
We use cookies to personalize our website and offer you a better experience. If you accept cookies, we can offer you special services.
Cookie Policy
Accept