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Matti Vihola
Matti Vihola
Department of Mathematics and Statistics, University of Jyväskylä
Подтвержден адрес электронной почты в домене jyu.fi - Главная страница
Название
Процитировано
Процитировано
Год
Robust adaptive Metropolis algorithm with coerced acceptance rate
M Vihola
Statistics and computing 22, 997-1008, 2012
3272012
Convergence properties of pseudo-marginal Markov chain Monte Carlo algorithms
C Andrieu, M Vihola
Annals of Applied Probability 25 (2), 1030-1077, 2015
1442015
An adaptive parallel tempering algorithm
B Miasojedow, E Moulines, M Vihola
Journal of Computational and Graphical Statistics 22 (3), 649-664, 2013
1162013
Uniform ergodicity of the iterated conditional SMC and geometric ergodicity of particle Gibbs samplers
C Andrieu, A Lee, M Vihola
Bernoulli 24 (2), 842-872, 2018
1022018
Rao-Blackwellised particle filtering in random set multitarget tracking
M Vihola
Aerospace and Electronic Systems, IEEE Transactions on 43 (2), 689-705, 2007
932007
Unbiased estimators and multilevel Monte Carlo
M Vihola
Operations Research 66 (2), 448-462, 2018
792018
On the ergodicity of the adaptive Metropolis algorithm on unbounded domains
E Saksman, M Vihola
Annals of Applied Probability 20 (6), 2178-2203, 2010
762010
Establishing some order amongst exact approximations of MCMCs
C Andrieu, M Vihola
Annals of Applied Probability 26 (5), 2661-2696, 2016
692016
Random sets for multitarget tracking and data fusion
M Vihola
Tampere University of Technology, 2004
55*2004
Adaptive Metropolis algorithm using variational Bayesian adaptive Kalman filter
IS Mbalawata, S Särkkä, M Vihola, H Haario
Computational Statistics & Data Analysis 83, 101-115, 2015
522015
Importance sampling type estimators based on approximate marginal Markov chain Monte Carlo
M Vihola, J Helske, J Franks
Scandinavian Journal of Statistics 47 (4), 1339-1376, 2020
41*2020
Coupled conditional backward sampling particle filter
A Lee, SS Singh, M Vihola
The Annals of Statistics 48 (5), 3066-3089, 2020
362020
Two dissimilarity measures for HMMs and their application in phoneme model clustering
M Vihola, M Harju, P Salmela, J Suontausta, J Savela
2002 IEEE International Conference on Acoustics, Speech, and Signal …, 2002
352002
Unbiased inference for discretely observed hidden Markov model diffusions
NK Chada, J Franks, A Jasra, KJ Law, M Vihola
SIAM/ASA Journal on Uncertainty Quantification 9 (2), 763-787, 2021
332021
On the stability and ergodicity of adaptive scaling Metropolis algorithms
M Vihola
Stochastic processes and their applications 121 (12), 2839-2860, 2011
322011
Quantitative convergence rates for subgeometric Markov chains
C Andrieu, G Fort, M Vihola
Journal of Applied Probability 52 (2), 391-404, 2015
302015
Convergence of Markovian Stochastic Approximation with discontinuous dynamics
G Fort, É Moulines, A Schreck, M Vihola
SIAM Journal on Control and Optimization 54 (2), 866-893, 2016
272016
On the stability of some controlled Markov chains and its applications to stochastic approximation with Markovian dynamic
C Andrieu, VB Tadić, M Vihola
Annals of Applied Probability 25 (1), 1-45, 2015
212015
Markovian stochastic approximation with expanding projections
C Andrieu, M Vihola
Bernoulli 20 (2), 545-585, 2014
212014
Stochastic order characterization of uniform integrability and tightness
L Leskelä, M Vihola
Statistics & Probability Letters 83 (1), 382-389, 2013
182013
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Статьи 1–20