Следене
Matti Vihola
Matti Vihola
Department of Mathematics and Statistics, University of Jyväskylä
Потвърден имейл адрес: jyu.fi - Начална страница
Заглавие
Позовавания
Позовавания
Година
Robust adaptive Metropolis algorithm with coerced acceptance rate
M Vihola
Statistics and Computing 22 (5), 997-1008, 2012
2692012
Convergence properties of pseudo-marginal Markov chain Monte Carlo algorithms
C Andrieu, M Vihola
The Annals of Applied Probability 25 (2), 1030-1077, 2015
1282015
An adaptive parallel tempering algorithm
B Miasojedow, E Moulines, M Vihola
Journal of Computational and Graphical Statistics 22 (3), 649-664, 2013
962013
Rao-Blackwellised particle filtering in random set multitarget tracking
M Vihola
Aerospace and Electronic Systems, IEEE Transactions on 43 (2), 689-705, 2007
852007
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
83*2018
On the ergodicity of the adaptive Metropolis algorithm on unbounded domains
E Saksman, M Vihola
The Annals of applied probability 20 (6), 2178-2203, 2010
702010
Establishing some order amongst exact approximations of MCMCs
C Andrieu, M Vihola
The Annals of Applied Probability 26 (5), 2661-2696, 2016
612016
Random sets for multitarget tracking and data fusion
M Vihola
Tampere University of Technology, 2004
55*2004
Unbiased estimators and multilevel Monte Carlo
M Vihola
Operations Research 66 (2), 448-462, 2018
502018
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
432015
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
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
30*2020
On the stability and ergodicity of adaptive scaling Metropolis algorithms
M Vihola
Stochastic processes and their applications 121 (12), 2839-2860, 2011
292011
Coupled conditional backward sampling particle filter
A Lee, SS Singh, M Vihola
The Annals of Statistics 48 (5), 3066-3089, 2020
242020
Convergence of Markovian Stochastic Approximation with discontinuous dynamics
G Fort, E Moulines, A Schreck, M Vihola
SIAM Journal on Control and Optimization 54 (2), 866-893, 2016
202016
Quantitative convergence rates for subgeometric Markov chains
C Andrieu, G Fort, M Vihola
Journal of Applied Probability 52 (2), 391-404, 2015
202015
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
192021
On the stability of some controlled Markov chains and its applications to stochastic approximation with Markovian dynamic
C Andrieu, VB Tadić, M Vihola
The Annals of Applied Probability 25 (1), 1-45, 2015
162015
Stochastic order characterization of uniform integrability and tightness
L Leskelä, M Vihola
Statistics & Probability Letters 83 (1), 382-389, 2013
162013
Markovian stochastic approximation with expanding projections
C Andrieu, M Vihola
Bernoulli 20 (2), 545-585, 2014
152014
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Статии 1–20