Matti Vihola

1.1k total citations
31 papers, 454 citations indexed

About

Matti Vihola is a scholar working on Artificial Intelligence, Statistics and Probability and Mathematical Physics. According to data from OpenAlex, Matti Vihola has authored 31 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 19 papers in Statistics and Probability and 6 papers in Mathematical Physics. Recurrent topics in Matti Vihola's work include Markov Chains and Monte Carlo Methods (16 papers), Bayesian Methods and Mixture Models (13 papers) and Statistical Methods and Inference (6 papers). Matti Vihola is often cited by papers focused on Markov Chains and Monte Carlo Methods (16 papers), Bayesian Methods and Mixture Models (13 papers) and Statistical Methods and Inference (6 papers). Matti Vihola collaborates with scholars based in Finland, France and United Kingdom. Matti Vihola's co-authors include Éric Moulines, Błażej Miasojedow, Christophe Andrieu, Eero Saksman, Heikki Haario, Isambi Sailon Mbalawata, Simo Särkkä, Gersende Fort, Anthony Lee and Janne Savela and has published in prestigious journals such as Scientific Reports, The Annals of Statistics and Ecological Modelling.

In The Last Decade

Matti Vihola

28 papers receiving 437 citations

Peers

Countries citing papers authored by Matti Vihola

Since Specialization

Citations

This map shows the geographic impact of Matti Vihola's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Matti Vihola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matti Vihola more than expected).

Fields of papers citing papers by Matti Vihola

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matti Vihola. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Matti Vihola. The network helps show where Matti Vihola may publish in the future.

Co-authorship network of co-authors of Matti Vihola

This figure shows the co-authorship network connecting the top 25 collaborators of Matti Vihola. A scholar is included among the top collaborators of Matti Vihola based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matti Vihola. Matti Vihola is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Simulating Counterfactuals 2024 ·Journal of Artificial Intelligence Research ·Juha Karvanen, (unknown), Matti Vihola	0
2	Conditional Particle Filters with Bridge Backward Sampling 2023 ·Journal of Computational and Graphical Statistics ·(unknown), Sumeetpal S. Singh, Matti Vihola	3
3	On resampling schemes for particle filters with weakly informative observations 2022 ·The Annals of Statistics ·Nicolás Chopin, Sumeetpal S. Singh, (unknown), Matti Vihola	0
4	bssm: Bayesian Inference of Non-linear and Non-Gaussian State Space Models in R 2021 ·The R Journal ·(unknown), Matti Vihola	4
5	Hierarchical log Gaussian Cox process for regeneration in uneven-aged forests 2020 ·arXiv (Cornell University) ·(unknown), Aila Särkkä, Matti Vihola, Mari Myllymäki	2
6	Prediction of leukocyte counts during paediatric acute lymphoblastic leukaemia maintenance therapy 2019 ·Scientific Reports ·(unknown), Olli Lohi, Matti Vihola	2
7	Importance sampling and delayed acceptance via a Peskun type ordering 2017 ·arXiv (Cornell University) ·(unknown), Matti Vihola	1
8	Uniform ergodicity of the iterated conditional SMC and geometric ergodicity of particle Gibbs samplers 2017 ·Bernoulli ·Christophe Andrieu, Anthony Lee, Matti Vihola	16
9	Conditional convex orders and measurable martingale couplings 2017 ·Bernoulli ·(unknown), Matti Vihola	5
10	Establishing some order amongst exact approximations of MCMCs 2016 ·The Annals of Applied Probability ·Christophe Andrieu, Matti Vihola	13
11	Convergence of Markovian Stochastic Approximation with Discontinuous Dynamics 2016 ·SIAM Journal on Control and Optimization ·Gersende Fort, (unknown), (unknown), Matti Vihola	10
12	Quantitative Convergence Rates for Subgeometric Markov Chains 2015 ·Journal of Applied Probability ·Christophe Andrieu, Gersende Fort, Matti Vihola	8
13	Convergence of Markovian Stochastic Approximation with discontinuous dynamics 2014 ·(unknown), Gersende Fort, Éric Moulines, Matti Vihola	7
14	Quantitative convergence rates for sub-geometric Markov chains 2013 ·Advances in Applied Probability ·Christophe Andrieu, Gersende Fort, Matti Vihola	2
15	Stochastic order characterization of uniform integrability and tightness 2012 ·Statistics & Probability Letters ·(unknown), Matti Vihola	7
16	On the stability and ergodicity of adaptive scaling Metropolis algorithms 2011 ·Stochastic Processes and their Applications ·Matti Vihola	12
17	Grapham: Graphical models with adaptive random walk Metropolis algorithms 2009 ·Computational Statistics & Data Analysis ·Matti Vihola	7
18	Rao-blackwellised particle filtering in random set multitarget tracking 2007 ·IEEE Transactions on Aerospace and Electronic Systems ·Matti Vihola	46
19	Random set particle filter for bearings-only multitarget tracking 2005 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Matti Vihola	3
20	Dissimilarity Measures for Hidden Markov Models and Their Application in Multilingual Speech Recognition 2002 ·Matti Vihola, (unknown), (unknown), (unknown), (unknown)	1

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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