Koski Timo

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Mats GyllenbergUniversity of HelsinkiVerified email at helsinki.fi
Martin VerlaanProfessor Data Assimilation, Mathematics, Technical University Delft and senior researcher DeltaresVerified email at tudelft.nl
Lars-Erik PerssonProfessor of Mathematics, UiT The Artic University of NorwayVerified email at uit.no
Per ÖdlingProfessor of Telecommunications, Lund UniversityVerified email at eit.lth.se
Per Ola BorjessonLund University, Lund, SwedenVerified email at eit.lth.se
Johan PensarAssociate Professor, Statistics and Data Science, University of OsloVerified email at math.uio.no
Helga WesterlindAssistant professor, Karolinska InstitutetVerified email at ki.se
jean swingsemeritus hoogleraar microbiologieVerified email at ugent.be
Fabiano ThompsonFederal University of Rio de Janeiro (UFRJ)Verified email at biologia.ufrj.br
B AustinUniversity of Stirling or Heriot-Watt University or Fish Diseases Laboratory or University ofVerified email at stir.ac.uk
Peter DawyndtProfessor in Computational Biology, Ghent University, BelgiumVerified email at UGent.be
JIE XIONGUniversity of HelsinkiVerified email at comptel.com
Ulf SandströmKTH Royal Institute Technology; Linköping University; Örebro UniversityVerified email at indek.kth.se
Jukka SirénUniversity of HelsinkiVerified email at helsinki.fi
Ove EdforsProfessor of Radio Systems, Lund University, SwedenVerified email at eit.lth.se
Lars Alfredssonprofessor Karolinska institutetVerified email at ki.se
Ryan RamanujamKarolinska InstitutetVerified email at ki.se
Kjell-Morten MyhrHaukeland University Hospital and University of BergenVerified email at haukeland.no
Ingrid KockumKarolinska InstitutetVerified email at ki.se
Henrik HultKTH, Department of MathematicsVerified email at kth.se

Koski Timo

KTH and University of Helsinki/HIIT

Verified email at kth.se

probability genetics machine learning causal inference


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Bayesian networks: an introduction T Koski, J Noble John Wiley & Sons, 2011	350	2011
Hidden Markov models for bioinformatics T Koski Springer Science & Business Media, 2001	322	2001
A review of Bayesian networks and structure learning TJT Koski, J Noble Mathematica Applicanda 40 (1), 2012	94	2012
Bayesian model learning based on a parallel MCMC strategy J Corander, M Gyllenberg, T Koski Statistics and computing 16 (4), 355-362, 2006	59	2006
Non-uniqueness in probabilistic numerical identification of bacteria M Gyllenberg, T Koski, E Reilink, M Verlaan Journal of Applied Probability 31 (2), 542-548, 1994	58	1994
Parallell interacting MCMC for learning of topologies of graphical models J Corander, M Ekdahl, T Koski Data mining and knowledge discovery 17 (3), 431-456, 2008	57	2008
Classification of binary vectors by stochastic complexity M Gyllenberg, T Koski, M Verlaan Journal of Multivariate Analysis 63 (1), 47-72, 1997	52	1997
Random partition models and exchangeability for Bayesian identification of population structure J Corander, M Gyllenberg, T Koski Bulletin of Mathematical Biology 69 (3), 797-815, 2007	46	2007
Population models with environmental stochasticity M Gyllenberg, G Högnäs, T Koski Journal of Mathematical Biology 32 (2), 93-108, 1994	38	1994
A fragment library based on Gaussian mixtures predicting favorable molecular interactions VV Rantanen, KA Denessiouk, M Gyllenberg, T Koski, MS Johnson Journal of molecular biology 313 (1), 197-214, 2001	34	2001
Asymptotic statistical inference for a stochastic heat flow problem T Koski, W Loges Statistics & probability letters 3 (4), 185-189, 1985	31	1985
Some properties of generalized exponential entropies with applications to data compression T Koski, LE Persson Information sciences 62 (1-2), 103-132, 1992	29	1992
Stratified graphical models-context-specific independence in graphical models J Nyman, Henrik and Pensar, Johan and Koski, Timo and Corander Bayesian Analysis 9 (4), 883-908, 2014	27	2014
Combined linear-Viterbi equalizers-a comparative study and a minimax design N Sundstrom, O Edfors, P Odling, H Eriksson, T Koski, PO Borjesson Proceedings of IEEE Vehicular Technology Conference (VTC), 1263-1267, 1994	26	1994
Identity-by-descent mapping in a Scandinavian multiple sclerosis cohort} T Westerlind, Helga and Imrell, Kerstin and Ramanujam, Ryan and Myhr, Kjell ... European Journal of Human Genetics 23 (5), 688-692, 2015	24	2015
Context-specific independence in graphical log-linear models H Nyman, J Pensar, T Koski, J Corander Computational Statistics 31 (4), 1493-1512, 2016	23	2016
Bayesian unsupervised classification framework based on stochastic partitions of data and a parallel search strategy J Corander, M Gyllenberg, T Koski Advances in Data Analysis and Classification 3 (1), 3-24, 2009	22	2009
Classification of Enterobacteriaceae by minimization of stochastic complexity HG Gyllenberg, M Gyllenberg, T Koski, T Lund, J Schindler, M Verlaan Microbiology 143 (3), 721-732, 1997	21	1997
Materials informatics for dark matter detection} AV Geilhufe, R Matthias and Olsthoorn, Bart and Ferella, Alfredo D and Koski ... Physica status solidi (RRL)--Rapid Research Letters 12 (11), 1800293, 2018	20	2018
Sparse Markov chains for sequence data V Jääskinen, J Xiong, J Corander, T Koski Scandinavian Journal of Statistics 41 (3), 639-655, 2014	20	2014

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