T. Koski

发表

A Review of Bayesian Networks and Structure Learning

T. Koski, J. Noble, 2012 .

Testing for Causality in Continuous Time Bayesian Network Models of High-Frequency Data

T. Koski, J. Hallgren, 2016, 1601.06651.

Non-uniqueness in probabilistic numerical identification of bacteria

M. Verlaan, T. Koski, M. Gyllenberg, 1994, Journal of Applied Probability.

Classification of Binary Vectors by Stochastic Complexity

M. Verlaan, T. Koski, M. Gyllenberg, 1997 .

Sparse Markov Chains for Sequence Data

Jukka Corander, Timo Koski, Jie Xiong, 2014 .

Resource optimization in embedded systems based on data mining

T. Koski, Håkan Gustavsson, Akoo Hematbolland, 2009 .

Learning of Markov Chains

T. Koski, 2001 .

Optimal Viterbi Bayesian predictive classification for data from finite alphabets

J. Corander, T. Koski, Jie Xiong, 2013 .

Bayesian predictiveness, exchangeability and sufficientness in bacterial taxonomy.

T. Koski, M. Gyllenberg, 2002, Mathematical biosciences.

Random Partition Models and Exchangeability for Bayesian Identification of Population Structure

J. Corander, T. Koski, M. Gyllenberg, 2007, Bulletin of mathematical biology.

Probabilistic Models for Bacterial Taxonomy

T. Koski, M. Gyllenberg, Timo Koski, 2000 .

Hidden Markov Models for Bioinformatics

T. Koski, 2001 .

Learning Genetic Population Structures Using Minimization of

J. Corander, T. Koski, M. Gyllenberg, 2010 .

Numerical taxonomy and the principle of maximum entropy

Mats Gyllenberg, Timo Koski, T. Koski, 1996 .

Enterobacteriaceae Taxonomy Approached by Minimization of Stochastic Complexity

Mats Gyllenberg, Timo Koski, Helge Gyllenberg, 1999 .

New methods for the analysis of binarized BIOLOG GN data of Vibrio species: minimization of stochastic complexity and cumulative classification.

Mats Gyllenberg, Brian Austin, Timo Koski, 2002, Systematic and applied microbiology.

Bayesian Network Classification of Binarized DNA Fingerprinting Patterns

T. Koski, M. Gyllenberg, J. Carlsson, 2003 .

Stratified Graphical Models - Context-Specific Independence in Graphical Models

Jukka Corander, Timo Koski, Johan Pensar, 2013, 1309.6415.

A fragment library based on Gaussian mixtures predicting favorable molecular interactions.

M Gyllenberg, T Koski, T. Koski, 2001, Journal of molecular biology.

Decomposition Sampling applied to Parallelization of Metropolis-Hastings

Timo Koski, T. Koski, J. Hallgren, 2014, 1402.2828.

Exact simulation of coupled Wright–Fisher diffusions

T. Koski, H. Hult, Celia Garc'ia-Pareja, 2019, Advances in Applied Probability.

Asymptotics of Learning

T. Koski, 2001 .

HMM for DNA Sequences

Timo Koski, T. Koski, 2001 .

Applying the EM-algorithm to Classification of Bacteria

T. Koski, M. Gyllenberg, T. Lund, 2000 .

Applying the Em-algorithm to Classiication of Bacteria Mats Gyllenberg Applying the Em-algorithm to Classiication of Bacteria

T. Koski, M. Gyllenberg, T. Lund, 2007 .

Identity-by-descent mapping in a Scandinavian multiple sclerosis cohort

T. Koski, A. Hamsten, H. Harbo, 2014, European Journal of Human Genetics.

Nonparametric likelihood-free inference with Jensen-Shannon divergence for simulator-based models with categorical output

J. Corander, T. Koski, Ulpu Remes, 2022, ArXiv.

Likelihood-free Model Choice for Simulator-based Models with the Jensen-Shannon Divergence

J. Corander, T. Koski, Ulpu Remes, 2022, ArXiv.

Wiley Series in Probability and Statistics

John M. Noble, Timo Koski, T. Koski, 2009 .

A Prior Distribution over Directed Acyclic Graphs for Sparse Bayesian Networks

T. Koski, J. Noble, F. L. Rios, 2015, 1504.06701.

Testing for Causality in Continuous Time Bayesian Network Models of High-Frequency Data

T. Koski, J. Hallgren, 2016, 1601.06651.

Simultaneous Predictive Gaussian Classifiers

J. Corander, T. Koski, Yaqiong Cui, 2016, Journal of Classification.

PR ] 3 J un 2 01 9 Networks of Loci by a Multilocus Wright-Fisher Model with Selection and Mutation , and a Conjecture by Motoo

E. Aurell, Magnus Ekeberg, T. Koski, 2019 .

Null recurrence in a stochastic Ricker model

T. Koski, G. Högnäs, M. Gyllenberg, 1994 .

Bayesian Block-Diagonal Predictive Classifier for Gaussian Data

Tatjana Pavlenko, Jukka Corander, Timo Koski, 2012, SMPS.

Mixture Models and Profiles

Timo Koski, T. Koski, 2001 .

Simultaneous Predictive Gaussian Classifiers

Jukka Corander, Timo Koski, Jukka Sirén, 2016, J. Classif..

Have I seen you before? Principles of Bayesian predictive classification revisited

Jukka Corander, Timo Koski, Jukka Sirén, 2013, Stat. Comput..

Have I seen you before? Principles of Bayesian predictive classification revisited

J. Corander, T. Koski, Yaqiong Cui, 2011, Statistics and Computing.

A dual process for the coupled Wright–Fisher diffusion

T. Koski, H. Hult, Martina Favero, 2019, Journal of Mathematical Biology.

Networks of Loci by a Multilocus Wright-Fisher Model with Selection and Mutation, and a Conjecture by Motoo Kimura

E. Aurell, T. Koski, M. Ekeberg, 2019 .

On a Multilocus Wright-Fisher Model with Mutation and a Svirezhev-Shahshahani Gradient-like Selection Dynamics

E. Aurell, T. Koski, M. Ekeberg, 2019, 1906.00716.

Mats Gyllenberg, Timo Koski, Mark S. Johnson, 2002, Bioinform..

Probabilistic Models and Learning

Timo Koski, T. Koski, 2001 .

Population models with environmental stochasticity

Mats Gyllenberg, Timo Koski, Göran Högnäs, 1994 .

Markovian Models for DNA sequences

Timo Koski, T. Koski, 2001 .

Inductive Inference and Partition Exchangeability in Classification

Jukka Corander, Timo Koski, Yaqiong Cui, 2011, Algorithmic Probability and Friends.

Derin’s Algorithm

Timo Koski, T. Koski, 2001 .

a Priori Contact Preferences in Molecular Recognition

Mats Gyllenberg, Timo Koski, Mark S. Johnson, 2005, J. Bioinform. Comput. Biol..

Bayesian unsupervised classification framework based on stochastic partitions of data and a parallel search strategy

Mats Gyllenberg, Jukka Corander, Timo Koski, 2009, Adv. Data Anal. Classif..

Bayesian model learning based on a parallel MCMC strategy

Mats Gyllenberg, Jukka Corander, Timo Koski, 2006, Stat. Comput..

Application of sliding-window discretization and minimization of stochastic complexity for the analysis of fAFLP genotyping fingerprint patterns of Vibrionaceae.

Mats Gyllenberg, Brian Austin, Timo Koski, 2005, International journal of systematic and evolutionary microbiology.

Sliding window discretization: A new method for multiple band matching of bacterial genotyping fingerprints

Mats Gyllenberg, Brian Austin, Timo Koski, 2004, Bulletin of mathematical biology.

BinClass: A Software Package for Classifying Binary Vectors User''s Guide

Mats Gyllenberg, Timo Koski, Tatu Lund, 2001 .

Sense in microbial taxonomy: Minimization of stochastic complexity as an objective taxonomic tool

T. Koski, M. Gyllenberg, H. Gyllenberg, 2001 .

An Assessment of Cumulative Classification

Mats Gyllenberg, Timo Koski, Helge Gyllenberg, 1999 .

Bayesian predictive identification and cumulative classification of bacteria

M Gyllenberg, H G Gyllenberg, T Koski, 1999, Bulletin of mathematical biology.

Stochastic complexity as a taxonomic tool.

M Gyllenberg, H G Gyllenberg, T Koski, 1998, Computer methods and programs in biomedicine.

Performance Evaluation of Artificial Neural Networks in the Foreign Exchange Market

Timo Koski, Harry Hedman, Nils Rosendahl, 2012 .

Forecasting Ranking in Harness Racing Using Probabilities Induced by Expected Positions

Timo Koski, Fredrik Armerin, Jonas Hallgren, 2018, Appl. Artif. Intell..

Labeled directed acyclic graphs: a generalization of context-specific independence in directed graphical models

Jukka Corander, Timo Koski, Johan Pensar, 2013, Data Mining and Knowledge Discovery.

Alignment and Scoring

Timo Koski, T. Koski, 2001 .

Context-specific independence in graphical log-linear models

Jukka Corander, Timo Koski, Johan Pensar, 2014, Comput. Stat..

Bounds for the Loss in Probability of Correct Classification Under Model Based Approximation

Timo Koski, Magnus Ekdahl, T. Koski, 2006, J. Mach. Learn. Res..

Minimizing stochastic complexity using local search and GLA with applications to classification of bacteria.

M Gyllenberg, J Kivijärvi, O Nevalainen, 2000, Bio Systems.

Bayesian Networks: An Introduction

John M. Noble, Timo Koski, T. Koski, 2009 .

On the Existence of Suitable Models for Additive Interaction with Continuous Exposures

Daniel Berglund, Helga Westerlind, Timo Koski, 2019 .

Materials Informatics for Dark Matter Detection

T. Koski, F. Kahlhoefer, R. Geilhufe, 2018, physica status solidi (RRL) - Rapid Research Letters.

Bayesian Unsupervised Learning of DNA Regulatory Binding Regions

Jukka Corander, Timo Koski, Magnus Ekdahl, 2009, Adv. Artif. Intell..

Towards field-adjusted production: Estimating research productivity from a zero-truncated distribution

Timo Koski, Ulf Sandström, Erik Sandström, 2016, J. Informetrics.

A Bayesian molecular interaction library

Mats Gyllenberg, Timo Koski, Mark S. Johnson, 2003, J. Comput. Aided Mol. Des..

Left to Right HMM for Sequences

Timo Koski, T. Koski, 2001 .

Labeled directed acyclic graphs: a generalization of context-specific independence in directed graphical models

Henrik J. Nyman, J. Corander, T. Koski, 2014, Data Mining and Knowledge Discovery.

Lectures on Statistical Learning Theory for Chow-Liu Trees

Timo Koski, T. Koski, 2010 .

Clustering by Adaptive Local Search with Multiple Search Operators

Mats Gyllenberg, Timo Koski, T. Lund, 2000, Pattern Analysis & Applications.

On the Distribution of Matrix Quadratic Forms

Timo Koski, Martin Singull, T. Koski, 2012 .

Factor Graphs and the Sum Product Algorithm

T. Koski, J. Noble, 2009 .

The Minimal Hoppe-Beta Prior Distribution for Directed Acyclic Graphs and Structure Learning

John M. Noble, Timo Koski, Felix L. Rios, 2016 .

Learning Genetic Population Structures Using Minimization of Stochastic Complexity

Mats Gyllenberg, Jukka Corander, Timo Koski, 2010, Entropy.