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Bayesian Networks: An Introduction

1. Aufl., 2009

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A dual process for the coupled Wright–Fisher diffusion

Journal of mathematical biology, 2021-01, Vol.82 (1-2), p.6-6, Article 6

2021

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

Data mining and knowledge discovery, 2015-03, Vol.29 (2), p.503-533

2015

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Forecasting Ranking in Harness Racing Using Probabilities Induced by Expected Positions

Applied artificial intelligence, 2019-01, Vol.33 (2), p.171-189

2019

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

Journal of informetrics, 2016-11, Vol.10 (4), p.1143-1152

2016

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Parallell interacting MCMC for learning of topologies of graphical models

Data mining and knowledge discovery, 2008-12, Vol.17 (3), p.431-456

2008

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A Review of Bayesian Networks and Structure Learning

Matematyka Stosowana, 2012-08, Vol.40 (1), p.53

2012

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On the Jensen-Shannon divergence and the variation distance for categorical probability distributions

Kybernetika, 2021-01, p.879-907

2021

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Exact simulation of coupled Wright–Fisher diffusions

Advances in applied probability, 2021-12, Vol.53 (4), p.923-950

2021

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Learning Genetic Population Structures Using Minimization of Stochastic Complexity

Entropy (Basel, Switzerland), 2010-05, Vol.12 (5), p.1102-1124

2010

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Materials Informatics for Dark Matter Detection

Physica status solidi. PSS-RRL. Rapid research letters, 2018-11, Vol.12 (11), p.n/a

2018

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A tribute to Mats Gyllenberg, on the occasion of his 60th birthday

Journal of mathematical biology, 2016-03, Vol.72 (4), p.793-795

2016

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Exit times for ARMA processes

Advances in applied probability, 2018-12, Vol.50 (A), p.191-195

2018

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Context-specific independence in graphical log-linear models

Computational statistics, 2016-12, Vol.31 (4), p.1493-1512

2016

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Stratified Graphical Models - Context-Specific Independence in Graphical Models

Bayesian analysis, 2014, Vol.9 (4), p.883

2014

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Sparse Markov Chains for Sequence Data

Scandinavian journal of statistics, 2014-09, Vol.41 (3), p.639-655

2014

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Bounds for the loss in probability of correct classification under model based approximation

Journal of machine learning research, 2006-11, Vol.7, p.2449

2006

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Contributions to Reciprocal Processes

Saize, Stefane Draiva

2023

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Bayesian model learning based on a parallel MCMC strategy

Statistics and computing, 2006-12, Vol.16 (4), p.355-362

2006

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On the Distribution of Matrix Quadratic Forms

Communications in statistics. Theory and methods, 2012-01, Vol.41 (18), p.3403-3415

2012

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Optimal Viterbi Bayesian predictive classification for data from finite alphabets

Journal of statistical planning and inference, 2013-02, Vol.143 (2), p.261-275

2013

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Sparse Markov Chains for Sequence Data. Scandinavian Journal of Statistics

Scandinavian journal of statistics, 2014, Vol.41 (3), p.639

2014

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Simultaneous Predictive Gaussian Classifiers

Journal of classification, 2016-04, Vol.33 (1), p.73-102

2016

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

European journal of human genetics : EJHG, 2015-05, Vol.23 (5), p.688-692

2015

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A fragment library based on gaussian mixtures predicting favorable molecular interactions 1 aEdited by G. von Heijne

Journal of molecular biology, 2001-10, Vol.313 (1), p.197-214

2001

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Bayesian Networks: An Introduction

A dual process for the coupled Wright–Fisher diffusion

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

Forecasting Ranking in Harness Racing Using Probabilities Induced by Expected Positions

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

Parallell interacting MCMC for learning of topologies of graphical models

A Review of Bayesian Networks and Structure Learning

On the Jensen-Shannon divergence and the variation distance for categorical probability distributions

Exact simulation of coupled Wright–Fisher diffusions

Learning Genetic Population Structures Using Minimization of Stochastic Complexity

Materials Informatics for Dark Matter Detection

A tribute to Mats Gyllenberg, on the occasion of his 60th birthday

Exit times for ARMA processes

Context-specific independence in graphical log-linear models

Stratified Graphical Models - Context-Specific Independence in Graphical Models

Sparse Markov Chains for Sequence Data

Bounds for the loss in probability of correct classification under model based approximation

Contributions to Reciprocal Processes

Bayesian model learning based on a parallel MCMC strategy

On the Distribution of Matrix Quadratic Forms

Optimal Viterbi Bayesian predictive classification for data from finite alphabets

Sparse Markov Chains for Sequence Data. Scandinavian Journal of Statistics

Simultaneous Predictive Gaussian Classifiers

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

A fragment library based on gaussian mixtures predicting favorable molecular interactions 1 aEdited by G. von Heijne

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