Markov, Semi-Markov Models and Associated Fields (from Theory to Application and back)

9:00 - 9:40 (40min)

Generalized Viterbi algorithm for identifying the multiple most likely paths of hidden states in a HMM and application to detection of homozygosity by descent

Matthieu Pluntz

https://masemo.sciencesconf.org/data/program/634098.pdf

9:40 - 10:20 (40min)

Discrete-time Markov Switching Hawkes Process

Stéphane Robin

https://masemo.sciencesconf.org/data/program/631398.pdf

10:20 - 10:50 (30min)

Coffee break

10:50 - 11:10 (20min)

Review of HSMM R and Python software

Nicolas Vergne

https://masemo.sciencesconf.org/data/program/641184.pdf

11:10 - 11:30 (20min)

Parameter Estimation and State Inference in Hidden Drifting Markov Models

Aguemon Tehungue

https://masemo.sciencesconf.org/data/program/641162.pdf

11:30 - 12:10 (40min)

Bayesian formulation and implementation for a non-stationary semi-Markov model with covariates

Sébastien Coube

https://masemo.sciencesconf.org/data/program/638053.pdf

12:10 - 14:00 (1h50)

Lunch

14:00 - 15:00 (1h)

Latent Markov Models in Ecology

Sina Mews

https://masemo.sciencesconf.org/data/program/Mews.pdf

15:00 - 15:40 (40min)

Estimation of failure rates for (hidden) semi-Markov models

Irène Votsi

https://masemo.sciencesconf.org/data/program/649874.pdf

15:40 - 16:10 (30min)

Coffee break

16:10 - 16:30 (20min)

Review of estimation algorithms for HMM/HSMM with mixed effects

Mathieu Valdeyron

https://masemo.sciencesconf.org/data/program/632050.pdf

16:30 - 17:10 (40min)

Gaussian Markov random fields for MRF sampling

Jean-Baptiste Courbot

https://masemo.sciencesconf.org/data/program/632136.pdf

17:10 - 17:50 (40min)

Asymptotic properties of the K in a row design

José Antonio Moler

https://masemo.sciencesconf.org/data/program/632455.pdf

Program