09:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
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 (40min)
9:40 - 10:20 (40min)
Discrete-time Markov Switching Hawkes Process
Stéphane Robin
›10:20 (30min)
10:20 - 10:50 (30min)
Coffee break
›10:50 (20min)
10:50 - 11:10 (20min)
Review of HSMM R and Python software
Nicolas Vergne
›11:10 (20min)
11:10 - 11:30 (20min)
Parameter Estimation and State Inference in Hidden Drifting Markov Models
Aguemon Tehungue
›11:30 (40min)
11:30 - 12:10 (40min)
Bayesian formulation and implementation for a non-stationary semi-Markov model with covariates
Sébastien Coube
›12:10 (1h50)
12:10 - 14:00 (1h50)
Lunch
›14:00 (1h)
14:00 - 15:00 (1h)
Latent Markov Models in Ecology
Sina Mews
›15:00 (40min)
15:00 - 15:40 (40min)
Estimation of failure rates for (hidden) semi-Markov models
Irène Votsi
›15:40 (30min)
15:40 - 16:10 (30min)
Coffee break
›16:10 (20min)
16:10 - 16:30 (20min)
Review of estimation algorithms for HMM/HSMM with mixed effects
Mathieu Valdeyron
›16:30 (40min)
16:30 - 17:10 (40min)
Gaussian Markov random fields for MRF sampling
Jean-Baptiste Courbot
›17:10 (40min)
17:10 - 17:50 (40min)
Asymptotic properties of the K in a row design
José Antonio Moler
