Program

Tuesday, July 1, 2025

Time Event (+)
14:00 - 15:00 Balancing Complexity and Personalization in Sequential Decision Models for Chronic Disease Management - Reza Skandari  
15:00 - 15:40 Bayes-Adaptive Impulse Control of Piecewise-Deterministic Markov Processes - Orlane Rossini  
15:40 - 16:10 Coffee break  
16:10 - 16:50 Piecewise Deterministic Markov Processes and Bacterial Growth - Nathalie Krell  
16:50 - 17:30 Asymptotic comparison of nonparametric jump rate estimators for one-dimensional piecewise-deterministic Markov processes - Romain Azaïs  

Wednesday, July 2, 2025

Time Event (+)
09:00 - 09:40 Multichain Hidden Markov and Semi-Markov Models: Formalization, Inference, and Applications - Nathalie Peyrard  
09:40 - 10:20 Matrix calculus to evaluate the complexity of the forward-backward algorithm for different extensions of Markov models with hidden variables - Alain Franc  
10:20 - 10:50 Coffee break  
10:50 - 11:30 Anomaly Detection based on Markov Data: A Statistical Depth Approach - Carlos Fernández  
11:30 - 12:10 Limit and Ergodic Theorems for Perturbed Semi-Markov-Type Processes - Dmitrii Silvestrov  
12:10 - 14:00 Lunch  
14:00 - 15:00 Evaluation of Seismic Activity via Poisson Hidden Markov Models - Alex Karagrigoriou  
15:00 - 15:40 Spatio-temporal generation of precipitations using a spatially correlated Bernoulli and hidden Markov model - Caroline Cognot  
15:40 - 16:10 Coffee break  
16:10 - 16:50 Supervised HSMM to study the behavioral trajectories of wildlife in nature from accelerometer data. - Sandra Plancade  
16:50 - 17:30 Walking the mammoth - A reanalysis of isotope ratios in a 17000 years old tusk to reconstruct the life trajectory of a woolly mammoth - Hervé Perdry  

Thursday, July 3, 2025

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

Friday, July 4, 2025

Time Event (+)
09:00 - 10:00 Hidden Markov models for longitudinal data: advances to deal with missing data, dropout, and variable selection - Silvia Pandolfi  
10:00 - 10:40 On adaptive filtering of some HMP - Yury Kutoyants  
10:40 - 11:10 Coffee break  
11:10 - 11:50 Non-linear monotone models for general Harris recurrent Markov chains - Carlos Fernández  
11:50 - 12:30 Parameter estimation of hidden Markov models: comparison of EM and quasi-Newton methods with a new hybrid algorithm. - Sidonie Foulon  
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