Program

Week List

	Tue. 01	Wed. 02	Thu. 03	Fri. 04
09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00	Balancing Complexity and Personalization in Sequential Decision Models for Chronic Disease Management 14:00 - 15:00 (1h) Balancing Complexity and Personalization in Sequential Decision Models for Chronic Disease Management Reza Skandari https://masemo.sciencesconf.org/data/program/Skandari.pdf Bayes-Adaptive Impulse Control of Piecewise-Deterministic Markov Processes 15:00 - 15:40 (40min) Bayes-Adaptive Impulse Control of Piecewise-Deterministic Markov Processes Orlane Rossini https://masemo.sciencesconf.org/data/program/630190.pdf Coffee break 15:40 - 16:10 (30min) Coffee break Piecewise Deterministic Markov Processes and Bacterial Growth 16:10 - 16:50 (40min) Piecewise Deterministic Markov Processes and Bacterial Growth Nathalie Krell https://masemo.sciencesconf.org/data/program/625226.pdf Asymptotic comparison of nonparametric jump rate estimators for one-dimensional piecewise-deterministic Markov processes 16:50 - 17:30 (40min) Asymptotic comparison of nonparametric jump rate estimators for one-dimensional piecewise-deterministic Markov processes Romain Azaïs https://masemo.sciencesconf.org/data/program/638624.pdf	Multichain Hidden Markov and Semi-Markov Models: Formalization, Inference, and Applications 9:00 - 9:40 (40min) Multichain Hidden Markov and Semi-Markov Models: Formalization, Inference, and Applications Nathalie Peyrard https://masemo.sciencesconf.org/data/program/629951.pdf Matrix calculus to evaluate the complexity of the forward-backward algorithm for different extensions of Markov models with hidden variables 9:40 - 10:20 (40min) Matrix calculus to evaluate the complexity of the forward-backward algorithm for different extensions of Markov models with hidden variables Alain Franc https://masemo.sciencesconf.org/data/program/636706.pdf Coffee break 10:20 - 10:50 (30min) Coffee break Anomaly Detection based on Markov Data: A Statistical Depth Approach 10:50 - 11:30 (40min) Anomaly Detection based on Markov Data: A Statistical Depth Approach Carlos Fernández https://masemo.sciencesconf.org/data/program/629957.pdf Limit and Ergodic Theorems for Perturbed Semi-Markov-Type Processes 11:30 - 12:10 (40min) Limit and Ergodic Theorems for Perturbed Semi-Markov-Type Processes Dmitrii Silvestrov https://masemo.sciencesconf.org/data/program/629080.pdf Lunch 12:10 - 14:00 (1h50) Lunch Evaluation of Seismic Activity via Poisson Hidden Markov Models 14:00 - 15:00 (1h) Evaluation of Seismic Activity via Poisson Hidden Markov Models Alex Karagrigoriou https://masemo.sciencesconf.org/data/program/Karagrigoriou.pdf Spatio-temporal generation of precipitations using a spatially correlated Bernoulli and hidden Markov model 15:00 - 15:40 (40min) Spatio-temporal generation of precipitations using a spatially correlated Bernoulli and hidden Markov model Caroline Cognot https://masemo.sciencesconf.org/data/program/632509.pdf Coffee break 15:40 - 16:10 (30min) Coffee break Supervised HSMM to study the behavioral trajectories of wildlife in nature from accelerometer data. 16:10 - 16:50 (40min) Supervised HSMM to study the behavioral trajectories of wildlife in nature from accelerometer data. Sandra Plancade https://masemo.sciencesconf.org/data/program/2025_07_01_Resume_accelero_MaSeMo_SandraPlancade.pdf Walking the mammoth - A reanalysis of isotope ratios in a 17000 years old tusk to reconstruct the life trajectory of a woolly mammoth 16:50 - 17:30 (40min) 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 https://masemo.sciencesconf.org/data/program/633419.pdf	Generalized Viterbi algorithm for identifying the multiple most likely paths of hidden states in a HMM and application to detection of homozygosity by descent 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 Discrete-time Markov Switching Hawkes Process 9:40 - 10:20 (40min) Discrete-time Markov Switching Hawkes Process Stéphane Robin https://masemo.sciencesconf.org/data/program/631398.pdf Coffee break 10:20 - 10:50 (30min) Coffee break Review of HSMM R and Python software 10:50 - 11:10 (20min) Review of HSMM R and Python software Nicolas Vergne https://masemo.sciencesconf.org/data/program/641184.pdf Parameter Estimation and State Inference in Hidden Drifting Markov Models 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 Bayesian formulation and implementation for a non-stationary semi-Markov model with covariates 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 Lunch 12:10 - 14:00 (1h50) Lunch Latent Markov Models in Ecology 14:00 - 15:00 (1h) Latent Markov Models in Ecology Sina Mews https://masemo.sciencesconf.org/data/program/Mews.pdf Estimation of failure rates for (hidden) semi-Markov models 15:00 - 15:40 (40min) Estimation of failure rates for (hidden) semi-Markov models Irène Votsi https://masemo.sciencesconf.org/data/program/649874.pdf Coffee break 15:40 - 16:10 (30min) Coffee break Review of estimation algorithms for HMM/HSMM with mixed effects 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 Gaussian Markov random fields for MRF sampling 16:30 - 17:10 (40min) Gaussian Markov random fields for MRF sampling Jean-Baptiste Courbot https://masemo.sciencesconf.org/data/program/632136.pdf Asymptotic properties of the K in a row design 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	Hidden Markov models for longitudinal data: advances to deal with missing data, dropout, and variable selection 9:00 - 10:00 (1h) Hidden Markov models for longitudinal data: advances to deal with missing data, dropout, and variable selection Silvia Pandolfi https://masemo.sciencesconf.org/data/program/Pandolfi.pdf On adaptive filtering of some HMP 10:00 - 10:40 (40min) On adaptive filtering of some HMP Yury Kutoyants https://masemo.sciencesconf.org/data/program/632934.pdf Coffee break 10:40 - 11:10 (30min) Coffee break Non-linear monotone models for general Harris recurrent Markov chains 11:10 - 11:50 (40min) Non-linear monotone models for general Harris recurrent Markov chains Carlos Fernández https://masemo.sciencesconf.org/data/program/629968.pdf Parameter estimation of hidden Markov models: comparison of EM and quasi-Newton methods with a new hybrid algorithm. 11:50 - 12:30 (40min) Parameter estimation of hidden Markov models: comparison of EM and quasi-Newton methods with a new hybrid algorithm. Sidonie Foulon https://masemo.sciencesconf.org/data/program/_634433.pdf

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