Program
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 |
|
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 |
|
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 |
|
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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