09:00
10:00
11:00
12:00
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›10:00 (40min)
10:00 - 10:40 (40min)
On adaptive filtering of some HMP
Yury Kutoyants
›10:40 (30min)
10:40 - 11:10 (30min)
Coffee break
›11:10 (40min)
11:10 - 11:50 (40min)
Non-linear monotone models for general Harris recurrent Markov chains
Carlos Fernández
›11:50 (40min)
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
