Venue: Seminar Room 5 (D313), 3rd floor, The Institute of Statistical Mathematics (access: English/Japanese)
Hideitsu Hino :
Localizing and Determining the Number of Dipoles from EEG Signals by Particle Filter
Takafumi Kajihara :
Parameter and model inference with insufficient prior knowledge under intractable likelihood
12:10 - 13:40 Lunch
Arnaud Doucet :
Piecewise deterministic Markov chain Monte Carlo methods
14:40 - 15:00 Coffee Break
Daichi Mochihashi:
The Infinite Tree Hidden Markov Model
Ikuko Funatogawa :
Longitudinal data analysis in medical and health data science
Peter Jan van Leeuwen
Transportation particle filters
Genta Ueno
Mark Girolami (Chair: Kenji Fukumizu)
Probabilistic Numerical Computation: A New Concept?
Kenji Fukumizu
Variational Learning on Aggregate Outputs with Gaussian Processes
Kenji Fukumizu (ISM), fukumizu (at-mark) ism.ac.jp
Hideitsu Hino (ISM), hino (at-mark) ism.ac.jp