Bayes in Grenoble: Nicolas Chopin
on the January 23, 2020
January, 23 at 2 pm
Nicolas Chopin from ENSAE Paris will talk about "Sequential Monte-Carlo". The event will take place on January, 23 at 2:00 pm at GIPSA lab.
Bayes in Grenoble is a new reading group on Bayesian statistical methods. The purpose of this group is to gather the Grenoble Bayesian community on a monthly basis around noteworthy papers. Those can equally focus on theory, methods, learning, applications, computations, etc, and can be seminal papers as well as recent preprints, as soon as they relate to Bayes.
The reading group is organised by Julyan Arbel and Florence Forbes. Feel free to contact them if you wish to attend/be added to the mailing list and/or give a talk. https://sites.google.com/view/bigseminar/accueil
React on social media: #BIGseminar
Sequential Monte-Carloi
Abstract
Nicolas will be giving a DIS exceptional seminar on the 23rd of January 2020 at 02:00 pm in the room Mont Blanc. Nicolas is a professor of Statistics at the ENSAE, and has been very active on the topic of Sequential Monte-Carlo (also known as particle filtering). He will be giving an introductory seminar on this topic as well as several applications to filtering problems in signal processing, ecology, finance, etc.
The reading group is organised by Julyan Arbel and Florence Forbes. Feel free to contact them if you wish to attend/be added to the mailing list and/or give a talk. https://sites.google.com/view/bigseminar/accueil
React on social media: #BIGseminar
23 January 2020, Nicolas Chopin (ENSAE Paris)
Sequential Monte-Carloi
AbstractNicolas will be giving a DIS exceptional seminar on the 23rd of January 2020 at 02:00 pm in the room Mont Blanc. Nicolas is a professor of Statistics at the ENSAE, and has been very active on the topic of Sequential Monte-Carlo (also known as particle filtering). He will be giving an introductory seminar on this topic as well as several applications to filtering problems in signal processing, ecology, finance, etc.
Published on January 9, 2020
Practical informations
Location
GIPSA-lab
Mont-Blanc room