BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Identifiability in continuous Lyapunov graphical models
DTSTART:20221118T151500
DTEND:20221118T170000
DTSTAMP:20260511T110929Z
UID:b51793e0b30e773a58611a3275cf11bcd5bdcb559afaefa39c0d3015
CATEGORIES:Conferences - Seminars
DESCRIPTION:Carlos Amendola (TU Berlin)\nLyapunov graphical models represe
 nt a new approach in graphical modeling where independent observations are
  taken to be one-time cross-sectional snapshots of the multivariate Ornste
 in-Uhlenbeck process in equilibrium. The non-zero pattern of the drift mat
 rix allows for a causally interpretable dependence structure among the coo
 rdinates of the process which can be represented by a directed graph.\nAft
 er a short review of classical Gaussian linear structural equation models\
 , we will introduce the Lyapunov models and focus on the fundamental quest
 ion of identifiability\, i.e. being able to recover the parameters knowing
  the true data generating distribution.\nBased on joint work with Philipp 
 Dettling\, Mathias Drton\, Niels Richard Hansen and Roser Homs
LOCATION:MA A3 30 https://plan.epfl.ch/?room==MA%20A3%2030
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR