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Causal reasoning with probabilistic graphical models

​Speaker: Jose M. Peña IDA, LiU

Abstract
I will present a series of families of probabilistic graphical models of increasing complexity (Bayesian networks, chain graphs, and acyclic directed mixed graphs). I will discuss their relative merits and show how to perform causal reasoning with them.

Jose M. Peña IDA, LiU, www.ida.liu.se/~jospe50/
Presentation slides >>​


Location: Ledningsrummet, floor 2, Chalmers conference center, Student Union Building, Chalmersplatsen 1, Johanneberg
Category Seminar
Location:
Starts: 26 January, 2017, 10:30
Ends: 26 January, 2017, 12:00

Published: Thu 12 Jan 2017. Modified: Mon 30 Jan 2017