[ABE-L] Fwd: Fw: Academic Seminar: Data Science with Magno Tairone (Insper)

[Hedibert Lopes]

*Title:* Model selection for Markov random fields on graphs under a mixing
condition



*Palestrante:* Magno Tairone
<https://www.insper.edu.br/pt/docentes/magno-tairone-freitas-severino>

*Universidade:* Insper <https://www.insper.edu.br/pt/home>





*Abstract:* We propose a global model selection criterion to estimate the
graph of conditional dependencies of a random vector. By global criterion,
we mean optimizing a function over the set of possible graphs, eliminating
the need to estimate individual neighborhoods and subsequently combine them
to estimate the graph. We prove the almost sure convergence of the graph
estimator. This convergence holds, provided the data is a realization of a
multivariate stochastic process that satisfies a polynomial mixing
condition. These are the first results to show the consistency of a model
selection criterion for Markov random fields on graphs under
non-independent data.


May 7th 2026, 12pm, São Paulo (UTC/GMT - 03:00)


Room 410, 4th floor, Claudio Haddad Building


The seminar will be streamed at the following zoom link

https://zoom.us/j/95781336030

Access password:  send me a private message and I will send it





Hedibert Freitas Lopes, PhD
Professor of Statistics and Econometrics
INSPER - Institute of Education and Research
Rua Quatá, 300 - São Paulo, SP 04546-042 Brazil
Phone: +55 11 4504-2343
www.hedibert.org
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