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Seminario “The generalized linear mixed model leading terms” - prof. Matt Wand (University of Technology, Sydney, Australia) - 21 febbraio 2024, ore 15.30, aula 1_A Conferenze, I piano; Ed. D
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THE GENERALIZED LINEAR MIXED MODEL LEADING TERMS
Relatore: prof. Matt Wand - University of Technology Sydney, Australia
Abstract
Generalized linear mixed models were born in the early 1990s as
the love child of linear mixed models (1950s) and generalized
linear models (1970s). Now, in the 2020s, every day ends with the
publication of around 3 new papers on the topic. Despite their
ever-increasing ubiquity, there has been very little in the way of
asymptotic theory for the maximum likelihood estimators of generalized
linear mixed model parameters. Apart from simple conveyance of estimator
behaviour, there are the usual payoffs concerning statistical inference,
sample size calculations and optimal design. This talk will describe
new results concerning the generalized linear mixed model leading terms, and
is joint with Jiming Jiang, Aishwarya Bhaskaran and Luca Maestrini.
Ramifications concerning variational approximation will also be mentioned.
SHORT BIOGRAPHY
Matt Wand is a Distinguished Professor of Statistics at University
of Technology Sydney, Australia. He is an elected fellow of the American
Statistical Association, the Institute of Mathematical Statistics and
the Australian Academy of Science. His main research areas are generalized
linear mixed models, semiparametric regression and variational approximate
inference.
Luogo:
DEAMS - Aula 1_A Conferenze, Edificio D
Promotore:
DEAMS - Prof. Francesco Pauli, Prof.ssa Gioia Di Credico
Informazioni:
Ultimo aggiornamento: 16-02-2024 - 14:39