Convite para Palestra

Prezados Redistas,

O PROGRAMA DE PÓS-GRADUAÇÃO EM MATEMÁTICA APLICADA E COMPUTACIONAL, DA FCT/UNESP, CONVIDA PARA A PALESTRA:

?MODELING OF COMPLEX STOCHASTIC SYSTEMS VIA LATENT FACTORS?

PALESTRANTE: PROF. DR. HEDIBERT FREITAS LOPES - THE UNIVERSITY OF CHICAGO BOOTH

LOCAL...........: AUDITÓRIO DA FCT - DISCENTE V

DIA.................: 29/11/2012

HORÁRIO......: 14h00

Abstract: Factor models, and related statistical tools for dimension reduction, have been widely and routinely used in psychometric, item response theory, geology, econometric and biological, amongst many other fields, since the late 1960¹s when Karl G. Jöreskog, a Swedish statistician, proposed the first reliable numerical method for maximum likelihood estimation (MLE) in factor analysis (Jöreskog, 1969). Such developments happened, certainly not by chance, around the same time the computer industry was experiencing major advances. From a Bayesian perspective, Martin and McDonald (1975) showed that MLE suffers from several inconsistency issues (for instance, negative idiosyncratic variances). Nonetheless, Bayesian researchers themselves could not produce general algorithms for exact posterior inference for factor models until the early 1990¹s when the computer industry had another wave of major advances and Markov chain Monte Carlo (MCMC) schemes were almost instantly customized for all fields cited above. In this talk, my goal is to illustrate how such advances, both in factor modeling and statistical computing, have driven my own research in financial econometrics, spatio-temporal modeling and macro- and microeconomics, among others. This will be done by linking my own.