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Information criteria: how do they behave in different models?
(Elsevier, 2019)
Growth pattern of the sea urchin, Loxechinus albus (Molina, 1782) in southern Chile: Evaluation of growth models
(Springer, 2010-05)
The growth pattern of Loxechinus albus in southern Chile was studied using size-at-age data obtained by reading growth bands on the genital plates. The scatter plots of sizes-at-age for samples collected in three different ...
Fundamentos e aplicações dos critérios de Informação: akaike e bayesianoFundamentals and applications criteria for Information: akaike and bayesian
(UNIVERSIDADE FEDERAL DE LAVRASDEX - Departamento de Ciências ExatasUFLABRASIL, 2014)
Full Bayesian significance test for extremal distributions
(Taylor & Francis LtdAbingdonInglaterra, 2011)
A note on model uncertainty in linear regression
(Blackwell Publ Ltd, 2003-01-01)
We consider model selection uncertainty in linear regression. We study theoretically and by simulation the approach of Buckland and co-workers, who proposed estimating a parameter common to all models under study by taking ...
Combinação de Características Para Segmentação em Transcrição de Locutores
(Universidade Federal de Pernambuco, 2015)
Context tree selection: A unifying view
(ELSEVIER SCIENCE BV, 2011)
Context tree models have been introduced by Rissanen in [25] as a parsimonious generalization of Markov models. Since then, they have been widely used in applied probability and statistics. The present paper investigates ...
Foreign Capital and Labor Productivity Growth in Chile: An Empirical AnaysisFOREIGN CAPITAL AND LABOR PRODUCTIVITY GROWTH IN CHILE: AN EMPIRICAL ANALYSISFOREIGN CAPITAL AND LABOR PRODUCTIVITY GROWTH IN CHILE: AN EMPIRICAL ANALYSISFOREIGN CAPITAL AND LABOR PRODUCTIVITY GROWTH IN CHILE: AN EMPIRICAL ANALYSIS
(Instituto de Investigaciones Económicas, 2009)
Structure learning and parameter estimation of probabilistic context neighborhoods
(Universidade Federal de Minas GeraisBrasilICX - DEPARTAMENTO DE ESTATÍSTICAPrograma de Pós-Graduação em EstatísticaUFMG, 2021-07-09)
As árvores probabilísticas de contexto oferecem uma representação mais eficiente para a dependência de uma Cadeia de Markov, tanto do ponto de vista computacional como em sua fácil interpretação. Essas vantagens permitiram ...