Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Márcia D. Branco"'
Autor:
Rosangela H. Loschi, Raffaele Argiento, Renato M. Assunção, Fabrizio Ruggeri, Márcia D. Branco, Guilherme Lopes de Oliveira
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Data quality from poor and socially deprived regions have given rise to many statistical challenges. One of them is the underreporting of vital events leading to biased estimates for the associated risks. To deal with underreported count data, models
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::624f5288b33f3d82cf1bd73d9423ac81
http://hdl.handle.net/10807/163433
http://hdl.handle.net/10807/163433
Autor:
Carlos Montenegro, Márcia D. Branco
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
We use the state-space approach to the logistic population growth model to update our knowledge of a population of marine shrimp off the Chilean coast. The unobserved state is the annual shrimp biomass, and the observation is the mean catch per unit
Publikováno v:
Braz. J. Probab. Stat. 31, no. 2 (2017), 373-393
Brazilian Journal of Probability and Statistics 31 (2017): 373–393. doi:10.1214/16-BJPS318
info:cnr-pdr/source/autori:L. de Godoi, M. Branco, and F. Ruggeri/titolo:Concentration function for the skew-normal and skew-t distributions, with application in robust Bayesian analysis/doi:10.1214%2F16-BJPS318/rivista:Brazilian Journal of Probability and Statistics/anno:2017/pagina_da:373/pagina_a:393/intervallo_pagine:373–393/volume:31
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Brazilian Journal of Probability and Statistics 31 (2017): 373–393. doi:10.1214/16-BJPS318
info:cnr-pdr/source/autori:L. de Godoi, M. Branco, and F. Ruggeri/titolo:Concentration function for the skew-normal and skew-t distributions, with application in robust Bayesian analysis/doi:10.1214%2F16-BJPS318/rivista:Brazilian Journal of Probability and Statistics/anno:2017/pagina_da:373/pagina_a:393/intervallo_pagine:373–393/volume:31
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Data from many applied fields exhibit both heavy tail and skewness behavior. For this reason, in the last few decades, there has been a growing interest in exploring parametric classes of skew-symmetrical distributions. A popular approach to model de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d242b542ff7fb273d821d77f0aed8df3
http://projecteuclid.org/euclid.bjps/1492156968
http://projecteuclid.org/euclid.bjps/1492156968
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
We develop a global sensitivity analysis to measure the robustness of the Bayesian estimators with respect to a class of prior distributions. This class arises when we consider multiplicative contamination of a base prior distribution. A similar stru
Publikováno v:
Scandinavian Journal of Statistics. 40:63-85
We study the Jeffreys prior and its properties for the shape parameter of univariate skew-t distributions with linear and nonlinear Student's t skewing functions. In both cases, we show that the resulting priors for the shape parameter are symmetric
Autor:
Márcia D. Branco, Rolando de la Cruz
Publikováno v:
Biometrical Journal. 51:588-609
We have considered a Bayesian approach for the nonlinear regression model by replacing the normal distribution on the error term by some skewed distributions, which account for both skewness and heavy tails or skewness alone. The type of data conside
Publikováno v:
CANADIAN JOURNAL OF STATISTICS
Artículos CONICYT
CONICYT Chile
instacron:CONICYT
Artículos CONICYT
CONICYT Chile
instacron:CONICYT
Parametric families of multivariate nonnormal distributions have received considerable attention in the past few decades. The authors propose a new definition of a selection distribution that encompasses many existing families of multivariate skewed
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Braz. J. Probab. Stat. 28, no. 1 (2014), 1-23
Universidade de São Paulo (USP)
instacron:USP
Braz. J. Probab. Stat. 28, no. 1 (2014), 1-23
We introduce new applications of the skew-probit IRT model by considering a flexible skew-normal distribution for the latent variables and by extending this model to include an additional random effect for modeling dependence between items within the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb8d1a22449d94905762b49777bad492
Autor:
Dipak K. Dey, Márcia D. Branco
Publikováno v:
Journal of Multivariate Analysis. 79(1):99-113
This paper proposes a general class of multivariate skew-elliptical distributions. We extend earlier results on the so-called multivariate skew-normal distribution. This family of distributions contains the multivariate normal, Student's t, exponenti
Publikováno v:
JOURNAL OF STATISTICAL PLANNING AND INFERENCE
Artículos CONICYT
CONICYT Chile
instacron:CONICYT
Artículos CONICYT
CONICYT Chile
instacron:CONICYT
In this paper we discuss calibration problems under dependent and independent elliptical family of distributions. In the dependent case, it is shown that the posterior distribution of the quantity of interest is robust with respect to the distributio