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The zero-inflated Conway-Maxwell-Poisson distribution: Bayesian inference, regression modeling and influence diagnostic
(Elsevier B.V., 2014-11-01)
In this paper we propose the zero-inflated COM-Poisson distribution. We develop a Bayesian analysis for our model via on Markov chain Monte Carlo methods. We discuss regression modeling and model selection, as well as, ...
Multicollinearity and financial constraint in investment decisions: a Bayesian generalized ridge regression
(ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD, 2011)
This paper addresses the investment decisions considering the presence of financial constraints of 373 large Brazilian firms from 1997 to 2004, using panel data. A Bayesian econometric model was used considering ridge ...
Education Projections using Age-Period-Cohort Models: Classical and Bayesian Approaches
(Universidade Federal de Minas GeraisUFMG, 2014-03-07)
The APC framework for modeling and forecasting the education profile of Brazilian males and females is considered from both classical and Bayesian perspectives. For a classical analysis, I calculate maximum likelihood ...
Bayesian inference for dependent elliptical measurement error models
(ELSEVIER INC, 2010)
In this article we provide a Bayesian analysis for dependent elliptical measurement error models considering nondifferential and differential errors. In both cases we compute posterior distributions for structural parameters ...
Bayesian identification of electromechanical properties in piezoelectric energy harvesters
(Elsevier, 2020)
The model updating of the electro-mechanical properties of Piezoelectric Energy
Harvesters (PEHs) using experimental data within a Bayesian inference setting is discussed.
The implementation requires: a predictive model ...
A general Bayesian estimation method of linear-bilinear models applied to plant breeding trials with genotype × environment interaction
(Springer VerlagAmerican Statistical AssociationInternational Biometrics Society, 2013)
GARMA models, a new perspective using Bayesian methods and transformations
(Universidade Federal de São CarlosUFSCarPrograma Interinstitucional de Pós-Graduação em Estatística - PIPGEsCâmpus São Carlos, 2016-12-16)
Generalized autoregressive moving average (GARMA) models are
a class of models that was developed for extending the univariate
Gaussian ARMA time series model to a flexible observation-driven
model for non-Gaussian time ...
Optimal sampling for repeated binary measurements
(CANADIAN JOURNAL STATISTICS, 2004)
The authors consider the optimal design of sampling schedules for binary sequence data. They propose an approach which allows a variety of goals to be reflected in the utility function by including deterministic sampling ...