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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 ...
Bayesian Regression in Pavement Deterioration Modeling: Revisiting the AASHO Road Test Rut Depth Model
(2012-11-30)
Traditional pavement deterioration modeling is normally based on historical condition data alone without incorporating the fundamental relationships between the causal factors and the response. Also, typical approaches do ...
Bayesian Regression in Pavement Deterioration Modeling: Revisiting the AASHO Road Test Rut Depth Model
(2012-11-30)
Traditional pavement deterioration modeling is normally based on historical condition data alone without incorporating the fundamental relationships between the causal factors and the response. Also, typical approaches do ...
Bayesian survival analysis with BUGS
(John Wiley and Sons Ltd, 2021)
© 2021 John Wiley & Sons Ltd.Survival analysis is one of the most important fields of statistics in medicine and biological sciences. In addition, the computational advances in the last decades have favored the use of ...
Pricing farm-level agricultural insurance: a Bayesian approach
(PHYSICA-VERLAG GMBH & CO, 2009)
This paper applies Hierarchical Bayesian Models to price farm-level yield insurance contracts. This methodology considers the temporal effect, the spatial dependence and spatio-temporal models. One of the major advantages ...
Time-series prediction with BEMCA approach: Application to short rainfall series
(Institute of Electrical and Electronics Engineers Inc., 2018)
This paper presents a new method to forecast short rainfall time-series. The new framework is by means of Bayesian enhanced modified combined approach (BEMCA) using permutation and relative entropy with Bayesian inference. ...
A bayesian analysis for the parameters of the exponential-logarithmic distribution
(2013-07-01)
The exponential-logarithmic is a new lifetime distribution with decreasing failure rate and interesting applications in the biological and engineering sciences. Thus, a Bayesian analysis of the parameters would be desirable. ...