Dynamic Bayesian beta models

DOI10.1016/j.csda.2010.12.011zbMath1328.62159OpenAlexW2141322161MaRDI QIDQ901598

Helio S. Migon, L. T. Correia, Cibele Queiroz da-Silva

Publication date: 12 January 2016

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2010.12.011

zbMATH Keywords

Bayesian analysisnormal distributionlogisticgeneralized linear modelsbeta distributiondynamic models

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Bayesian inference (62F15) Generalized linear models (logistic models) (62J12)

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Uses Software

• dlm

Cites Work

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• Beta Regression for Modelling Rates and Proportions
• Bayesian forecasting and dynamic models.
• Decomposition of time series models in state-space form
• Dynamic generalized linear models and repeated measurements
• Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations
• Dynamic Generalized Linear Models and Bayesian Forecasting
• An Autoregressive Process for Beta Random Variables
• TIME SERIES ANALYSIS OF BOUNDED ECONOMIC VARIABLES
• Numerical Analysis for Statisticians
• Dynamic Linear Models with R
• BAYESIAN BETA REGRESSION: APPLICATIONS TO HOUSEHOLD EXPENDITURE DATA AND GENETIC DISTANCE BETWEEN FOOT‐AND‐MOUTH DISEASE VIRUSES
• Regression analysis of variates observed on (0, 1): percentages, proportions and fractions
• Tools for statistical inference. Methods for the exploration of posterior distributions and likelihood functions.

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