Modelling categorized levels of precipitation
type: Item
instance of: scholarly article
title: Modelling categorized levels of precipitation
zbMATH Open document ID: 1319.62227
DOI: 10.1214/12-BJPS201
author: Patrícia Lusié Velozo
author: Mariane B. Alves
author: Alexandra M. Schmidt
published in: Brazilian Journal of Probability and Statistics
publication date: 2014-08-12T00:00:00Z
full work available at URL: https://projecteuclid.org/euclid.bjps/1396615436
Mathematics Subject Classification ID: 62P12
Mathematics Subject Classification ID: 62-07
zbMATH DE Number: 6329290
zbMATH Keywords: Bayesian inference
zbMATH Keywords: cumulative link model
zbMATH Keywords: latent variable
zbMATH Keywords: ordinal data
zbMATH Keywords: probit model
MaRDI profile type: Publication
cites work: Q3997739
cites work: Bayesian Analysis of Binary and Polychotomous Response Data
cites work: Data augmentation strategies for the Bayesian spatial probit regression model
cites work: Bayesian Forecasting of Multinomial Time Series Through Conditional Gaussian Dynamic Models
cites work: On Gibbs sampling for state space models
cites work: A unified Bayesian approach for analyzing correlated ordinal response data
cites work: Bayesian Models for Categorical Data
cites work: Bayesian prediction of clipped Gaussian random fields.
cites work: A simple model for spatial rainfall fields
cites work: DATA AUGMENTATION AND DYNAMIC LINEAR MODELS
cites work: Spatial-temporal mesoscale modeling of rainfall intensity using gage and radar data
cites work: Sampling-Based Approaches to Calculating Marginal Densities
cites work: Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
cites work: Monte Carlo sampling methods using Markov chains and their applications
cites work: A clipped latent variable model for spatially correlated ordered categorical data
cites work: A Non-Homogeneous Hidden Markov Model for Precipitation Occurrence
cites work: Q5726065
cites work: Venezuelan Rainfall Data Analysed by Using a Bayesian Space–time Model
cites work: Bayesian forecasting and dynamic models.
description: scientific article; zbMATH DE number 6329290