Bayesian model learning based on predictive entropy
type: Item
instance of: scholarly article
title: Bayesian model learning based on predictive entropy
zbMATH Open document ID: 1100.62031
author: Jukka Corander
author: Pekka Marttinen
published in: Journal of Logic, Language and Information
publication date: 2006-11-17T00:00:00Z
Mathematics Subject Classification ID: 62F15
Mathematics Subject Classification ID: 62B10
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 5073709
zbMATH Keywords: Bayesian inference
zbMATH Keywords: entropy
zbMATH Keywords: information theoretic criteria
zbMATH Keywords: objective model learning
MaRDI profile type: Publication
full work available at URL: s10849-005-9004-8
OpenAlex ID: W2029246300
cites work: Q4272609
cites work: A new look at the statistical model identification
cites work: A new look at the Bayes procedure
cites work: A Bayesian extension of the minimum AIC procedure of autoregressive model fitting
cites work: Robust Bayesian analysis of selection models
cites work: The Intrinsic Bayes Factor for Model Selection and Prediction
cites work: Estimating a Product of Means: Bayesian Analysis with Reference Priors
cites work: Default Bayes Factors for Nonnested Hypothesis Testing
cites work: Q3865268
cites work: Q4510966
cites work: Bayesian Hypothesis Testing: A Reference Approach
cites work: Bayesian graphical model determination using decision theory
cites work: Labelled Graphical Models
cites work: Bayesian unsupervised classification framework based on stochastic partitions of data and a parallel search strategy
cites work: Present Position and Potential Developments: Some Personal Views: Statistical Theory: The Prequential Approach
cites work: Q4094173
cites work: Decomposable graphical Gaussian model determination
cites work: A Bayesian predictive approach to model selection.
cites work: Q4195812
cites work: Graphical models
cites work: The Selection of Prior Distributions by Formal Rules
cites work: Q4510978
cites work: Q4382293
cites work: Model Selection and Accounting for Model Uncertainty in Graphical Models Using Occam's Window
cites work: On the stochastic complexity of learning realizable and unrealizable rules
cites work: Expected-posterior prior distributions for model selection
cites work: A note on improved likelihood ratio statistics for generalized log linear models
cites work: Q3800883
cites work: Fisher information and stochastic complexity
cites work: Theory of statistics
cites work: Estimating the dimension of a model
cites work: Bayesian Measures of Model Complexity and Fit
cites work: On competitive prediction and its relation to rate-distortion theory
cites work: Q5659019
DOI: 10.1007/S10849-005-9004-8
description: scientific article; zbMATH DE number 5073709