Bayes Factors and Choice Criteria for Linear Models

No abstract is available for this paper.

• Publication year

  1980

• Venue

  Journal of the royal statistical society series b-methodological

• Publication date

  Unknown publication date

• Fields of study

  Mathematics

• Identifiers
  DOI 10.1111/J.2517-6161.1980.TB01122.X
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• The determination of the order of an autoregression

  1979cited by this paper
• Comments on Model Selection Criteria of Akaike and Schwarz

  1979cited by this paper
• Estimating the Dimension of a Model

  1978cited by this paper
• Posterior probabilities for choosing a regression model

  1978cited by this paper
• An Asymptotic Equivalence of Choice of Model by Cross‐Validation and Akaike's Criterion

  1977cited by this paper
• Some properties of the order of an autoregressive model selected by a generalization of Akaike∘s EPF criterion

  1977cited by this paper
• Information Theory and an Extension of the Maximum Likelihood Principle

  1973cited by this paper
• Posterior probabilities of alternative linear models

  1971cited by this paper
• A STATISTICAL PARADOX

  1957cited by this paper
• The Theory of Probability

  1922cited by this paper

• Noether's razor: Learning Conserved Quantities

  2024cites this paper
• Modified intrinsic Bayes factor for multivariate regression models

  2024cites this paper
• An interview with Luis Raúl Pericchi

  2023cites this paper
• Bayesian Tests for Random Mating in Polyploids

  2023cites this paper
• Linking Frequentist and Bayesian Change-Point Methods

  2023cites this paper
• Calibrated Bayes factors under flexible priors

  2023cites this paper
• The Bayesian lens and Bayesian blinkers

  2023cites this paper
• Prospects for the inference of inertial modes from hypermassive neutron stars with future gravitational-wave detectors

  2023cites this paper
• Do We Really Need a Learnable Classifier at the End of Deep Neural Network?

  2022cites this paper
• Bayesian Model Selection, the Marginal Likelihood, and Generalization

  2022cites this paper
• Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network?

  2022cites this paper
• Bayesian Change-Point Detection via Context-Tree Weighting

  2022cites this paper
• The Bayesian Context Trees State Space Model: Interpretable mixture models for time series

  2022cites this paper
• Change-point Detection and Segmentation of Discrete Data using Bayesian Context Trees

  2022cites this paper
• Objective Bayesian group variable selection for linear model

  2021cites this paper
• Objective Bayesian variable selection in linear regression model

  2021cites this paper
• Occam Factor for Gaussian Models With Unknown Variance Structure

  2021cites this paper
• Hierarchical Bayesian Mixture Models for Time Series Using Context Trees as State Space Partitions

  2021cites this paper
• On a Stepwise Hypotheses Testing Procedure and Information Criterion in Identifying Dynamic Relations between Time Series

  2021cites this paper
• Mathematics for Machine Learning

  2020cites this paper
• Vector Calculus

  2020cites this paper
• Robust likelihood-ratio analysis for forensic source matching

  2020cites this paper
• Continuous Optimization

  2020cites this paper
• Density Estimation with Gaussian Mixture Models

  2020cites this paper
• Matrix Decompositions

  2020cites this paper
• Acknowledgments

  2020cites this paper
• Inference of COVID-19 epidemiological distributions from Brazilian hospital data

  2020cites this paper
• Preface

  2020cites this paper
• Classification with Support Vector Machines

  2020cites this paper
• When Models Meet Data

  2020cites this paper
• Probability and Distributions

  2020cites this paper
• Analytic Geometry

  2020cites this paper
• Dimensionality Reduction with Principal Component Analysis

  2020cites this paper
• Index

  2020cites this paper
• THE FORMATION OF THE MODEL OF DECISION MAKING ON THE STRATEGIC DEVELOPMENT OF THE RESTAURANT BUSINESS ENTERPRISE

  2020cites this paper
• Bayesian Methods in the Field of Rehabilitation

  2019cites this paper
• RISK-ORIENTED APPROACH TO THE QUALITY ASSESSMENT OF WATER SOURCES OF DRINKING WATER SUPPLY

  2019cites this paper
• Identification of taxon through classification with partial reject options

  2019cites this paper
• Prior‐free Bayes Factors Based on Data Splitting

  2019cites this paper
• Bayesian Decision-Theoretic Design of Experiments Under an Alternative Model

  2019cites this paper
• Introduction and Motivation

  2018cites this paper
• Sequence-dependent sensitivity explains the accuracy of decisions when cues are separated with a gap

  2018cites this paper
• The search for an organizing physical framework for statistics

  2018cites this paper
• Full Optical Fiber Link Characterization With the BSS-Lasso

  2018influential citation
• Linear Algebra

  2017cites this paper
• Objective Bayesian hypothesis testing in regression models with first-order autoregressive residuals

  2017cites this paper
• Reducing Model Selection Computational Cost by Metamodeling the Evidence

  2017cites this paper
• Similarity measure and domain adaptation in multiple mixture model clustering: An application to image processing

  2017cites this paper
• Marginal Likelihood Based Model Comparison in Fuzzy Bayesian Learning

  2017cites this paper
• Model averaged double robust estimation

  2017cites this paper
• Bayesian sparse regression modeling

  2017cites this paper
• Bayesian hypothesis tests with diffuse priors: Can we have our cake and eat it too?

  2017cites this paper
• Understanding the Effect of Immunity on Over-Dispersed Criminal Victimizations: Zero-Inflated Analysis of Household Victimizations in the NCVS

  2017cites this paper
• Bayesian model selection framework for identifying growth patterns in filamentous fungi.

  2016cites this paper
• Objective Bayesian testing on the common mean of several normal distributions under divergence-based priors

  2016cites this paper
• Residual Information of Previous Decision Affects Evidence Accumulation in Current Decision

  2016influential citation
• The Lindley paradox: The loss of resolution in Bayesian inference

  2016cites this paper
• Wind turbine performance analysis based on multivariate higher order moments and Bayesian classifiers

  2016cites this paper
• The intuitive idea that simple explanations are usually better than complicated ones now gets quantitative support from statistical methods

  2016cites this paper
• HIERARCHICAL BAYESIAN CURVE FITTING AND MODEL CHOICE FOR SPATIAL DATA

  2016cites this paper
• Uncertainty Quantification of State Boundaries in Thin Beam Buckling Experiments

  2015cites this paper
• Quantifying Confidence in Model Predictions for Hypersonic Aircraft Structures

  2015cites this paper
• Series Number 26 Benchmark priors for Bayesian model averaging

  2015cites this paper
• RESTRICTED MOST POWERFUL BAYESIAN TESTS A Dissertation by SCOTT DAVID GODDARD Submitted to the Office of Graduate and Professional Studies of Texas A&M University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY

  2015cites this paper
• Overview of Maximum Likelihood Estimation

  2015cites this paper
• A Bayesian Outbreak Detection Method for Influenza-Like Illness

  2015cites this paper
• Series Number 66 Benchmark priors for Bayesian model averaging

  2015cites this paper
• SPARSE REGRESSION MODELING VIA THE MAP BAYESIAN LASSO

  2015cites this paper
• Sequential Learning, Predictability, and Optimal Portfolio Returns: Sequential Learning, Predictability, and Optimal Portfolio Returns

  2014cites this paper
• Advanced component analysis techniques for signal decomposition and their applications to audio restoration and volcanic seismology

  2014cites this paper
• Using Bayes to get the most out of non-significant results

  2014cites this paper
• Performances of Bayesian model selection criteria for generalized linear models with non-ignorably missing covariates

  2014cites this paper
• Bayesian Cognitive Modeling: A Practical Course

  2014cites this paper
• The predictive focus account of the principle of simplicity

  2014cites this paper
• Objective Bayesian Variable Selection for Censored Data

  2013cites this paper
• Statistical Methods for Effect Estimation in Biomedical Research: Robustness and Efficiency

  2013cites this paper
• Some Uses of Information Theory in Objective Model Selection

  2013cites this paper
• Mathematical Models of Cognitive Control: Design, Comparison, and Optimization

  2013cites this paper
• Minimum Description Length Methods in Bayesian Model Selection: Some Applications

  2013cites this paper
• The Jeffreys–Lindley paradox and discovery criteria in high energy physics

  2013cites this paper
• The frequentist implications of optional stopping on Bayesian hypothesis tests

  2013cites this paper
• The Whetstone and the Alum Block: Balanced Objective Bayesian Comparison of Nested Models for Discrete Data

  2013cites this paper
• Calibrated Bayes factors for model selection and model averaging

  2012cites this paper
• Bayesian Modeling and Forecasting of 24-Hour High-Frequency Volatility

  2012cites this paper
• Interplay between distribution of live cells and growth dynamics of solid tumours

  2012cites this paper
• Modelling for identifying accident-prone spots: Bayesian approach with a Poisson mixture model

  2012cites this paper
• Volatility around the clock: Bayesian modeling and forecasting of intraday volatility in the nancial crisis

  2012cites this paper
• Bayesian analysis for the bivariate Poisson regression model: Applications to road safety countermeasures

  2012cites this paper
• Can Post-Error Dynamics Explain Sequential Reaction Time Patterns?

  2012cites this paper
• Measuring Corporate Default Risk

  2011cites this paper
• Model Averaging for Volatility Forecasting, Option Pricing and Asset Allocation

  2011cites this paper
• Bayesian inference in physics

  2011cites this paper
• From phenotype to genotype: a Bayesian solution

  2011cites this paper
• Statistical Model Selection

  2011cites this paper
• Neutral-data comparisons for Bayesian testing

  2011cites this paper
• On BIC's Selection Consistency for Discriminant Analysis

  2011cites this paper
• SKIN LESIONS DUE TO MUSTARD GAS

  2011cites this paper
• Bayesian Methods for Adaptive Models

  2011cites this paper
• Assessing variance components in multilevel linear models using approximate Bayes factors: a case‐study of ethnic disparities in birth weight

  2011cites this paper
• List of Distributions

  2011cites this paper