4.3 Article

On the Jeffreys-Lindley Paradox

Journal

PHILOSOPHY OF SCIENCE
Volume 81, Issue 2, Pages 216-232

Publisher

CAMBRIDGE UNIV PRESS
DOI: 10.1086/675729

Keywords

-

Funding

  1. Agence Nationale de la Recherche (ANR, 212, rue de Bercy, Paris) [ANR-11-BS01-0010]
  2. Institut Universitaire de France chair
  3. Agence Nationale de la Recherche (ANR) [ANR-11-BS01-0010] Funding Source: Agence Nationale de la Recherche (ANR)

Ask authors/readers for more resources

This article discusses the dual interpretation of the Jeffreys-Lindley paradox associated with Bayesian posterior probabilities and Bayes factors, both as a differentiation between frequentist and Bayesian statistics and as a pointer to the difficulty of using improper priors while testing. I stress the considerable impact of this paradox on the foundations of both classical and Bayesian statistics. While assessing existing resolutions of the paradox, I focus on a critical viewpoint of the paradox discussed by Spanos in Philosophy of Science.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.3
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Biochemical Research Methods

ABC random forests for Bayesian parameter inference

Louis Raynal, Jean-Michel Marin, Pierre Pudlo, Mathieu Ribatet, Christian P. Robert, Arnaud Estoup

BIOINFORMATICS (2019)

Article Statistics & Probability

Approximate Bayesian computation with the Wasserstein distance

Espen Bernton, Pierre E. Jacob, Mathieu Gerber, Christian P. Robert

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2019)

Article Computer Science, Software Engineering

The virtual lands of Oz: testing an agribot in simulation

Clement Robert, Thierry Sotiropoulos, Helene Waeselynck, Jeremie Guiochet, Simon Vernhes

EMPIRICAL SOFTWARE ENGINEERING (2020)

Article Statistics & Probability

Model misspecification in approximate Bayesian computation: consequences and diagnostics

David T. Frazier, Christian P. Robert, Judith Rousseau

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2020)

Article Computer Science, Theory & Methods

Coordinate sampler: a non-reversible Gibbs-like MCMC sampler

Changye Wu, Christian P. Robert

STATISTICS AND COMPUTING (2020)

Article Agriculture, Dairy & Animal Science

Estimation of genetic parameters for dairy traits and somatic cell score in the first 3 parities using a random regression test-day model in French Alpine goats

M. Arnal, H. Larroque, H. Leclerc, V Ducrocq, C. Robert-Granie

JOURNAL OF DAIRY SCIENCE (2020)

Article Statistics & Probability

Rao-Blackwellisation in the Markov Chain Monte Carlo Era

Christian P. Robert, Gareth Roberts

Summary: Rao-Blackwellization, a concept in the MCMC literature, has different meanings and connections with the original Rao-Blackwell theorem. It aims to reduce the variance of Monte Carlo approximations. This survey examines various interpretations of this term.

INTERNATIONAL STATISTICAL REVIEW (2021)

Article Physics, Fluids & Plasmas

Cycling speeds in crosswinds

C. Clanet, Hector Abel, E. Brunet, Francesco Grasso, C. Robert, C. Cohen

Summary: This study examined the aerodynamic force on a cyclist in time trial position in various wind conditions using a large-scale wind tunnel. A theoretical model was developed to explain experimental features, with a new analytical expression derived for total aerodynamic power and cycling speed in arbitrary crosswind conditions. The commonly used expression for power dissipation in crosswinds was found to require correction beyond pure head and tailwind limits.

PHYSICAL REVIEW FLUIDS (2021)

Article Statistics & Probability

Rethinking the Effective Sample Size

Victor Elvira, Luca Martino, Christian P. Robert

Summary: This paper revisits the approximation of effective sample size (ESS) in the context of importance sampling and finds the existing approximations problematic. The authors propose new research directions for multiple importance sampling and alternative metrics.

INTERNATIONAL STATISTICAL REVIEW (2022)

Editorial Material Multidisciplinary Sciences

A special issue on Bayesian inference: challenges, perspectives and prospects

Christian P. Robert, Judith Rousseau

PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES (2023)

Article Mathematics, Applied

On parameter estimation with the Wasserstein distance

Espen Bernton, Pierre E. Jacob, Mathieu Gerber, Christian P. Robert

INFORMATION AND INFERENCE-A JOURNAL OF THE IMA (2019)

Article Agriculture, Dairy & Animal Science

Genetic parameters for first lactation dairy traits in the Alpine and Saanen goat breeds using a random regression test-day model

Mathieu Arnal, Helene Larroque, Helene Leclerc, Vincent Ducrocq, Christele Robert-Granie

GENETICS SELECTION EVOLUTION (2019)

Article Mathematics, Applied

ACCELERATING METROPOLIS-HASTINGS ALGORITHMS BY DELAYED ACCEPTANCE

Marco Banterle, Clara Grazian, Anthony Lee, Christian P. Robert

FOUNDATIONS OF DATA SCIENCE (2019)

Article Automation & Control Systems

Expectation Propagation as a Way of Life: A Framework for Bayesian Inference on Partitioned Data

Aki Vehtari, Andrew Gelman, Tuomas Sivula, Pasi Jylanki, Dustin Tran, Swupnil Sahai, Paul Blomstedt, John P. Cunningham, David Schiminovich, Christian P. Robert

JOURNAL OF MACHINE LEARNING RESEARCH (2020)

Article Mathematics, Interdisciplinary Applications

Markov Chain Monte Carlo Algorithms for Bayesian Computation, a Survey and Some Generalisation

Wu Changye, Christian P. Robert

CASE STUDIES IN APPLIED BAYESIAN DATA SCIENCE: CIRM JEAN-MORLET CHAIR, FALL 2018 (2020)

No Data Available