"Imagine a Can Opener"--The Magic of Principal Stratum Analysis

scientific article published on 23 July 2012

A Bayesian Analysis of Hume's Argument Concerning Miracles

A comment on the PCAST report: Skip the "match"/"non-match" stage.

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Assessing Dynamic Treatment Strategies

Basu on Ancillarity

Bayesian Analysis in Expert Systems

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Bayesian Statistics 5

Bayes’s Theorem and Weighing Evidence by Juries

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Calibration-Based Empirical Probability

Causal Inference Without Counterfactuals

Causal Inference Without Counterfactuals: Rejoinder

Causal diagrams for empirical research

Comment

Comment: Causal Inference from Messy Data

article published in 1984

Correction: Hyper Markov Laws in the Statistical Analysis of Decomposable Graphical Models

Corrigenda: Influence Diagrams for Causal Modelling and Inference

Counterfactuals: help or hindrance?

scientific article published in April 2002

Deep determinism and the assessment of mechanistic interaction

scientific article published on 19 December 2012

Discussion of Causal Diagrams for Empirical Research by J. Pearl

Discussion of the Papers by Rissanen and by Wallace and Dowe

Discussion: On the Consistency of Bayes Estimates

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Editorial

Encyclopedia of Statistical Sciences 2

Estimating mutation rates from paternity casework

scientific article published on 24 October 2007

Expectation Consistency and Generalized Bayes Inference

Expectation Consistency of Inverse Probability Distributions

Expectation consistency of inverse probability distributions

Fast retraction of evidence in a probabilistic expert system

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Forensic identification with imperfect evidence

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Further Comments on Some Comments on a Paper by Bradley Efron

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Hyper Markov Laws in the Statistical Analysis of Decomposable Graphical Models

Independence properties of directed markov fields

Inference, Statistical: I

Influence Diagrams for Causal Modelling and Inference

Introduction

Invariant Distributions and Analysis of Variance Models

Maximum Likelihood Estimation of Observer Error-Rates Using the EM Algorithm

article by Philip Dawid & A. M. Skene published 1979 in Journal of the Royal Statistical Society Series C: Applied Statistics

Non-fatherhood or mutation?

scientific article published on 01 December 2001

On individual risk ⬇️

On the Nature and Discovery of Structure: Comment

On the limiting normality of posterior distributions

article by Philip Dawid published May 1970 in Mathematical Proceedings of the Cambridge Philosophical Society

Posterior Expectations for Large Observations

Posterior expectations for large observations

Prequential data analysis

Probabilistic expert systems for DNA mixture profiling

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Probabilistic sensitivity analysis in health economics ⬇️

scientific article published on September 18, 2011

Probability and Evidence

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Probability, Causality and the Empirical World: A Bayes?de Finetti?Popper? Borel Synthesis

Probability, Symmetry and Frequency

Properties of diagnostic data distributions

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Rejoinder

Rejoinder

Rejoinder: Calibration-Based Empirical Probability

Response to: DNA identification by pedigree likelihood ratio accommodating population substructure and mutations

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Retrospective-prospective symmetry in the likelihood and Bayesian analysis of case-control studies

article by S. P. J. Byrne & Philip Dawid published 8 December 2013 in Biometrika

STOCHASTIC COMPLEXITY IN STATISTICAL INQUIRY

Selection paradoxes of Bayesian inference

Self-Calibrating Priors Do Not Exist: Comment

Some Matrix-Variate Distribution Theory: Notational Considerations and a Bayesian Application

Some matrix-variate distribution theory: Notational considerations and a Bayesian application

Statistics on trial

scientific article published on 01 January 2007

Statistics on trial

The Difficulty About Conjunction

The Functional-Model Basis of Fiducial Inference

The Well-Calibrated Bayesian

The Well-Calibrated Bayesian

The Well-Calibrated Bayesian: Rejoinder

The geometry of proper scoring rules

Theoretical Statistics

review in Journal of the American Statistical AssociationVol. 71, No. 356

Un-Bayesian Implications of Improper Bayes Inference in Routine Statistical Problems

Un-Bayesian implications of improper Bayes inference in routine statistical problems

Who Needs Counterfactuals?

[Inference Based on Estimating Functions in the Presence of Nuisance Parameters]: Comment

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[Savage Revisited]: Comment