All Stories

  1. Statistical Causality from a Decision-Theoretic Perspective
  2. Statistical Inference ‐ Further Issues
  3. Invariant Prior Distributions
  4. Theory and applications of proper scoring rules
  5. A Formal Treatment of Sequential Ignorability
  6. Beauty
  7. Introduction
  8. PHILIP DAWID, WILLIAM TWINING and MIMI VASILAKI (eds) Evidence, Inference, and Enquiry
  9. Exchangeability and its ramifications
  10. Deep determinism and the assessment of mechanistic interaction
  11. Causality
  12. The Decision‐Theoretic Approach to Causal Inference
  13. Assessing Dynamic Treatment Strategies
  14. Analysis of Interaction for Identifying Causal Mechanisms
  15. Estimation of spatial processes using local scoring rules
  16. Proper local scoring rules
  17. Proper local scoring rules on discrete sample spaces
  18. "Imagine a Can Opener"--The Magic of Principal Stratum Analysis
  19. Introduction*
  20. Evidence, Inference and Enquiry
  21. Inference Networks: Bayes and Wigmore
  22. Simplicity versus complexity in modelling
  23. Chapter 2 of Simplicity, Complexity and Modelling
  24. Model selection and other matters
  25. Chapter 1 of Simplicity, Complexity and Modelling
  26. Defining and identifying the effect of treatment on the treated
  27. Posterior Model Probabilities
  28. Insuring against loss of evidence in game-theoretic probability
  29. Response to: DNA identification by pedigree likelihood ratio accommodating population substructure and mutations
  30. Basu on Ancillarity
  31. Identifying the consequences of dynamic treatment strategies: A decision-theoretic overview
  32. Comments on: Assessing probabilistic forecasts of multivariate quantities, with an application to ensemble predictions of surface winds
  33. Probability and Evidence
  34. Statistics on trial
  35. Conditional Independence
  36. Probability Forecasting
  37. Prequential Analysis
  38. Inference, Statistical—I
  39. Invariant Prior Distributions
  40. Bayes’s Theorem and Weighing Evidence by Juries
  41. Statistics on trial
  42. Conditional Independence
  43. Probability Forecasting
  44. Inference, Statistical: I
  45. Invariant Prior Distributions
  46. Game theory, maximum entropy, minimum discrepancy and robust Bayesian decision theory
  47. Prequential Analysis
  48. Commentary: Counterfactuals: help or hindrance?
  49. Causal Inference without Counterfactuals
  50. design
  51. Prequential Probability: Principles and Properties
  52. Who Needs Counterfactuals?
  53. Forensic identification with imperfect evidence
  54. Discussion of Causal Diagrams for Empirical Research by J. Pearl
  55. [Inference Based on Estimating Functions in the Presence of Nuisance Parameters]: Comment
  56. Hybrid propagation in junction trees
  57. Fiducial Prediction and Semi-Bayesian Inference
  58. [Bayesian Analysis in Expert Systems]: Rejoinder
  59. Bayesian Analysis in Expert Systems
  60. Editorial
  61. A Bayesian Analysis of Hume's Argument Concerning Miracles
  62. The Difficulty About Conjunction
  63. [Savage Revisited]: Comment
  64. Discussion: On the Consistency of Bayes Estimates
  65. Rejoinder: Calibration-Based Empirical Probability
  66. Calibration-Based Empirical Probability
  67. Reply: The Functional-Model Basis of Fiducial Inference
  68. Some matrix-variate distribution theory: Notational considerations and a Bayesian application
  69. Conditional Independence for Statistical Operations
  70. Statistical Prediction Analysis.
  71. Further Comments on Some Comments on a Paper by Bradley Efron
  72. Invariant distributions and analysis of variance models
  73. Properties of Diagnostic Data Distributions
  74. Expectation Consistency and Generalized Bayes Inference
  75. Posterior expectations for large observations
  76. Expectation consistency of inverse probability distributions