Probabilistic Reasoning in Predictive Expert Systems. - David J. Spiegelhalter (UAI, 1985)

A Unified Approach to Imprecision and Sensitivity of Beliefs in Expert Systems. - David J. Spiegelhalter (UAI, 1987)

Comments on An inquiry into computer understanding by Peter Cheeseman. - David J. Spiegelhalter (Comput. Intell., 1988)

Responses to "An AI view of the treatment of uncertainty" by Alessandro Saffiotti. - Dominic A. Clark; Jim F. Baldwin; Hamid R. Berenji; Paul R. Cohen; Didier Dubois; John Fox 001; John F. Lemmer; Henri Prade; David J. Spiegelhalter; Philippe Smets; Lotfi A. Zadeh (Knowl. Eng. Rev., 1988)

Assessment, Criticism and Improvement of Imprecise Subjective Probabilities for a Medical Expert System. - David J. Spiegelhalter; Rodney C. G. Franklin; Kate Bull (UAI, 1989)

Techniques for Bayesian analysis in expert systems. - David J. Spiegelhalter; Steffen L. Lauritzen (Ann. Math. Artif. Intell., 1990)

Sequential updating of conditional probabilities on directed graphical structures. - David J. Spiegelhalter; Steffen L. Lauritzen (Networks, 1990)

Cytotoxic Chemotherapy Monitoring Using Stochastic Simulation on Graphical Models. - Riccardo Bellazzi; Carlo Berzuini; Silvana Quaglini; David J. Spiegelhalter; Mark Leaning (AIME, 1991)

Bayesian Networks Applied to Therapy Monitoring. - Carlo Berzuini; David J. Spiegelhalter; Riccardo Bellazzi (UAI, 1991)

A Bayesian expert system for the analysis of an adverse drug reaction. - Robert G. Cowell; A. Philip Dawid; T. Hutchinson; David J. Spiegelhalter (Artif. Intell. Medicine, 1991)

Bayesian networks for patient monitoring. - Carlo Berzuini; Riccardo Bellazzi; Silvana Quaglini; David J. Spiegelhalter (Artif. Intell. Medicine, 1992)

Sequential Model Criticism in Probabilistic Expert Systems. - Robert G. Cowell; A. Philip Dawid; David J. Spiegelhalter (IEEE Trans. Pattern Anal. Mach. Intell., 1993)

Machine Learning, Neural and Statistical Classification - Donald Michie; David J. Spiegelhalter; Charles C. Taylor (Ellis Horwood, 1994)

Hepatitis B: A Case Study in MCMC. - David J. Spiegelhalter; Nicky Best; W. R. Gilks; H. Inskip (Learning in Graphical Models, 1998)

WinBUGS - A Bayesian modelling framework: Concepts, structure, and extensibility. - David J. Lunn; Andrew Thomas; Nicky Best; David J. Spiegelhalter (Stat. Comput., 2000)

VIBES: A Variational Inference Engine for Bayesian Networks. - Christopher M. Bishop; David J. Spiegelhalter; John M. Winn (NIPS, 2002)

Dopaminergic effects on electrophysiological and functional MRI measures of human cortical stimulus-response power laws. - Owen J. Arthurs; C. M. E. Stephenson; K. Rice; V. C. Lupson; David J. Spiegelhalter; S. J. Boniface; Edward T. Bullmore (NeuroImage, 2004)

Probabilistic Networks and Expert Systems - Exact Computational Methods for Bayesian Networks. - Robert G. Cowell; A. Philip Dawid; Steffen L. Lauritzen; David J. Spiegelhalter (Springer, 2007)

An Empirical Approximation to the Null Unbounded Steady-State Distribution of the Cumulative Sum Statistic. - Olivia A. Grigg; David J. Spiegelhalter (Technometrics, 2008)

Comment: Citation Statistics - David J. Spiegelhalter; Harvey Goldstein (CoRR, 2009)

Bayesian statistics. - David J. Spiegelhalter; Kenneth M. Rice (Scholarpedia, 2009)

Bayesian Networks Aplied to Therapy Monitoring - Carlo Berzuini; David J. Spiegelhalter; Riccardo Bellazzi (CoRR, 2013)

How old are you, really? Communicating chronic risk through 'effective age' of your body and organs. - David J. Spiegelhalter (BMC Medical Informatics Decis. Mak., 2016)