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References
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P. S. Craig, M. Goldstein, A. H. Seheult, and J. A. Smith.
Bayes linear strategies for history matching of hydrocarbon
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B. de Finetti.
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B. de Finetti.
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B. de Finetti.
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M. Farrow and M. Goldstein.
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M. Farrow and M. Goldstein.
Bayes linear methods for grouped multivariate repeated measurement
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M. Farrow and M. Goldstein.
Diagnostic geometry for Bayes linear prediction systems.
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M. Goldstein.
Approximate Bayesian inference with incompletely specified prior
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M. Goldstein.
Approximate Bayesian solutions to some nonparametric problems.
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M. Goldstein.
A note on some Bayesian nonparametric estimates.
The Annals of Statistics, 3:736-740, 1975.
 
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M. Goldstein.
Bayesian analysis of regression problems.
Biometrika, 63:51-58, 1976.
 
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M. Goldstein.
The variance modified linear Bayes estimator.
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M. Goldstein.
The linear Bayes regression estimator under weak prior assumptions.
Biometrika, 67:621-628, 1980.
 
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M. Goldstein.
Revising previsions: a geometric interpretation.
J. R. Statist. Soc., B:43:105-130, 1981.
 
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M. Goldstein.
General variance modifications for linear Bayes estimators.
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M. Goldstein.
The prevision of a prevision.
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M. Goldstein.
Turning probabilities into expectations.
The Annals of Statistics, 12:1551-1557, 1984.
 
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M. Goldstein.
Temporal coherence.
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M. Goldstein.
Exchangeable belief structures.
J. Amer. Statist. Ass., 81:971-976, 1986.
 
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M. Goldstein.
Separating beliefs.
In P.K. Goel and A. Zellner, editors, Bayesian Inference and
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- 21
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M. Goldstein.
[B/D] introduction and overview.
Technical Report 1:5, University of Hull Mathematics Research
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M. Goldstein.
Can we build a subjectivist statistical package?
In R. Viertl, editor, Probability and Bayesian Statistics,
  pages 203-217. Plenum, New York, 1987.
 
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M. Goldstein.
Systematic analysis of limited belief specifications.
The Statistician, 36:191-199, 1987.
 
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M. Goldstein.
Adjusting belief structures.
J. R. Statist. Soc., B:50:133-154, 1988.
 
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M. Goldstein.
The data trajectory.
In J.-M. Bernardo et al., editors, Bayesian Statistics 3,
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M. Goldstein.
Influence and belief adjustment.
In J.Q. Smith and R.M. Oliver, editors, Influence Diagrams,
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M. Goldstein.
Belief transforms and the comparison of hypotheses.
The Annals of Statistics, 19:2067-2089, 1991.
 
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M. Goldstein.
Technical specifications for the North West Water sewerage
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Technical report, Department of Mathematical Sciences, University of
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M. Goldstein.
Belief revision: subjectivist principles and practice.
In D. Prawitz and D Westerstahl, editors, Logic and Philosophy
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- 30
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M. Goldstein.
Revising exchangeable beliefs: subjectivist foundations for the
  inductive argument.
In P. Freeman and A. F. M. Smith, editors, Aspects of
  Uncertainty: A Tribute to D. V. Lindley. Wiley, 1994.
 
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M. Goldstein.
Bayes linear methods I - Adjusting beliefs: concepts and
  properties.
Technical Report 1995/1, Department of Mathematical Sciences,
  University of Durham, 1995.
 
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M. Goldstein, M. Farrow, and T. Spiropoulos.
Prediction under the influence: Bayes linear influence diagrams for
  prediction in a large brewery.
The Statistician, 42(2):445-459, 1993.
 
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M. Goldstein and A. O'Hagan.
Bayes linear sufficiency and systems of expert posterior assessments.
J. R. Statist. Soc. B, 58(2):301-316, 1996.
 
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M. Goldstein and D. A. Wooff.
Robustness measures for Bayes linear analyses.
Journal of Statistical Planning and Inference,
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M. Goldstein and D. A. Wooff.
Bayes linear computation: concepts, implementation and programming
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Statistics and Computing, 5:327-341, 1995.
 
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M. Goldstein and D. A. Wooff.
Choosing sample sizes in balanced experimental designs: a Bayes
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The Statistician, 46(2):167-183, 1997.
 
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M. Goldstein and D. A. Wooff.
Adjusting exchangeable beliefs.
Biometrika, 85(1):39-54, 1998.
 
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G. H. Gonnet and R. Baeza-Yates.
Handbook of algorithms and data structures in Pascal and C.
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D. E. Knuth.
The art of computer programming, volume 1: Fundamental
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Addison-Wesley, Reading, Massachusetts, 2 edition, 1973.
 
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D. E. Knuth.
The art of computer programming, volume 2: Seminumerical
  algorithms.
Addison-Wesley, Reading, Massachusetts, 2 edition, 1981.
 
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A. O'Hagan.
Robust modeling for asset management.
Journal of Statistical Planning and Inference,
  40(2-3):245-255, 1994.
 
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J. Q. Smith and R. M. Oliver, editors.
Influence Diagrams, Belief Nets and Decision Analysis.
Wiley, Chichester, 1990.
 
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D. J. Wilkinson and M. Goldstein.
Bayes linear adjustment for variance matrices.
In J.-M. Bernardo et al., editors, Bayesian Statistics 5,
  pages 791-800, Oxford, 1996. University Press.
 
- 44
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D. J. Wilkinson and M. Goldstein.
Bayes linear covariance matrix adjustment for multivariate dynamic
  linear models.
In submission, 1996.
 
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Niklaus Wirth.
Algorithms and data structures.
Prentice-Hall, London, 1986.
 
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D. A. Wooff.
[B/D] reference manual.
Technical Report 1:6, University of Hull Mathematics Research
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D. A. Wooff.
[B/D] works.
In J.-M. Bernardo et al., editors, Bayesian Statistics 4,
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D. A. Wooff.
Bayes linear methods II - An example with an introduction to
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Technical Report 1995/2, Department of Mathematical Sciences,
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D. A. Wooff and M. Goldstein.
Bayes linear methods III - analysing Bayes linear influence
  diagrams and Exchangeability in [B/D].
Technical Report 1995/3, Department of Mathematical Sciences,
  University of Durham, 1995.
 
David Wooff 
Wed Oct 21 15:14:31 BST 1998