Technical Reports

1. The proportional-odds model
   In Encyclopedia of Biostatistics.
2. Linear models, vector spaces and residual likelihood
   In Modelling Longitudinal and Spatially Correlated Data, (1996) Gregoire et al, editors. Springer Lecture Notes No. 122, pp 1-10.
3. Re-sampling and exchangeable arrays
   Bernoulli vol 6 (2000) 285-301.
4. Invariance and factorial models (RSS discussion paper, Oct 13 1999) reply
   J. Roy. Statist. Soc. B vol 62 (2000) 209-256.
5. Operators for homologous factors
   
6. Category representations and factorial models
   
7. Quotient spaces and statistical models
   Canadian J. Statist. (1999) vol 27 447-456.
8. The algebraic structure of generalized linear models
   
9. What is a statistical model?
   Annals of Statistics 2002, vol 30, pages 1225-1310 (with discussion).
10. Statistical models for Monte Carlo integration (RSS discussion paper, December 11, 2002)
    
11. Quasi-symmetry and representation theory
    Annales de la Faculte des Sciences de Toulouse 2002, 541-561.
    
12. Marginal likelihood for Gaussian models
    (superseded by 13, 22 and 23 below)
    
13. How oats and beans and barley grow. (joint with D. Clifford).
    Proc R. Soc. (Lond) (2006, vol 462, pages 2119-2143).
    
14. John Wilder Tukey 1915-2000
    Biographical Memoirs of the Royal Society of London. vol 49, pages 537-555
    
15. Exchangeability and regression models
    In `Celebrating Statistics' Papers in Honour of Sir David Cox on his 80th Birthday.
    
16. Fiducial prediction
    (superseded by 27 below)
    
17. Estimating the number of unseen species: Introduction to Efron and Thisted (1977)
    
18. Prediction and density estimation
    
19. The permanent point process (joint with J. Moller)
    Advances in Applied Probability 2006 \vol38, 873-888
    
20. Stochastic classification models (joint with J. Yang)
    Proc. Int. Congress of Mathematicians, Madrid III, (2006) 669-686.
    
21. How many clusters? (joint with J. Yang)
    Bayesian Analysis, vol3, 1-19.
    
22. Structured covariance matrices in multivariate regression models   TreeFit.R
    (superseded by 23 below)
    
23. Marginal likelihood for parallel series
    Bernoulli, 2008 vol14, 593-603.
    
24. Marginal likelihood for distance matrices
    Statistica Sinica, 2009, vol19, 631-649
    
25. Sampling bias in binary random-effects models (with discussion)
    J. Roy. Statist. Soc. B (2008), vol70 643-677.   poster
    
26. Gibbs fragmentation trees (Joint with J. Pitman and M. Winkel)
    Bernoulli 14, 2008, 988-1002.
    
27. Approximating the alpha-permanent (Joint with S. Kou)
    Biometrika 2009 vol96, 635-644.   Test matrices     Test matrices (text format)
    
28. Conditional prediction intervals for linear regression. (Joint with V. Vovk, I. Nouretdinov, D. Devetyarov and A. Gammerman) International Conference on Machine Learning and Applications (2009), 131--138.
    
29. Bayes's theorem for improper mixtures (Joint work with Han Han) Annals of Statistics (2011) 39, 2007-2020.
    
30. Random permutations and partition models Encyclopedia of Statistical Sciences, 2010, Miodrag Lovric, editor. DOI 10.1007/978-3-642-04898-2, Springer-Verlag, Berlin.
    
31. Cumulants and partition lattices. Introduction to chapter 6 of Selected works of Terry Speed. Springer 2012.
32. An asymptotic approximation for the permanent of a doubly stochastic matrix. J.Statistical Computing and Simulation (2012) 1-11.
    
33. Natural statistics for spectral samples (joint with E. DiNardo and D. Senato) Annals of Statistics 2013, 41, 982-1004. arXiv:1302.5892v2
34. Survival models and health sequences    R code for section 6