Statistical Inference: an Integrated Bayesian/Likelihood Approach, Chapman and Hall/CRC Press (in preparation, 2009).
My new book is well on the way! Here is the Chapman and Hall/CRC announcement, with two draft chapters (Chapter1 and Chapter3) of the book - any comments would be welcome!
Professional Associations, Memberships & Awards:
- 1971-2 Fulbright Senior Fellow, Educational Testing Service, Princeton
- 1976-9 Social Science Research Council Professorial Fellow, University of Lancaster
- 1982 Elected Member, International Statistical Institute
- 1984 Fellow, American Statistical Association
- 1992-6 Australian Research Council Senior Research Fellow, Australian National University and University of Western Australia
- DSc Sydney University 1997
- Member, Biometric Society, Royal Statistical Society
Editorial Consultation
- Consulting Editor, Multivariate Behavioral Research
- Editorial Advisory Board, Statistical Modelling: An International Journal
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Former Associate Editor of:
- Journal of the Royal Statistical Society Series B
- Psychometrika
- British Journal of Mathematical and Statistical Psychology
- Journal of Educational Statistics
- Biometrics
National and International Activities
- Editorial Board of Statistical Modelling: An International Journal.
- Advisor to the National Center for Education Statistics, US Office of Education.
Brief CV
Current and Recent Funded Research
US Department of Education 2003-2009
I have been working since 2003 with Irit Aitkin, in a series of research contracts with the US National Center for Education Statistics, on the development and implementation of fully model-based approaches to the analysis of the large-scale US National Assessment of Educational Progress (NAEP) surveys of primary and high-school students' achievement. We have developed multi-level model-based approaches for the clustered and stratified survey designs, examined alternative distributions for the latent ability, and formulated alternative latent class models for guessing, or "engagement" on the test items. For each of these developments, we have compared the results of the model-based approach with the current methods of analysis using both simulated and actual NAEP data.
A detailed description of this approach, its principles and a summary of each project can be found here.Australian Research Council (ARC) 2005-2008
The ARC supported a Discovery project 2005-8 on Bayesian and likelihood approaches to finite mixture, random effect and multinomial models, on which Irit Aitkin worked part-time with me. The project also supported Charles Liu briefly. This project led to the development of the integrated Bayesian/likelihood approach to statistical inference set out in the book and in research papers Journal of Mathematical Psychology 2008 and Annals of Applied Statistics 2009 with Charles Liu.
Research interests:
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Likelihood Theory
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Statistical Computing
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Generalised Linear Models
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Random Effect Models
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Finite Mixtures
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Neural Network Models
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Item response models
Consulting interests
Teaching interests:
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General linear modelling
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Introductory service courses for non-mathematics students
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The first course in mathematical statistics
Selected Publications
Full CV
Department of Mathematics and Statistics home page
Last modified:
Thu Mar 26 2009
Teaching interests:
- General linear modelling
- Introductory service courses for non-mathematics students
- The first course in mathematical statistics
Selected Publications