Abstracts of Conference Papers

Bolstad, W.M. (2001) Making the 21st Century Bayesian: Teaching Bayesian Statistics at First Year Level ISBA Bulletin.

Article

Bolstad, W.M. (1997) Monte Carlo Methods in Bayesian Statistics The New Zealand Statistician. Vol. 32, 2-22.

Bolstad, W.M. (1996) Comments on: Paradox or Paradigm The New Zealand Statistician. Vol. 31 7-9.

Bolstad, W.M. (1995) The Multiprocess Dynamic Poisson Model Journal of the American Statistical Association 90, 429 227-232.

Bolstad, W.M. (1993) Finding the Initial Prior Distribution in the Multiprocess Dynamic Linear Trend Model with Dummy Seasonal Effects by Backcasting in the Time-reversed Model ASA Proceedings Business and Economics Section.

Bolstad, W.M. (1992) Multiprocess Dynamic Linear Model for Statistical Process Control ASA Proceedings Quality and Productivity Section.

Bolstad, W.M. (1992) Robust Bayesian estimation using a variable mixture of conjugate family members The New Zealand Statistician Vol. 27 15-22.

Bolstad, W.M. (1990) The efficiency of dynamic linear model estimators applied to a linearly aggregated time series Comm. in Statistics Theory and Methods 19(1), 83-90.

Bolstad, W.M. (1988) Estimation in the multiprocess dynamic generalized linear model Comm. in Statistics: Theory and Methods. 17(12), 4179-4204.

Bolstad, W.M. (1988) The multiprocess dynamic linear model with biased perturbations: a real time model for growth hormone level Biometrika. 75(4), 685-692.

Bolstad, W.M. (1987) An Estimation Method for the Seemingly Unrelated Regression Model with Contemporaneous Covariances based on an Efficient Recursive Algorithm Communications in Statistics, Simulation and Computation. Vol. 16. No 3 689-698.

Bolstad, W.M. (1986) An Efficient Algorithm for Harrison-Stevens Forecasting using the Multiprocess Dynamic Linear Model Communications in Statistics, Simulation and Computation. Vol. 15 No. 3 819-828.

Bolstad, W.M. (1986) Harrison-Stevens Forecasting and the Multiprocess Dynamic Linear Model The American Statistician Vol 40. No. 2 129-136.

Bradshaw, B., Dell., P.M., Healy, T., and Bolstad, W.M. Inner shelf dynamics on a storm dominated coast, East Coromandel, New Zealand Journal for Coastal Research 7(1), 11-30.

Articles in Refereed Journals

Bolstad, W.M. and Manda, S. (2001) Investigating Child Mortality in Malawi using Family and Community Random Effects: A Bayesian Analysis Journal of the American Statistical Association Vol. 96.

Bolstad, W.M., Hunt, L.A., McWhirter, J.L. (2001) Sex, Drugs and Rock & Roll survey in a First year service course in statistics The American Statistician 55, 145-149.

Books

Bolstad, W. M. (2010) Understanding Computational Bayesian Statistics John Wiley & Sons, New York

A hands-on introduction to computational statistics from a Bayesian point of view. Providing a solid grounding in statistics while uniquely covering the topics from a Bayesian perspective. Understanding Computational Bayesian Statistics successfully guides readers through this new, cutting-edge approach. With its hands-on treatment of the topic, the book shows how samples can be drawn from the posterior distribution when the formula givings its shape is all that is known, and how Bayesian inferences can be based on these samples from the posterior. These ideas are illustrated on common statistical models, including the multiple linear regression model, the hierarchical mean model, the logistic regression model and the proportional hazards model.

Bolstad, W.M. (2007) Introduction to Bayesian Statistics: (Second Edition) (Wiley)

Bolstad, W.M. (2004) Introduction to Bayesian Statistics Wiley

Ed. Vols. of Conference Proceedings

Bolstad, W.M. (2005) An Efficient Mixture-based Shrinkage Estimator: A Monte Carlo Analysis. Edited proceedings of ASA Joint Statistical Meeting - Bayesian Section, Minneapolis 2005 Abstract Book

Other Creative Works

Bolstad, W.M. (2007) Bayesian analysis using Minitab macros www.minitab.com/support/macros/macrolinks.aspx

Papers in Conference Proceedings

Bolstad, W.M. (2002) Teaching Bayesian Statistics to Undergraduates: Who, What, Where, When, Why and How. International Conference on Teaching Statistics (ICOTS6), Cape Town.

Reviews

Bolstad, W.M. (2007) Bayesian Process Monitoring Control and Optimization by Bianca M. Colosimo & Enrique del Castillo

Bolstad, W.M. (2005) Bayesian Nonparametrics via Neural Networks by Herbert H.K. Lee. (SIAM, Philadephia, 2004.) SIAM REVIEW Vol.47 No.4 pp 810-812

Bolstad, W.M. (2005) Most Honourable Remembrance: The Life and Work of Thomas Bayesby Andrew Dale. (Springer-Verlag, New York, 2003). SIAM REVIEW Vol.47 No.2 pp 369-410