Under consideration for publication or in press

Neville, S.E., Palmer, M.J. and Wand, M.P.
Generalized Extreme Value Additive Model Analysis via Mean Field Variational Bayes.
[PDF file]

Ormerod, J.T. and Wand, M.P.
Gaussian Variational Approximate Inference for Generalized Linear Mixed Models.
[PDF file]

Published in 2011

Hall, P., Pham, T., Wand, M.P. and Wang, S.S.J.
Asymptotic Normality and Valid Inference for Gaussian Variational Approximation.
The Annals of Statistics, (2011), 39, 2502-2532.
[PDF file]

Faes, C., Ormerod, J.T. and Wand, M.P.
Variational Bayesian Inference for Parametric and Nonparametric Regression with Missing Data.
Journal of the American Statistical Association, (2011), 106, 959-971.
[PDF file]

Hall, P., Ormerod, J.T. and Wand, M.P.
Theory of Gaussian Variational Approximation for a Generalised Linear Mixed Model.
Statistica Sinica, (2011), 21, 269-389.
[PDF file]

Chacon, J.E., Duong, T. and Wand, M.P.
Asymptotics for General Multivariate Kernel Density Derivative Estimators.
Statistica Sinica, (2011), 21, 807-840.
[PDF file]

Wand, M.P., Ormerod, J.T., Padoan, S.A. and Fruhwirth, R.
Mean Field Variational Bayes for Elaborate Distributions.
Bayesian Analysis, (2011), 6, Number 4, 847-900.
[PDF file]

Wang, S.S.J and Wand, M.P.
Using Infer.NET for Statistical Analyses.
The American Statistician, (2011), 65, 115-126.
[PDF file]

Wand, M.P. and Ormerod, J.T.
Penalized Wavelets: Embedding Wavelets into Semiparametric Regression.
Electronic Journal of Statistics, (2011), 5, 1654--1717.
[PDF file (article)] [ZIP archive file (computer code)]

Goldsmith, J., Wand, M.P. and Crainiceanu, C.
Functional Regression via Variational Bayes.
Electronic Journal of Statistics, (2011), 5, 572--602.
[PDF file]

Published in 2010

Marley, J.K. and Wand, M.P.
Non-Standard Semiparametric Regression via BRugs.
Journal of Statistical Software, (2010), Volume 37, Issue 5, 1-30.
[ PDF file; Code and Data Files]

Al Kadiri, M., Carroll, R.J. and Wand, M.P.
Marginal Longitudinal Semiparametric Regression via Penalized Splines.
Statistics and Probability Letters, (2010), 80, 1242-1252.
[PDF file]

Ormerod, J.T. and Wand, M.P.
Explaining Variational Approximations.
The American Statistician, (2010), 64, 140-153.
[PDF file]

Samworth, R.J. and Wand, M.P.
Asymptotics and Optimal Bandwidth Selection for Highest Density Region Estimation.
The Annals of Statistics, (2010), 38, 1767-1792.
[PDF file]

Naumann, U., Luta, G. and Wand, M.P.
The curvHDR Method for Gating Flow Cytometry Samples.
BMC Bioinformatics, (2010), 11:44, 1-13.
[PDF file]

Kauermann, G., Ormerod, J.T. and Wand, M.P.
Parsimonious Classification via Generalised Linear Mixed Models.
Journal of Classification, (2010), 27, 89-110.
[PDF file]

Published in 2009

Ruppert, D., Wand, M.P. and Carroll, R.J.
Semiparametric Regression During 2003-2007.
Electronic Journal of Statistics, (2009), 3, 1193-1256.
[PDF file]

Staudenmayer, J., Lake, E.E. and Wand, M.P.
Robustness for General Design Mixed Models Using the t-Distribution.
Statistical Modelling, (2009), 9, 235-255.
[PDF file]

Naumann, U. and Wand, M.P.
Automation in High-Content Flow Cytometry Screening.
Cytometry Part A, (2009), 75A, 789-797.
[PDF file]

Pearce, N.D. and Wand, M.P.
Explicit Connections between Longitudinal Data Analysis and Kernel Machines.
Electronic Journal of Statistics, (2009), 3, 797-823.
[PDF file]

Duong, T., Koch, I. and Wand, M.P.
Highest Density Difference Region Estimation with Application to Flow Cytometric Data.
Biometrical Journal, (2009), 51, 504-521.
[PDF file]

Wand, M.P.
Semiparametric Regression and Graphical Models.
[PDF file]
This article was published in Australian and New Zealand
Journal of Statistics, 2009; 51: 9 to 41, available online
at Blackwell Synergy (www.blackwell-synergy.com).

Ormerod, J.T. and Wand, M.P.
Comment on Paper by Rue, Martino and Chopin.
Journal of the Royal Statistical Society, Series B, (2009), 71, 377-378.
[PDF file]

Published in 2008

Fan, Y., Leslie, D.S. and Wand, M.P.
Generalised Linear Mixed Model Analysis via Sequential Monte Carlo Sampling.
Electronic Journal of Statistics, (2008), 2, 916-938.
[ PDF file]

Duong, T., Cowling, A., Koch, I. and Wand, M.P.
Feature Significance for Multivariate Kernel Density Estimation.
Computational Statistics and Data Analysis, (2008), 52, 4225-4242
[PDF file]

Kuo, F., Dunsmuir, W.T.M., Sloan, I.H., Wand, M.P. and Womersley, R.S.
Quasi-Monte Carlo for Highly Structured Generalised Response Models.
Methodology and Computing in Applied Probability, (2008), 10, 239-275.
[PDF file]

Smith, A.D.A.C. and Wand, M.P.
Streamlined Variance Calculations for Semiparametric Mixed Models.
Statistics in Medicine, (2008), 27, 435-448.
[ PDF file] [Appendix code]

Wand, M.P. and Ormerod, J.T.
On Semiparametric Regression with O'Sullivan Penalised Splines.
This article was published in Australian and New Zealand
Journal of Statistics, 2008; 50: 179 to 198, available online
at Blackwell Synergy (www.blackwell-synergy.com).
[PDF file] [Correction notice (PDF file)] [Appendix code]

Ormerod, J.T., Wand, M.P. and Koch, I.
Penalised Spline Support Vector Classifiers: Computational Issues.
Computational Statistics, (2008), 23, 623-641.
[PDF file]

Padoan, S.A. and Wand, M.P.
Mixed Model-based Additive Models for Sample Extremes.
Statistics and Probability Letters, (2008), 78, 2850-2858.
[PDF file]

Published in 2007

Wand, M.P.
Fisher Information for Generalised Linear Mixed Models.
Journal of Multivariate Analysis, (2007), 98, 1412-1416.
[PDF file]

Ganguli, B. and Wand, M.P.
Feature significance in generalized additive models.
Statistics and Computing, (2007). 17, 179-192.
[ PDF file]

Published in 2006

Wand, M.P.
Support Vector Machine Classification.
[PDF file] [ co lo ur version PDF file]

Pearce, N.D. and Wand, M.P.
Penalised Splines and Reproducing Kernel Methods.
The American Statistician, (2006), 60, 233-240.
[ PDF file]

Zhao, Y., Staudenmayer, J., Coull, B.A. and Wand, M.P.
General Design Bayesian Generalized Linear Mixed Models.
Statistical Science, (2006), 21, 35-51.
[PDF file]

Ganguli, B. and Wand, M.P.
Additive Models for Geo-Referenced Failure Time Data.
Statistics in Medicine, 2004, 25, 2469-2482.
[PDF file]

Published in 2005

Crainiceanu, C., Ruppert, D. and Wand, M.P.
Bayesian Analysis for Penalized Spline Regression Using WinBUGS.
Volume 14, 2005, Issue 14 of Journal of Statistical Software, 1-24.
[PDF file]

Ganguli, B., Staudenmayer, J. and Wand, M.P.
Additive Models with Predictors Subject to Measurement Error.
[PDF file]
This article was published in Australian and New Zealand
Journal of Statistics, 2005; 47: 193 to 202, available online
at Blackwell Synergy (www.blackwell-synergy.com).

Durban, M., Harezlak, J., Wand, M.P. and Carroll, R.J.
Simple Fitting of Subject-specific Curves for Longitudinal Data.
Statistics in Medicine, (2005), 24, 1153-1167.
[PDF file]

Crainiceanu, C., Ruppert, D., Claeskens, G. and Wand, M.P.
Exact Likelihood Ratio Tests for Penalised Splines.
Biometrika, (2005), 92, 91-103.
[PDF file]

Salganik, M.P., Milford, E.L., Hardie, D.L., Shaw, S. and Wand, M.P.
Classifying Antibodies using Flow Cytometry Data: Class Prediction and Class Discovery.
Biometrical Journal, (2005), 47, 740-745.
[PDF file]

Ganguli, B. and Wand, M.P.
SemiPar 1.0 Users' Manual.
[PDF file]

Published in 2004

Salganik, M.P., Wand, M.P. and Lange, N.
Comparison of Feature Significance Quantile Approximations.
[PDF file]
This article was published in Australian and New Zealand
Journal of Statistics, 2004; 46: 569 to 581, available online
at Blackwell Synergy (www.blackwell-synergy.com).

Ganguli, B. and Wand, M.P.
Feature Significance in Geostatistics.
Journal of Computational and Graphical Statistics, 2004.
13, 954-973
[PDF file]

Ngo, L. and Wand, M.P. (2004).
Smoothing with Mixed Model Software.
Volume 9, 2004, Issue 1 of Journal of Statistical Software, 1-54.
[paper, code and data]

Published in 2003

Kammann, E.E. and Wand, M.P. (2003).
Geoadditive Models. Applied Statistics,, 52, 1-18.
[PDF file]

Wand, M.P. (2003).
Smoothing and Mixed Models. Computational Statistics, 18, 223-249.
[PDF file]

Published in 2002

Wand, M.P. (2002).
Vector Differential Calculus in Statistics. The American Statistician, 56, 55-62.
[PDF file]

Published in 1995

Aldershof, B., Marron, J.S., Park, B.U. and Wand, M.P.
Facts About the Gaussian Probability Density Function.
Applicable Analysis,1995, 59, 289-306.
[PDF file]

Published in 1994

Wand, M.P. and Jones, M.C.
Multivariate Plug-in Bandwidth Selection.
Computational Statistics, 9, 97-116.
[PDF file]