Maestrini, L. and Wand, M.P.
Variational Approximations for Frequentist and Bayesian Inference.
In A. Abbruzzo, D. Piacentino, M. Chiodi and E. Brentari (editors),
Proceedings of the 49th Scientific Meeting of the Italian Statistical Society,
Palermo, Italy, (2018), pp. 1-6.
[PDF file]

Michaelson, G., Roughan, M., Tuke, J., Wand, M.P. and Bush, R.
Rasch Analysis of HTTPS Reachability.
In Proceedings of International Federation for Information Processing Networking 2018,
Zurich, Switzerland, (2018), pp. 1-10.
[PDF file]

Neville, S.E. and Wand, M.P.
Generalised Extreme Value Geoadditive Models via Variational Bayes.
In Proceedings of the First Conference on Spatial Statistics 2011
- Mapping Global Change, Twente, The Netherlands:
Procedia Environmental Sciences, (2011), 3, pp. 8-13.
[PDF file]

Ormerod, J.T. and Wand, M.P.
Variational Approximations for Logistic Mixed Models.
In Proceedings of the Ninth Iranian Statistics Conference,
Department of Statistics, University of Isfahan, Isfahan, Iran, (2011), pp. 450-467.
[PDF file]

Cowling, A., Duong, T., Koch, I. and Wand, M.P.
Feature Significance for Multivariate Data and Kernel Density Estimation.
In Proceedings of the Eighth Workshop on Nonparametric Statistical Analysis
Pand Related Areas,
Keio University, Tokyo, Japan, (2006), pp. 34-42.
[PDF file ]

Ormerod, J.T., Wand, M.P. and Koch, I..
Penalised Spline Support Vector Classifiers: Computational Issues.
In Proceedings of the 20th International Workshop on Statistical Modelling,
Sydney, Australia, (2005), pp. 33-47.
[PDF file]

Kim, E.-Y., Zeng, Q., Rawn, J., Wand, M., Young, A.J.,
Milford, E.L, Mentzer, S.J. and Greenes, R.A.
Using a Neural Network with Flow Cytometry Histograms to Recognize
Cell Surface Protein Binding Patterns.
In Proceedings, American Medical Informatics Association Annual
Fall Symposium, (2002), pp. 380-384.
[PDF file]

Zeng, Q., Wand, M., Young, A.J., Rawn, J., Milford, E.L.,
Mentzer, S.J. and Greenes, R.A.
Matching Flow-Cytometry Histograms using Information Theory
in Feature Space.
In Proceedings, American Medical Informatics Association Annual
Fall Symposium, (2002), pp. 929-933.
[PDF file]

Zeng, Q., Young, A.J., Boxwala, A., Rawn, J., Long, W., Wand, M.,
Salganik, M., Milford, E.L., Mentzer, S.J. and Greenes, R.A.
Medical Identification using Flow Cytometry Histograms and Information Theory.
In Proceedings, American Medical Informatics Association Annual
Fall Symposium, (2001), pp. 776-780.
[PDF file]

Claeskens, G., Aerts, M. and Wand, M.P.,
Some Results on Penalized Spline Estimation in Generalized Additive
and Semiparametric Models.
In Proceedings of the 52nd Session of the International Statistical
Institute, Helsinki, Finland (1999), pp. 776-780.
[PDF file]

Marron, J.S., Turlach, B.A. and Wand, M.P.,
Local Polynomial Smoothing Under Qualitative Constraints.
In L. Billard and N.I. Fisher (editors),
Graph-Image-Vision, Vol. 28 of Computing Science and Statistics,
Interface Foundation of North America, Inc., Fairfax Station, Virginia,
U.S.A. (1997), pp. 647-652.
[PDF file]

Opsomer, J.D., Ruppert, D., Wand, M.P., Holst, U. and Hössjer, O.
An Application of Kriging with Nonparametric Variance Function Estimation.
In 1997 Proceedings of the Biometrics Section,
American Statistical Association, Alexandria, Virginia
U.S.A. (1997), pp. 647-652.
[PDF file]