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Mathematics
Australia
2026

D-Index & Metrics

Mathematics

D-Index
62
Citations
24229
World Ranking
461
National Ranking
12

Research.com Recognitions

  • 2026 - Research.com Mathematics in Australia Leader Award
  • 2000 - Fellow of the American Statistical Association (ASA)

Overview

Matt P. Wand is affiliated with the University of Technology Sydney in Australia. Their research spans primarily the fields of Mathematics and Computer Science, with a focus on Statistics and Probability as a prominent subfield. Other areas of specialization include Artificial Intelligence, Computer Vision and Pattern Recognition, Environmental Engineering, and Management Science and Operations Research.

The scientist's main research topics cover various aspects of statistical methodology and Bayesian approaches. These topics include Statistical Methods and Inference, Statistical Methods and Bayesian Inference, Bayesian Methods and Mixture Models, Gaussian Processes and Bayesian Inference, Advanced Statistical Methods and Models, Bayesian Modeling and Causal Inference, and Generative Adversarial Networks and Image Synthesis.

Their recent scholarly contributions include:

  • Usable and Precise Asymptotics for Generalized Linear Mixed Model Analysis and Design (2021), published in Journal of the Royal Statistical Society Series B (Statistical Methodology)
  • Streamlined Variational Inference for Linear Mixed Models with Crossed Random Effects (2022), published in Journal of Computational and Graphical Statistics
  • Fast approximate inference for multivariate longitudinal data (2021), published in Biostatistics
  • Streamlined variational inference for higher level group-specific curve models (2020), published in Statistical Modelling
  • A variational inference framework for inverse problems (2024), published in Computational Statistics & Data Analysis

Frequent collaborators include Luca Maestrini, Aishwarya Bhaskaran, Marianne Menictas, Tui H. Nolan, and Virginia X. He.

The scientist's publications have appeared in a variety of venues, with multiple works in arXiv (Cornell University). Other frequent publication venues are the Australian & New Zealand Journal of Statistics, AStA Advances in Statistical Analysis, SSRN Electronic Journal, and the Journal of the Royal Statistical Society Series B (Statistical Methodology).

Matt P. Wand was awarded the status of Fellow of the American Statistical Association (ASA) in 2000.

Best Publications

  • Semiparametric Regression: Example Index

    David Ruppert;M. P. Wand;R. J. Carroll

  • Multivariate Locally Weighted Least Squares Regression

    D. Ruppert;M. P. Wand

  • An Effective Bandwidth Selector for Local Least Squares Regression

    D. Ruppert;S. J. Sheather;M. P. Wand

  • Generalized Partially Linear Single-Index Models

    R. J. Carroll;Jianqing Fan;Irène Gijbels;M. P. Wand

  • Exact Mean Integrated Squared Error

    J. S. Marron;M. P. Wand

  • Explaining Variational Approximations

    J. T. Ormerod;M. P. Wand

  • Local polynomial kernel regression for generalized linear models and quasi-likelihood functions

    Jianqing Fan;Nancy E. Heckman;M. P. Wand

  • Multivariate plug-in bandwidth selection

    M. P. Wand;Chris Jones

  • Geoadditive models

    Unknown

  • Comparison of Smoothing Parameterizations in Bivariate Kernel Density Estimation

    M. P. Wand;M. C. Jones

  • Data-Based Choice of Histogram Bin Width

    M. P. Wand

  • Bayesian Analysis for Penalized Spline Regression Using WinBUGS

    Ciprian M. Crainiceanu;David Ruppert;Matthew P. Wand

  • Transformations in Density Estimation

    M. P. Wand;J. S. Marron;D. Ruppert

  • Smoothing and mixed models

    M. P. Wand

  • Generalized additive distributed lag models: quantifying mortality displacement

    A. Zanobetti;M. P. Wand;J. Schwartz;L. M. Ryan

  • Self-organization of bacterial biofilms is facilitated by extracellular DNA.

    Erin S. Gloag;Lynne Turnbull;Alan Huang;Pascal Vallotton

  • Local polynomial variance-function estimation

    David Ruppert;M. P. Wand;Ulla Holst;Ola Hössjer

  • Simple Marginally Noninformative Prior Distributions for Covariance Matrices

    Alan Huang;M. P. Wand

  • Semiparametric Estimation in Logistic Measurement Error Models

    R. J. Carroll;M. P. Wand

  • On semiparametric regression with O'Sullivan penalized splines

    M. P. Wand;J. T. Ormerod

  • Semiparametric regression during 2003–2007

    David Ruppert;M.P. Wand;Raymond J. Carroll

  • Semiparametric Regression: Preface

    David Ruppert;M. P. Wand;R. J. Carroll

Frequent Co-Authors

Raymond J. Carroll
Raymond J. Carroll Texas A&M University
David Ruppert
David Ruppert Cornell University
James Stephen Marron
James Stephen Marron University of North Carolina at Chapel Hill
Brent A. Coull
Brent A. Coull Harvard University
Russ Hauser
Russ Hauser Harvard University
David C. Christiani
David C. Christiani Harvard University
Robert A. Greenes
Robert A. Greenes Arizona State University
M. C. Jones
M. C. Jones The Open University
Matthew Roughan
Matthew Roughan University of Adelaide
John R. David
John R. David Harvard University

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