Matt Wand

About Matt Wand

Matt Wand, With an exceptional h-index of 64 and a recent h-index of 36 (since 2020), a distinguished researcher at University of Technology & Management, specializes in the field of Statistics.

His recent articles reflect a diverse array of research interests and contributions to the field:

High-Dimensional Bernstein Von-Mises Theorems for Covariance and Precision Matrices

Second term improvement to generalised linear mixed model asymptotics

Dispersion parameter extension of precise generalized linear mixed model asymptotics

Streamlined variational inference for linear mixed models with crossed random effects

Bayesian generalized additive model selection including a fast variational option

Fast approximate inference for multivariate longitudinal data

Real-time Semiparametric Regression via Sequential Monte Carlo

Package ‘hdrcde’

Matt Wand Information

University

Position

Distinguished Professor of Statistics

Citations(all)

32124

Citations(since 2020)

7504

Cited By

28545

hIndex(all)

64

hIndex(since 2020)

36

i10Index(all)

145

i10Index(since 2020)

83

Email

University Profile Page

University of Technology & Management

Google Scholar

View Google Scholar Profile

Matt Wand Skills & Research Interests

Statistics

Top articles of Matt Wand

Title

Journal

Author(s)

Publication Date

High-Dimensional Bernstein Von-Mises Theorems for Covariance and Precision Matrices

arXiv preprint arXiv:2309.08556

Partha Sarkar

Kshitij Khare

Malay Ghosh

Matt P Wand

2023/9/15

Second term improvement to generalised linear mixed model asymptotics

arXiv preprint arXiv:2303.17855

Luca Maestrini

Aishwarya Bhaskaran

Matt P Wand

2023/3/31

Dispersion parameter extension of precise generalized linear mixed model asymptotics

Statistics & Probability Letters

Aishwarya Bhaskaran

Matt P Wand

2023/2/1

Streamlined variational inference for linear mixed models with crossed random effects

Journal of Computational and Graphical Statistics

Marianne Menictas

Gioia Di Credico

Matt P Wand

2023/1/2

Bayesian generalized additive model selection including a fast variational option

AStA Advances in Statistical Analysis

Virginia X He

Matt P Wand

2023/12/15

Fast approximate inference for multivariate longitudinal data

Biostatistics

David M Hughes

Marta García-Fiñana

Matt P Wand

2023/1/1

Real-time Semiparametric Regression via Sequential Monte Carlo

arXiv preprint arXiv:2310.12391

Marianne Menictas

Chris J Oates

Matt P Wand

2023/10/19

Package ‘hdrcde’

Rob J Hyndman

Jochen Einbeck

Matthew Wand

Maintainer Rob J Hyndman

2022/10/13

Density estimation via Bayesian inference engines

AStA Advances in Statistical Analysis

MP Wand

JCF Yu

2022/6

Usable and precise asymptotics for generalized linear mixed model analysis and design

Journal of the Royal Statistical Society Series B: Statistical Methodology

Jiming Jiang

Matt P Wand

Aishwarya Bhaskaran

2022/2

gamselBayes: Bayesian generalized additive model selection including a fast variational option

Virginia X He

Matt P Wand

2022/1/10

Sparse linear mixed model selection via streamlined variational Bayes

Electronic Journal of Statistics

Emanuele Degani

Luca Maestrini

Dorota Toczydłowska

Matt P Wand

2022

Streamlined variational inference for higher level group-specific curve models

Statistical Modelling

M Menictas

TH Nolan

DG Simpson

MP Wand

2021/12

The Inverse G‐Wishart distribution and variational message passing

Australian & New Zealand Journal of Statistics

Luca Maestrini

Matt P Wand

2021/9

A variational inference framework for inverse problems

arXiv preprint arXiv:2103.05909

Luca Maestrini

Robert G Aykroyd

Matt P Wand

2021/3/10

Factor graph fragmentization of expectation propagation

Journal of the Korean Statistical Society

Wilson Y Chen

Matt P Wand

2020/9

New Approaches for Variable Selection in Longitudinal Studies: An Application to Genetic Association Studies and Bone Loss

Available at SSRN 3673629

Dorota Toczydlowska

Louise Ryan

Matt P Wand

Tuan Nguyen

2020/8/12

Streamlined solutions to multilevel sparse matrix problems

The ANZIAM Journal

Tui H Nolan

Matt P Wand

2020/1

Fast and accurate binary response mixed model analysis via expectation propagation

Journal of the American Statistical Association

Peter Hall

IM Johnstone

JT Ormerod

MP Wand

JCF Yu

2020/12/11

Streamlined variational inference with higher level random effects

Journal of Machine Learning Research

Tui H Nolan

Marianne Menictas

Matt P Wand

2020

See List of Professors in Matt Wand University(University of Technology & Management)

Co-Authors

H-index: 221
Joel Schwartz

Joel Schwartz

Harvard University

H-index: 100
Louise Ryan

Louise Ryan

University of Technology Sydney

H-index: 88
J. S. Marron

J. S. Marron

University of North Carolina at Chapel Hill

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