Matthew P. Wand

According to our database, Matthew P. Wand authored at least 19 papers between 1995 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Streamlined Variational Inference for Linear Mixed Models with Crossed Random Effects.

Marianne Menictas, Gioia Di Credico, Matt P. Wand

J. Comput. Graph. Stat., January, 2023

2020

Streamlined Variational Inference with Higher Level Random Effects.

Tui H. Nolan, Marianne Menictas, Matt P. Wand

J. Mach. Learn. Res., 2020

2018

Rasch Analysis of HTTPS Reachability.

George Geoffrey Michaelson, Matthew Roughan, Jonathan Tuke, Matt P. Wand, Randy Bush

Proceedings of the 17th International IFIP TC6 Networking Conference, 2018

2017

Rigorous statistical analysis of HTTPS reachability.

George Michaelson, Matthew Roughan, Jonathan Tuke, Matt P. Wand, Randy Bush

CoRR, 2017

2016

Wavelet-based gradient boosting.

Eugene Dubossarsky, Jerome H. Friedman, John T. Ormerod, Matthew P. Wand

Stat. Comput., 2016

Semiparametric Mean Field Variational Bayes: General Principles and Numerical Issues.

David Rohde, Matt P. Wand

J. Mach. Learn. Res., 2016

2014

Fully simplified multivariate normal updates in non-conjugate variational message passing.

Matt P. Wand

J. Mach. Learn. Res., 2014

2013

Mean field variational Bayesian inference for nonparametric regression with measurement error.

Tung H. Pham, John T. Ormerod, Matthew P. Wand

Comput. Stat. Data Anal., 2013

2012

Comment.

John T. Ormerod, Matthew P. Wand

Technometrics, 2012

2010

Parsimonious Classification Via Generalized Linear Mixed Models.

Göran Kauermann, John T. Ormerod, Matthew P. Wand

J. Classif., 2010

The curvHDR method for gating flow cytometry samples.

Ulrike Naumann, George Luta, Matthew P. Wand

BMC Bioinform., 2010

2009

Recent Bioinformatics Advances in the Analysis of High Throughput Flow Cytometry Data.

Raphael Gottardo, Ryan Remy Brinkman, George Luta, Matthew P. Wand

Adv. Bioinformatics, 2009

2008

Penalised spline support vector classifiers: computational issues.

John T. Ormerod, Matthew P. Wand, Inge Koch

Comput. Stat., 2008

Feature significance for multivariate kernel density estimation.

Tarn Duong, Arianna Cowling, Inge Koch, Matt P. Wand

Comput. Stat. Data Anal., 2008

2007

Feature significance in generalized additive models.

B. Ganguli, Matt P. Wand

Stat. Comput., 2007

2002

Matching of flow-cytometry histograms using information theory in feature space.

Qing T. Zeng, Matthew Wand, Alan J. Young, James Rawn, Edgar L. Milford, Steven J. Mentzer, Robert A. Greenes

Proceedings of the AMIA 2002, 2002

Using a neural network with flow cytometry histograms to recognize cell surface protein binding patterns.

Eun-Young Kim, Qing T. Zeng, James Rawn, Matthew Wand, Alan J. Young, Edgar L. Milford, Steven J. Mentzer, Robert A. Greenes

Proceedings of the AMIA 2002, 2002

2001

Molecular identification using flow cytometry histograms and information theory.

Qing T. Zeng, Alan J. Young, Aziz A. Boxwala, James Rawn, W. Long, Matthew Wand, Mikhail Salganik, Edgar L. Milford, Steven J. Mentzer, Robert A. Greenes

Proceedings of the AMIA 2001, 2001

1995

Kernel Smoothing

Matt P. Wand, M. Chris Jones

Springer, ISBN: 978-1-4899-4493-1, 1995