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Matthew P. Wand
Person information
- affiliation: University of Technology Sydney, Australia
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2020 – today
- 2023
- [j13]Marianne Menictas, Gioia Di Credico, Matt P. Wand
:
Streamlined Variational Inference for Linear Mixed Models with Crossed Random Effects. J. Comput. Graph. Stat. 32(1): 99-115 (2023) - 2020
- [j12]Tui H. Nolan, Marianne Menictas, Matt P. Wand:
Streamlined Variational Inference with Higher Level Random Effects. J. Mach. Learn. Res. 21: 157:1-157:62 (2020)
2010 – 2019
- 2018
- [c4]George Geoffrey Michaelson, Matthew Roughan, Jonathan Tuke, Matt P. Wand
, Randy Bush:
Rasch Analysis of HTTPS Reachability. Networking 2018: 1-9 - 2017
- [i1]George Michaelson, Matthew Roughan, Jonathan Tuke, Matt P. Wand, Randy Bush:
Rigorous statistical analysis of HTTPS reachability. CoRR abs/1706.02813 (2017) - 2016
- [j11]David Rohde, Matt P. Wand:
Semiparametric Mean Field Variational Bayes: General Principles and Numerical Issues. J. Mach. Learn. Res. 17: 172:1-172:47 (2016) - [j10]Eugene Dubossarsky, Jerome H. Friedman, John T. Ormerod, Matthew P. Wand
:
Wavelet-based gradient boosting. Stat. Comput. 26(1-2): 93-105 (2016) - 2014
- [j9]Matt P. Wand:
Fully simplified multivariate normal updates in non-conjugate variational message passing. J. Mach. Learn. Res. 15(1): 1351-1369 (2014) - 2013
- [j8]Tung H. Pham
, John T. Ormerod, Matthew P. Wand
:
Mean field variational Bayesian inference for nonparametric regression with measurement error. Comput. Stat. Data Anal. 68: 375-387 (2013) - 2012
- [j7]John T. Ormerod, Matthew P. Wand
:
Comment. Technometrics 54(3): 233-236 (2012) - 2010
- [j6]Ulrike Naumann, George Luta
, Matthew P. Wand
:
The curvHDR method for gating flow cytometry samples. BMC Bioinform. 11: 44 (2010) - [j5]Göran Kauermann, John T. Ormerod, Matthew P. Wand
:
Parsimonious Classification Via Generalized Linear Mixed Models. J. Classif. 27(1): 89-110 (2010)
2000 – 2009
- 2009
- [j4]Raphael Gottardo
, Ryan Remy Brinkman, George Luta
, Matthew P. Wand
:
Recent Bioinformatics Advances in the Analysis of High Throughput Flow Cytometry Data. Adv. Bioinformatics 2009: 461763:1-461763:2 (2009) - 2008
- [j3]Tarn Duong
, Arianna Cowling, Inge Koch
, Matt P. Wand
:
Feature significance for multivariate kernel density estimation. Comput. Stat. Data Anal. 52(9): 4225-4242 (2008) - [j2]John T. Ormerod, Matthew P. Wand
, Inge Koch
:
Penalised spline support vector classifiers: computational issues. Comput. Stat. 23(4): 623-641 (2008) - 2007
- [j1]B. Ganguli, Matt P. Wand
:
Feature significance in generalized additive models. Stat. Comput. 17(2): 179-192 (2007) - 2002
- [c3]Eun-Young Kim, Qing T. Zeng, James Rawn, Matthew Wand, Alan J. Young, Edgar L. Milford, Steven J. Mentzer, Robert A. Greenes:
Using a neural network with flow cytometry histograms to recognize cell surface protein binding patterns. AMIA 2002 - [c2]Qing T. Zeng, Matthew Wand, Alan J. Young, James Rawn, Edgar L. Milford, Steven J. Mentzer, Robert A. Greenes:
Matching of flow-cytometry histograms using information theory in feature space. AMIA 2002 - 2001
- [c1]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:
Molecular identification using flow cytometry histograms and information theory. AMIA 2001
1990 – 1999
- 1995
- [b1]Matt P. Wand, M. Chris Jones:
Kernel Smoothing. Springer 1995, ISBN 978-1-4899-4493-1, pp. 1-171
Coauthor Index
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