# Professor Matt Wand

### Biography

Professor Matt Wand is a Distinguished Professor of Statistics at University of Technology, Sydney.

His latest research outputs are available on the website: http://matt-wand.utsacademics.info

He has held faculty appointments at Harvard University, Rice University, Texas A&M University, University of New South Wales and University of Wollongong. In 2008 Professor Wand became an elected Fellow of the Australian Academy of Science. He also has been awarded the two Australian Academy of Science honorific awards for statistical research: the Moran Medal in 1997 for outstanding research by scientists under the age of 40 and the Hannan Medal in 2013 for career research in statistical science. In 2013 he was awarded the University of Technology Sydney, Chancellor's Medal for Exceptional Research. He received the 2013 Pitman Medal from the Statistical Society of Australia in recognition of outstanding achievement in, and contribution to, the discipline of Statistics. Professor Wand is an elected fellow of the American Statistical Association and the Institute of Mathematical Statistics.

Professor Wand has co-authored two books and more than 100 papers in statistics journals. He has six packages in the R language on the Comprehensive R Archive Network.

In 2002 Professor Wand was ranked 23 among highly cited authors in mathematics and statistics for the period 1991–2001. He is also a member of the ‘ISI Highly Cited Researchers’ list. Since 2000 Professor Wand has been principal investigator on seven major grants. A recent one, an Australian Research Council Discovery Project, is titled ‘Semiparametric Regression for Streaming Data’ and will run for the years 2015–2017. Another is the `Centre of Excellence for Mathematical and Statistical Frontiers of Big Data, Big Models, New Insights' and is running during 2014-2020.

For more information visit his personal website matt-wand.utsacademics.info.

### Professional

Matt serves as an associate editor for the Statistics journal: *Australian and New Zealand Journal of Statistics.*

He has previously served as an associate editor for the *Journal of the American Statistical Association*, *Biometrika* and *Statistica Sinica*.

He also participates in committee work within the Australian Academy of Science.

**Distinguished Professor,**School of Mathematical and Physical Sciences

**Phone**

### Research Interests

Professor Wand is chiefly interested in the development of statistical methodology for finding useful structure in large multivariate data sets.

Currently, Matt’s specific interests include: variational approximate methods, statistical methods for streaming data, generalised linear mixed models, semiparametric regression, spatial statistics, multivariate density estimation and feature significance.

He is also very interested in Statistical Computing and contributes to the field's main software repository — the ‘Comprehensive R Archive Network’.

Recent research by Wand and co-authors on real-time semiparametric regression is described on the Real-time Semiparametric Regression website (opens an external site).

**Can supervise:**Yes

35393 Seminar (Statistics)

## Books

*Semiparametric Regression*, 1, Cambridge University Press, New York.

*Kernel Smoothing*, First, Chapman and Hall, London.

## Conferences

*Procedia Environmental Sciences*, pp. 8-13.

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## Journal articles

*Statistics and Computing*, vol. 26, no. 1-2, pp. 93-105.

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*Statistics in Medicine*, vol. 35, no. 2, pp. 165-188.

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*Australian and New Zealand Journal of Statistics*, vol. 57, no. 1, pp. 119-138.

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*Ecological Complexity*, vol. 23, pp. 73-84.

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*Journal of Computational and Graphical Statistics*, vol. 23, no. 3, pp. 589-615.

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*Electronic Journal of Statistics*, vol. 8, pp. 1113-1151.

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*Journal of Machine Learning Research*, vol. 15, pp. 1351-1369.

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*Proceedings of the National Academy of Sciences of the United States of America*, vol. 110, no. 28, pp. 11541-11546.

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*Bayesian Analysis*, vol. 8, no. 2, pp. 439-452.

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*Stat*, vol. 2, no. 1, pp. 61-71.

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*Computational Statistics and Data Analysis*, vol. 68, pp. 375-387.

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*Journal of Computational and Graphical Statistics*, vol. 21, no. 1, pp. 2-17.

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*Stat*, vol. 1, no. 1, pp. 31-41.

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*Technometrics*, vol. 54, no. 3, pp. 233-236.

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*Statistica Sinica*, vol. 21, no. 1, Special Issue, pp. 369-389.

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*Statistica Sinica*, vol. 21, no. 2, pp. 807-840.

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*Electronic Journal of Statistics*, vol. 5, pp. 572-602.

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*Journal of the American Statistical Association*, vol. 106, no. 495, pp. 959-971.

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*American Statistician*, vol. 65, no. 2, pp. 115-126.

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*Bayesian Analysis*, vol. 6, no. 4, pp. 847-900.

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*Electronic Journal of Statistics*, vol. 5, pp. 1654-1717.

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*Australian and New Zealand Journal of Statistics*, vol. 53, no. 3, pp. 305-330.

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*Annals of Statistics*, vol. 39, no. 5, pp. 2502-2532.

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*Statistica Sinica*, vol. 21, no. 1, pp. 369-389.

*Annals of Statistics*, vol. 38, no. 3, pp. 1767-1792.

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*American Statistician*, vol. 64, no. 2, pp. 140-153.

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*Statistics and Probability Letters*, vol. 80, no. 15-16, pp. 1242-1252.

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*Journal of Statistical Software*, vol. 37, no. 5, pp. 1-30.

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*Journal of Classification*, vol. 27, no. 1, pp. 89-110.

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*BMC Bioinformatics*, vol. 11.

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*Australian and New Zealand Journal of Statistics*, vol. 52, no. 2, pp. 239-239.

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*Electronic Journal of Statistics*, vol. 3, no. 0, pp. 797-823.

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*Cytometry Part A*, vol. 75, no. 9, pp. 789-797.

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*Biometrical Journal*, vol. 51, no. 3, pp. 504-521.

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*Statistical Modelling*, vol. 9, no. 3, pp. 235-255.

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*Electron J Stat*, vol. 3, pp. 1193-1256.

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*Australian and New Zealand Journal of Statistics*, vol. 51, no. 1, pp. 9-41.

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*Adv Bioinformatics*, p. 461763.

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*Computational Statistics and Data Analysis*, vol. 52, no. 9, pp. 4225-4242.

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*Electronic Journal of Statistics*, vol. 2, no. 0, pp. 916-938.

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*Statistics and Probability Letters*, vol. 78, no. 17, pp. 2850-2858.

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*Methodology and Computing in Applied Probability*, vol. 10, no. 2, pp. 239-275.

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*Statistics in Medicine*, vol. 27, no. 3, pp. 435-448.

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*Computational Statistics*, vol. 23, no. 4, pp. 623-641.

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*Australian and New Zealand Journal of Statistics*, vol. 50, no. 2, pp. 179-198.

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*Statistics and Computing*, vol. 17, no. 2, pp. 179-192.

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*Journal of Multivariate Analysis*, vol. 98, no. 7, pp. 1412-1416.

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*Oncogene*, vol. 26, no. 4, pp. 543-553.

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*Epidemiology and Infection*, vol. 135, no. 2, pp. 195-201.

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*Statistics in Medicine*, vol. 25, no. 14, pp. 2469-2482.

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*Statistical Science*, vol. 21, no. 1, pp. 35-51.

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*Parabola*, vol. 42, no. 2, pp. 21-37.

*American Statistician*, vol. 60, no. 3, pp. 233-240.

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*Journal of Immunological Methods*, vol. 305, no. 1, pp. 67-74.

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*Biometrical Journal*, vol. 47, no. 5, pp. 740-754.

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*Biometrika*, vol. 92, no. 1, pp. 91-103.

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*Journal of Immunological Methods*, vol. 305, no. 1, pp. 75-83.

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*Australian and New Zealand Journal of Statistics*, vol. 47, no. 2, pp. 193-202.

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*Journal of Statistical Software*, vol. 14.

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*Statistics in Medicine*, vol. 24, no. 8, pp. 1153-1167.

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*Journal of Allergy and Clinical Immunology*, vol. 113, no. 6, pp. 1051-1057.

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*American Journal of Respiratory and Critical Care Medicine*, vol. 169, no. 11, pp. 1187-1190.

*Journal of Computational and Graphical Statistics*, vol. 13, no. 4, pp. 954-973.

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*Biostatistics*, vol. 5, no. 2, pp. 177-191.

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*Journal of Statistical Software*, vol. 9, pp. 1-54.

*Australian and New Zealand Journal of Statistics*, vol. 46, no. 4, pp. 569-581.

*Journal of the Royal Statistical Society. Series C: Applied Statistics*, vol. 52, no. 1, pp. 1-18.

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*Computational Statistics*, vol. 18, no. 2, pp. 223-249.

*American Journal of Industrial Medicine*, vol. 44, no. 5, pp. 458-466.

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*Environmental Research*, vol. 93, no. 2, pp. 158-166.

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*Environmental Health Perspectives*, vol. 111, no. 5, pp. 676-680.

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*Environmental Health Perspectives*, vol. 111, no. 4, pp. 472-477.

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*Environmental Health Perspectives*, vol. 111, no. 5, pp. 676-680.

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*Environmental Health Perspectives*, vol. 111, no. 4, pp. 472-477.

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*Journal of Computational and Graphical Statistics*, vol. 11, no. 4, pp. 784-798.

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*Journal of Statistical Planning and Inference*, vol. 103, no. 1-2, pp. 455-470.

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*American Statistician*, vol. 56, no. 1, pp. 55-62.

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*Statistics in Medicine*, vol. 21, no. 2, pp. 263-275.

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*Epidemiology*, vol. 13, no. 3, pp. 364-367.

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*Journal of the American Statistical Association*, vol. 97, no. 458, p. 661.

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*Proceedings / AMIA ... Annual Symposium. AMIA Symposium*, pp. 929-933.

*Journal of Computational and Graphical Statistics*, vol. 11, no. 4, pp. 784-798.

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*Proceedings / AMIA ... Annual Symposium. AMIA Symposium*, pp. 380-384.

*Statistical Science*, vol. 16, no. 3, pp. 232-248.

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*Journal of the Royal Statistical Society. Series C: Applied Statistics*, vol. 50, no. 1, pp. 31-42.

*Biostatistics*, vol. 2, no. 3, pp. 337-349.

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*Biometrics*, vol. 57, no. 2, pp. 539-545.

*Proceedings / AMIA ... Annual Symposium. AMIA Symposium*, pp. 776-780.

*American Journal of Respiratory and Critical Care Medicine*, vol. 162, no. 6, pp. 2117-2124.

*Computational Statistics*, vol. 15, no. 4, pp. 443-462.

*Biostatistics*, vol. 1, no. 3, pp. 279-292.

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*American Journal of Respiratory and Critical Care Medicine*, vol. 162, no. 6, pp. 2043-2047.

*Biometrics*, vol. 56, no. 1, pp. 139-144.

*Journal of Multivariate Analysis*, vol. 70, no. 1, pp. 57-65.

*Biometrics*, vol. 55, no. 3, pp. 704-710.

*Biometrika*, vol. 86, no. 4, pp. 936-940.

*Journal of the Royal Statistical Society. Series B: Statistical Methodology*, vol. 61, no. 1, pp. 39-50.

*Biometrics*, vol. 55, no. 1, pp. 238-245.

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*Computational Statistics*, vol. 13, no. 4, pp. 447-461.

*Statistics and Probability Letters*, vol. 37, no. 2, pp. 131-139.

*Australian Journal of Statistics*, vol. 39, no. 3, pp. 313-324.

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*American Statistician*, vol. 51, no. 1, pp. 59-64.

*Journal of Nonparametric Statistics*, vol. 8, no. 4, pp. 337-354.

*Journal of the American Statistical Association*, vol. 92, no. 438, pp. 477-489.

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*Technometrics*, vol. 39, no. 3, pp. 262-273.

*Journal of Computational and Graphical Statistics*, vol. 5, no. 4, pp. 337-350.

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*Journal of Multivariate Analysis*, vol. 56, no. 2, pp. 165-184.

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*Computational Statistics and Data Analysis*, vol. 22, no. 1, pp. 1-16.

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*Journal of The Royal Statistical Society Series B-methodological*, vol. 57, no. 1, pp. 171-180.

*Journal of the American Statistical Association*, vol. 90, no. 432, pp. 1257-1270.

*Applicable Analysis*, vol. 59, no. 1-4, pp. 289-306.

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*Journal of the American Statistical Association*, vol. 90, no. 429, pp. 141-150.

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*Journal of Computational and Graphical Statistics*, vol. 3, no. 4, pp. 433-445.

*The Annals of Statistics*, vol. 22, no. 3, pp. 1346-1370.

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*Computational Statistics*, vol. 9, pp. 97-116.

*Journal of the American Statistical Association*, vol. 88, no. 422, pp. 520-528.

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*Computational Statistics and Data Analysis*, vol. 16, no. 3, pp. 311-323.

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*Statistics*, vol. 24, pp. 215-233.

*Journal of Statistical Planning and Inference*, vol. 31, no. 1, pp. 15-21.

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*The Annals of Statistics*, vol. 20, no. 2, pp. 712-736.

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*Statistics and Probability Letters*, vol. 13, no. 2, pp. 109-115.

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*Journal of Nonparametric Statistics*, vol. 2, no. 1, pp. 1-15.

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*Australian Journal of Statistics*, vol. 34, no. 1, pp. 19-29.

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*Journal of the American Statistical Association*, vol. 86, no. 414, pp. 343-353.

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*Journal of The Royal Statistical Society Series B-methodological*, vol. 53, no. 3, pp. 573-585.

*Biometrika*, vol. 78, no. 1, pp. 197-205.

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*Scandinavian Journal of Statistics*, vol. 17, no. 3, pp. 251-256.

*Journal of The Royal Statistical Society Series B-methodological*, vol. 52, no. 1, pp. 223-232.

*Canadian Journal of Statistics*, vol. 18, no. 3, pp. 197-204.

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*Journal of Multivariate Analysis*, vol. 26, no. 1, pp. 59-88.

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*Biometrika*, vol. 75, no. 3, pp. 541-547.

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*Statistics and Probability Letters*, vol. 6, no. 5, pp. 311-314.

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*Annals of Statistics*, vol. 39, no. 5, pp. 2502-2532.

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**Selected Peer-Assessed Projects**