Statistics! But particularly resampling based methods like the bootstrap and the jackknife and other nonparametric techniques. Statistics can be applied just about everywhere, so I have an interest in a large number of areas, from broadband take-up, to breast cancer, to finger ratios and what they tell us about you.
Michael Martin is Professor of Statistics in the School of Finance and Applied Statistics at the Australian National University in Canberra, Australia. He holds a Bachelor of Science (Hons) degree from the University of Queensland (1986) and a PhD in Statistics from the ANU (1989). He held the position of Assistant Professor of Statistics at Stanford University, USA, from 1989 to 1994 and was Annenberg Distinguished Assistant Professor in Statistics at Stanford from 1992 to 1994. In 1994, he accepted a position as Lecturer in Statistics at the ANU, where he became a Senior Lecturer in 1995, Associate Professor in 2003 and Professor in 2007. He has over 75 publications in refereed journals, including papers in Biometrika, Journal of the Royal Statistical Society, Series B, Journal of the American Statistical Association and the Journal of Statistics Education. He has published extensively in both theoretical and applied statistics, including applications to medicine (in particular breast cancer), population health and environmental science (air pollution mortality), information systems (factors in business value from the use of information and computer technology), human-computer interfaces, and statistical education. His teaching career includes as highlights the Dean’s Award for Distinguished Teaching, School of Humanities and Sciences at Stanford University in 1992-3, the Faculty of Economics and Commerce Award for Excellence in Teaching at the ANU in 1998, the ANU Vice-Chancellor’s Award for Excellence in Teaching in 2000, being named a finalist in the Australian Awards for University Teaching in 2000, a Carrick Citation for Contributions to Teaching and Learning in 2007, and a Carrick Award for Teaching Excellence, also in 2007. He is an elected member of the International Statistical Institute (ISI) and has been honoured as a Fellow of the American Statistical Association for his services to research and teaching in statistics. He is also Principal Fellow of the Higher Education Academy (UK), in 2012, he was selected as an ANU University Education Scholar, and in his current role as Team Lead of the Promoting Excellence team, he is responsible for supervising the office that manages the University’s applications for education excellence awards and grants. He is the co-chair of the Educational Fellowship Scheme Committee at the ANU, the professional recognition scheme for teaching that is accredited by the Higher Education Academy. At the University, he is also the Chair of the ANU Human Research Ethics Committee. In 2017, he was named as an ANU Distinguished Educator.
And, from Michael:
And when the OzLotto hit $100 million, WIN news took an interest and came and asked me what numbers to choose. Since every choice has an equally likely chance to come up, your best bet is to choose numbers that others are less likely to choose (so if you win, you'll be less likely to have to share the prize).
Published papers (Refereed Journals):
1. Hall, P. and Martin, M.A. (1988) On the bootstrap and two-sample problems. Australian Journal of Statistics, 30A, 179-192.
2. Hall, P. and Martin, M.A. (1988) On bootstrap resampling and iteration. Biometrika, 75(4), 661-671. doi:10.1093/biomet/75.4.661.
3. Hall, P. and Martin, M.A. (1988) Exact convergence rate of bootstrap quantile variance estimator. Probability Theory and Related Fields, 80(2), 261-268. doi: 10.1007/BF00356105.
4. Hall, P. and Martin, M.A. (1989) A note on the accuracy of bootstrap percentile method confidence intervals for a quantile. Statistics and Probability Letters, 8(3), 197-200. doi:10.1016/0167-7152(89)90121-1.
5. Hall, P., Martin, M.A. and Schucany, W.R. (1989) Better nonparametric bootstrap confidence intervals for the correlation coefficient. Journal of Statistical Computation and Simulation, 33(3), 161-172. doi: 10.1080/00949658908811194.
6. Martin, M.A. (1990) A note on using the jackknife to estimate quantile variance. Canadian Journal of Statistics, 18, 149-153.
7. Martin, M.A. (1990) On bootstrap iteration for coverage correction in confidence intervals. Journal of the American Statistical Association, 85, No. 412, 1105-1118.
8. Hall, P. and Martin, M.A. (1991) On the error incurred using the bootstrap variance estimate when constructing confidence intervals for quantiles. Journal of Multivariate Analysis, 38(1), 70-81. doi:10.1016/0047-259X(91)90032-W.
9. DiCiccio, T.J., Martin, M.A. and Young, G.A. (1991) An invariance property of marginal density and tail probability approximations for smooth functions. Statistics and Probability Letters, 12(3), 249-255. doi:10.1016/0167-7152(91)90086-7.
10. DiCiccio, T.J. and Martin, M.A. (1991) Approximations of marginal tail probabilities for a class of smooth functions with applications to Bayesian and conditional inference. Biometrika, 78(4), 891-902. doi:10.1093/biomet/78.4.891.
11. Martin, M.A. (1992) On the double bootstrap. In Computing Science and Statistics. Statistics of Many Parameters: Curves, Images, Spatial Models. Connie Page and Raoul LePage Eds., 73-78. Springer-Verlag, New York. doi:10.1007/978-1-4612-2856-1_9.
12. DiCiccio, T.J., Martin, M.A. and Young, G.A. (1992) Fast and accurate approximate double bootstrap confidence intervals. Biometrika, 79(2), 285-295. doi:10.1093/biomet/79.2.285.
13. DiCiccio, T.J. and Martin, M.A. (1992) Discussion of “Jackknife-after-bootstrap standard errors and influence functions” by B. Efron. Journal of the Royal Statistical Society, Series B, 54(1), 123.
14. DiCiccio, T.J., Martin, M.A. and Young, G.A. (1993) Analytical approximations for iterated bootstrap confidence intervals. Statistics and Computing, 2(3), 161-171. doi: 10.1007/BF01891208.
15. DiCiccio, T.J. and Martin, M.A. (1993) Simple modifications for signed roots of likelihood ratio statistics. Journal of the Royal Statistical Society, Series B, 55(1), 305-316.
16. DiCiccio, T.J., Martin, M.A. and Young, G.A. (1993) Analytical approximations to conditional distribution functions. Biometrika, 80(4), 781-790. doi:10.1093/biomet/80.4.781.
17. DiCiccio, T.J., Martin, M.A. and Young, G.A. (1994) Analytic approximations to bootstrap distribution functions using saddlepoint methods. Statistica Sinica, 4(1), 281-295.
18. Crellin, N.J. and Martin, M.A. (1995) Discussion of “Wavelet shrinkage: asymptopia?” by D.L. Donoho, I.M. Johnstone, G. Kerkyacharian and D. Picard. Journal of the Royal Statistical Society, Series B, 57(2), 352.
19. DiCiccio, T.J., Martin, M.A., Stern, S.E. and Young, G.A. (1996) Information bias and adjusted profile likelihood. Journal of the Royal Statistical Society, Series B, 58(1), 189-203.
20. Fan, J., Hall, P., Martin, M.A. and Patil, P. (1996) On local smoothing of nonparametric curve estimators. Journal of the American Statistical Association, 91, No. 433, 258-266.
21. Hall, P. and Martin, M.A. (1996) Discussion of “Bootstrap confidence intervals” by T.J. DiCiccio and B.Efron. Statistical Science, 11(3), 212-214.
22. Martin, M.A. (1997) Postcards from Asymptopia, in Computing Science and Statistics, L. Billard and N.I. Fisher, editors, 28, 239-241. Interface Foundation of North America, Inc., Fairfax Station, VA 22039-7460.
23. Martin, M.A. and Welsh, A.H. (1998) Graphical Displays, in Encyclopedia of Biostatistics, Peter Armitage and Theodore Colton, Editors, 2, 1750-1771. John Wiley and Sons, New York.
24. Fan, J., Hall, P., Martin, M.A. and Patil, P. (1999) Adaption to high spatial inhomogeneity based on wavelets and on local linear smoothing. Statistica Sinica, 9(1), 85-102.
25. Hall, P., Martin, M.A. and Sun, S. (1999) Monte Carlo approximations to Edgeworth expansions. Canadian Journal of Statistics, 27, 579-584.
26. DiCiccio, T.J., Martin, M.A. and Stern, S.E. (2001) Simple and accurate one-sided inference from signed roots of likelihood ratios. Canadian Journal of Statistics, 29, 67-76.
27. Duklan, K. and Martin, M.A. (2002) Communicating effectively with words, numbers and pictures: Drawing on experience. Journal of Actuarial Practice, 10, 5-61.
28. Martin, M.A. (2003) It’s like, you know – the use of analogies and heuristics in teaching introductory statistics. Journal of Statistics Education, Volume 11(2) online. http://www.amstat.org/publications/jse/v11n2/martin.html
See also Letter to the Editor:
29. Martin, M.A. and Welsh, A.H. (2004) Statistical graphics, Biometrics, Encyclopedia of Mathematical Sciences, edited by Susan R. Wilson and Conrad Burden, in Encyclopedia of Life Support Systems (EOLSS), Developed under the Auspices of the UNESCO, Eolss Publishers, Oxford, UK. [http://www.eolss.net]
30. Gregor, S., Martin, M. A., Stern, S. E., Goode, S., and Rolfe, J. (2004) A classification tree analysis of broadband adoption in Australian households. In Proceedings of the 6th international Conference on Electronic Commerce (Delft, The Netherlands, October 25 - 27, 2004). M. Janssen, H. G. Sol, and R. W. Wagenaar, Eds. ICEC '04, vol. 60. ACM Press, New York, NY, 451-456. doi:10.1145/1052220.1052278
31. Martin, M.A. and Welsh, A.H. (2005) Graphical Displays, in Encyclopedia of Biostatistics, Second Edition, Peter Armitage and Theodore Colton, Editors, 3, 2220-2244. John Wiley and Sons, Chichester.
32. Roberts, S. and Martin, M.A. (2005) A critical assessment of shrinkage-based regression approaches for estimating the adverse health effects of multiple air pollutants. Atmospheric Environment, 39(33), 6223-6230; doi:10.1016/j.atmosenv.2005.07.004.
33. Fang, Y., Martin, M.A., O’Neill, T.J. and Roberts, S. (2006) On the Power of Portmanteau Serial Correlation Tests, Journal of Statistical Computation and Simulation, 76(7), 593-604. doi: 10.1080/10629360500108921.
34. Martin, M.A. and Roberts, S. (2006) Bootstrap model averaging in time series studies of particulate matter air pollution and mortality. Journal of Exposure Science and Environmental Epidemiology, 16(3), 242-250; doi:10.1038/sj.jea.7500454.
35. Roberts, S. and Martin, M.A. (2006) Investigating the mixture of air pollutants associated with adverse health outcomes. Atmospheric Environment, 40(5), 984-991; doi:10.1016/j.atmosenv.2005.10.022.
36. Roberts, S. and Martin, M.A. (2006) Applying a Moving Total Mortality Count to the Cities in the NMMAPS Database to Estimate the Mortality Effects of Particulate Matter Air Pollution. Occupational and Environmental Medicine, 63(3), 193-197; doi:10.1136/oem.2005.023317.
37. Martin, M.A., Meyricke, R., O’Neill, T.J. and Roberts, S. (2006) Mastectomy or breast conserving surgery? Factors affecting type of surgical treatment for breast cancer – A classification tree approach. BMC Cancer, 6:98 (20Apr2006).
38. Martin, M.A. and Roberts, S. (2006) An evaluation of bootstrap methods for outlier detection in regression models. Journal of Applied Statistics, 33(7), 705–722. doi: 10.1080/02664760600708863.
39. Gregor, S., Martin, M.A., Fernandez, W., Stern, S.E. and Vitale, M. (2006) The transformational imperative in the realization of business value from the use of information technology. Journal of Strategic Information Systems, 15(3), 249-270; doi: 10.1016/j.jsis.2006.04.001.
40. Roberts, S. and Martin, M.A. (2006) The use of supervised principal components in assessing multiple pollutant effects. Environmental Health Perspectives, 114(12), 1877–1882; doi:10.1289/ehp.9226.
41. Martin, M.A., Meyricke, R., O’Neill, T.J. and Roberts, S. (2006) Breast conserving surgery versus mastectomy for survival from breast cancer – the Western Australian experience. Annals of Surgical Oncology, 14(1), 157-164; doi: 10.1245/s10434-006-9203-9.
42. Roberts, S. and Martin, M.A. (2006) The question of non-linearity in the dose-response relationship between particulate matter air pollution and mortality: Can AIC be trusted to take the right turn? American Journal of Epidemiology 164(12), 1242-1250; doi:10.1093/aje/kwj335
43. Lai, J.K., Martin, M.A., Meyricke, R., O’Neill, T.J. and Roberts, S. (2007) The impact of surgical treatment choice on short-term hospital readmission rates for breast cancer patients in Western Australia. Journal of the American College of Surgeons, 204(2), 193-200. doi:10.1016/j.jamcollsurg.2006.11.004.
44. Martin, M.A. (2007) Bootstrap hypothesis testing for some common statistical problems: A critical evaluation of size and power properties. Computational Statistics and Data Analysis, 51(12), 6321-6342. doi: 10.1016/j.csda.2007.01.020.
45. Gardner, H. and Martin, M.A. (2007) Analyzing ordinal scales in studies of virtual environments: Likert or lump it! Presence: Teleoperators and Virtual Environments, 16(4), 439-446. doi:10.1162/pres.16.4.439.
46. Roberts, S. and Martin, M.A. (2007) Methods for Bias Reduction in Time Series Studies of Particulate Matter Air Pollution and Mortality. Journal of Toxicology and Environmental Health, 70(8), 665-675. doi:10.1080/15287390600974668.
47. Roberts, S. and Martin, M.A. (2007) A distributed lag approach to fitting non-linear dose-response models in particulate matter air pollution time series investigations. Environmental Research, 104(2), 193-200. doi:10.1016/j.envres.2007.01.009.
48. Martin, M.A. and Roberts, S. (2007) Bootstrap and jackknife: Overview, in Encyclopedia of Statistics in Quality and Reliability, Ruggeri, F., Kenett, R. and Faltin, B.W. (eds). John Wiley and Sons Ltd, Chichester, UK, pp 240-245.
49. Roberts, S. and Martin, M.A. (2008) Combining information available from multiple particulate air pollution monitors. Journal of Exposure Science And Environmental Epidemiology, 18, 88-94. doi:10.1038/sj.jes.7500597.
50. Fernández, W., Martin, M.A., Gregor, S., Stern, S.E., and Vitale, M. (2008) A Multi-Paradigm Approach to Grounded Theory. Information Systems Foundations: Theory, Representation and Reality, Dennis N. Hart and Shirley D. Gregor (Editors), pp 231-245. ANU E Press, http://epress.anu.edu.au.
51. Martin, M.A. and Roberts, S. (2008) A regression approach for estimating multiday adverse health effects of PM10 when daily PM10 data are unavailable. American Journal of Epidemiology, 167, 1511 – 1517. doi:10.1093/aje/kwn078.
52. Roberts, S. and Martin, M.A. (2010) Bootstrap-after-bootstrap model averaging for reducing model uncertainty in model selection for air pollution mortality studies. Environmental Health Perspectives, 118(1), 131-136. doi: 10.1289/ehp.0901007.http://www.ehponline.org/members/2009/0901007/0901007.pdf.
53. Martin, M.A. and Roberts, S. (2010) Jackknife-after-Bootstrap Regression Influence Diagnostics. Journal of Nonparametric Statistics, 22(2), 257-269. doi: 10.1080/10485250903287906.
54. Martin, M.A., Roberts, S. and Zheng, L. (2010) Delete-2 and delete-3 jackknife procedures for unmasking in regression. Australian and New Zealand Journal of Statistics, 52(1), 45-60. doi: 10.1111/j.1467-842X.2009.00565.x.
55. Martin, M.A. and Roberts, S. (2010) Does ignoring model selection effects in assessing the effect of PM on mortality make us too vigilant? Annals of Epidemiology, 20(10), 772-778; doi:10.1016/j.annepidem.2010.03.019.
56. Martin, M.A. and Roberts, S. (2010) Beta. Encyclopedia of Research Design, 1:81-82. Neil J. Salkind Editor, Sage Publications Inc., London.
57. Martin, M.A. and Roberts, S. (2010) Criterion Variable. Encyclopedia of Research Design, 1:296-297. Neil J. Salkind Editor, Sage Publications Inc., London.
58. Martin, M.A. and Roberts, S. (2010) Data Snooping. Encyclopedia of Research Design, 1:332-333. Neil J. Salkind Editor, Sage Publications Inc., London.
59. Martin, M.A. and Roberts, S. (2010) Influence Statistics. Encyclopedia of Research Design, 2:596-600. Neil J. Salkind Editor, Sage Publications Inc., London.
60. Mills, K., Blanch, P., Dev, P., Martin, M.A. and Vicenzino, B. (2012) A randomised control trial of short term efficacy of in-shoe foot orthoses compared with a wait and see policy for anterior knee pain and the role of foot mobility. British Journal of Sports Medicine 46:4, 247-252.
61. Gardner, H., Martin, M.A. and Sko, T. (2013) Non-parametric decision trees for online HCI. CHI 2013 ACM Conference on Human Factors in Computing Systems. Proceedings of the 2013 ACM SIGCHI Conference on Human Factors in Computing Systems. (ISBN: 978-1-4503-1899-0), 2103-2106. Doi: 10.1145/2470654.2481288. ACM, New York, USA.
62. Sko, T., Gardner, H., and Martin, M.A. (2013) Studying a Head Tracking Technique for First-Person-Shooter Games in a Home Setting. Human-Computer Interaction – INTERACT 2013, Lecture Notes in Computer Science Volume 8120, 246-263. Edited by Kotze, Marsden, Lindgaard, Wesson and Winckler. Springer-Verlag, Heidelberg. DOI: 10.1007/978-3–642-40498-6_18. ISBN: 978-3-642-40495-9 (Print), 978-3-642-40498—6 (Online).
63. Beyaztas, U., Aylin, A. and Martin, M.A. (2014) Robust BCa-JaB method as a diagnostic tool for linear regression models, Journal of Applied Statistics, 41, 1593-1610. doi:10.1080/02664763.2014.881788.
64. Swift, B., Gardner, H. and Martin, M.A. (2014) Coding Livecoding, CHI ’14 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. (ISBN: 978-1-4503-2473-1), 1021-1024. Doi: 10.1145/2556288.2557049. ACM, New York, USA.
65. Dev, P. and Martin, M.A. (2014) Using Neural Networks and Extreme Value Distributions to Model Electricity Pool Prices: Evidence from the Australian National Electricity Market 1998-2013, Energy Conversion and Management, 84, 122-132. doi: 10.1016/j.enconman.2014.04.012
66. Martin, M.A. (2014) An elephant never forgets: Effective analogies for teaching statistical modeling. In Topics from Australian Conferences on Teaching Statistics: OZCOTS 2008-2012, Springer Proceedings in Mathematics and Statistics Volume 81, pp 13-24. H. MacGillivray, B. Phillips, M.A. Martin, Eds. Springer-Verlag, New York. doi:10.1007/978-1-4939-0603-1_2.
67. Roberts, S., Zheng, L. and Martin, M.A. (2015) An adaptive and automatic multiple-case deletion technique for detecting influence in regression. Technometrics, 57(3), 408-417. DOI: 10.1080/00401706.2014.946152.
68. Martin, M.A. and Welsh, A.H. (2015) Graphical Displays. Wiley StatsRef: Statistics Reference Online, 1-36. John Wiley & Sons, Ltd. Doi: 10.1002/9781118445112.stat05020.pub2.
69. Martin, M.A. and Roberts, S. (2015) Bootstrap and Jackknife, Overview. Wiley StatsRef: Statistics Reference Online, 1-8. John Wiley & Sons, Ltd. Doi: 10.1002/9781118445112.stat03879.pub2.
70. Martin, C., Swift, B., Gardner, H. and Martin, M.A. (2016) Intelligent agents and networked buttons improve free-improvised ensemble music-making on touch-screens. CHI ’16 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. (ISBN: 978-1-4503-3362-7), 2295-2306. Doi: 10.1145/2858036.2858269. ACM, New York, USA.
71. Alin, A., Martin, M.A., Beyaztas, U. and Pathak, P. (2017) Sufficient m-out-of-n (m/n) bootstrap. Journal of Statistical Computation and Simulation, 87(9), 1742-1753. Doi: 10.1080/00949655.2017.1284847.
1.72. Martin, M.A. (2017) Wild bootstrap. Wiley StatsRef: Statistics Reference Online, Published online 15 May 2017. Doi: 10.1002/9781118445112.stat08015.
73. William, J., Chojenta, C., Martin, M.A. and Loxton, D. (2017). An actuarial investigation into maternal hospital cost risk factors for public patients. Annals of Actuarial Science, 1-24. doi:10.1017/S174849951700015X
74. McGillivray, H., Phillips, B, and Martin, M.A. (Editors) (2014). Topics from Australian Conferences on Teaching Statistics: OZCOTS 2008-2012. Springer Proceedings in Mathematics & Statistics 81. Springer-Verlag, New York.
75. Fernández, W., Gregor, S, Martin, M.A., Stern, S.E., and Vitale, M. (2005) The Multi-Paradigm Approach to Grounded Theory: Achieving Synergy between Quantitative and Qualitative Researchers. The 37th World Congress of the International Institute of Sociology Stockholm, Sweden, July 6-9, 2005.
76. Martin, M.A. (2008) What lies beneath: inventing new wheels from old. OZCOTS 2008, Proceedings of the 6th Australian Conference on Teaching Statistics, H.L. MacGillivray and M.A. Martin, editors. pp. 35-52.
77. Mills, K., Osis, S.T., Martin, M.A., Hettinga, B.A. and Ferber, R. (2014) A preliminary study of potential indicators of standardised exercise program success in individuals with knee osteoarthritis: Is self-report enough? Abstract/Poster, Journal of Science and Medicine in Sport, 18S, e89-e90. DOI: 10.1016/j.sams.2014.11.350.
78. Mills, K., Martin, M.A., Osis, S.T., Hettinga, B.A. and Ferber, R. (2015) Can gait kinematics be used to predict response to standardised exercise programs in individuals with knee osteoarthritis? Abstract, XXV Congress of the International Society of Biomechanics.
79. Martin, C., Gardner, H., Swift, B. and Martin, M.A. (2015). Music of 18 performances: Evaluating apps and agents with free improvisation. Proceedings of the 2015 Conference of the Australasian Computer Music Association, 85-94. ISSN 1448-7780.
80. Eyles, J., Mills, K., Martin, M.A., Hancock, M. and Hunter, D. (2015) Can patients with patellofemoral osteoarthritis be sub-grouped at baseline? Abstract, Journal of Science and Medicine in Sport, 19S, e86. DOI: 10.1016/j.sams.2015.12.206.
Published Research Reports
81. Gregor, S., Fernandez., W, Holtham, D, Martin, M.A., Stern, S.E., Vitale, M. and Pratt, G. (2004) Achieving Value from ICT: Key Management Strategies, Department of Communications, Information Technology and the Arts, ICT Research Study, Canberra. (ISBN: 0 642 75290 7).
Edited Conference Proceedings
82. Joint Editor, OZCOTS 2008: Proceedings of the 6th Australian Conference on Teaching Statistics. ISBN: 978-0-9805950-0-0. http://iase-web.org/documents/anzcots/OZCOTS_2008_Proceedings.pdf
83. Joint Editor, OZCOTS 2016: Proceedings of the 9th Australian Conference on Teaching Statistics. ISBN: 978-0-9805950-2-4.
Reports to Government
84. Australian Climate Observations Reference Network – Surface Air Temperature (ACORN-SAT). Report of the Technical Advisory Forum, July 2015. http://www.bom.gov.au/climate/change/acorn-sat/documents/2015_TAF_report.pdf
85. Australian Climate Observations Reference Network – Surface Air Temperature (ACORN-SAT). Report of the Technical Advisory Forum, September 2016. http://www.bom.gov.au/climate/change/acorn-sat/documents/2016_TAF_report.pdf
86. Australian Climate Observations Reference Network – Surface Air Temperature (ACORN-SAT). Report of the Technical Advisory Forum, September 2017. http://www.bom.gov.au/climate/change/acorn-sat/documents/2017_TAF_Report.pdf
- 2003, Telecommunications Research Grants Program, Department of Communication, Information Technology and the Arts (DCITA), Understanding Australian Broadband Take-up in Households and Businesses. (Dr Michael Martin Co-Principal Investigator with Professor Shirley Gregor (ANU), the remainder of the team comprising Dr Steven Stern (ANU), Dr John Rolfe (Central Queensland University) and Mr Sigi Goode (ANU).)
- 2004, National Office of the Information Economy (NOIE) Grant, joint with Opticon Australia. ICT, Organisation and Management - The Strategic Management of Technology. Co-investigators: Professor Shirley Gregor, Dr Michael Martin, Dr Walter Fernandez, Dr Steven Stern, Professor Michael Vitale (AGSM, Opticon), Opticon Australia.
- 2006-2008, Australian Research Council (ARC) Discovery Project DP0664255, The key strategies in firms’ realisation of value from ICT: A transformational model of ICT value. Co-investigators: Professor Shirley Gregor, Dr Walter Fernandez, Dr Michael Martin, Dr Juliana Ng, Dr Steven Stern.
- 2007-2010, Australian Research Council (ARC) Linkage Project LP0776784 Expenditure needs and drawdown of retirement savings during later life: how important are demographic factors and financial resources? Linkage Partners: Rice-Warner Actuaries, AMP. Co-investigators: Prof TJ O'Neill; Prof PF McDonald; Dr J Penm; Dr JB Temple; Dr S Roberts; Mr TS Higgins.
- 2006-2008, Australian Research Council (ARC) Linkage Project LP0562008, New Investment Approaches and Applications in Financial Markets: Subset Time-Series Modeling. Linkage Partner: Australian Prudential Regulatory Authority (APRA). Co-investigators Martin replacing Prof P.G. Hall; Prof. R.D. Terrell; Prof T.J. O'Neill; Professor T. Brailsford; Dr J. Penm.
- 2008-2010, Australian Research Council (ARC) Discovery Project DP0878988, Air pollution: do modern statistical model selection techniques make the silent killer speak too loud? Co-investigator: Dr Steven Roberts.
- 2015, Higher Education Participation Programme, 2015 National Priorities Pool, Australian Government Department of Education and Training. Building statistical literacy for success in higher education. With Peter Howley (Newcastle), Kathryn Holmes (UWS), Peter Dunn (USC).
ANU Distinguished Educator
Theory and Methods Editor, Australian and New Zealand Journal of Statistics
Chair, ANU Human Research Ethics Committee
Co-Chair, ANU Educational Fellowship Scheme Committee
Promoting Excellence Team Lead (CHELT)
Associate Editor, Journal of Statistical Computation and Simulation
Associate Editor, Statistica Sinica
Teaching Statistics is a passion for me - Statistics is a discipline that is about the whole box of wax, about life and death, because just about everything is subject to variation. So to be able to help people learn about this incredibly important feature of life is a real privilege. My current teaching includes the course Graphical Data Analysis (STAT3011/STAT7026), a course whose name tells you what it is about: visualising data to understand the world!