Massey University






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Contact me
m.hazelton AT massey.ac.nz

tel: +64 6 356 9099 x84642
fax: +64 6 355 7953


Institute of Fundamental Sciences
Massey University
Private Bag 11222
Palmerston North 4442
New Zealand


Martin Hazelton's Personal Webpage

About Me
Hello and welcome to my webpage. I am Professor of Statistics and Chair of the Statistics and Bioinformatics Group in the Institute of Fundamental Sciences at Massey University's Manawatu campus in Palmerston North, New Zealand. I am also the current President of the New Zealand Statistical Association.

For Current Massey Students
For information on papers that I currently teach, see the Massey paper codes under the Teaching heading in the panel on the left. Access to information on those papers is available throught the Stream learning environment.

If you are looking for advice on which statistics paper(s) to take, then feel free to contact me. If you are considering doing Honours or a PhD in Statistics and think that you might like to be supervised by me, then read about my research below.

About My Research
I have a variety of research interests. These include:

Smoothing Methods
I have long been interested in kernel smoothing problems, and in particular spatially adaptive methods for multivariate data. My current work in this area includes kernel estimation of relative risk functions in geographical epidemiology, with former PhD student Tilman Davies (the latter now a lecturer at the University of Otago). Recently I have been working in collaboration with Berwin Turlach on weighted density esimation and kernel deconvolution problems. I have also become interested in constrained spline smoothing, again working in conjunction with Berwin, and also with former Honours student Khair bin Jones.

Biostatistics and Applied Statistics

I have a keen interest in the development and application of statistical methods in medicine, particularly epidemiology and opthalmology. I am currently working withProfessor Bill Morgan (Lions Eye Institute, Western Australia) on some challenging statistical modelling problems for ophthalmic data collected from glaucoma patients. I am also a Principal Investigator in Massey's Infectious Disease Research Centre (IDReC), where my work includes modelling patterns of foot and mouth disease in Vietnam with epidemiologist Prof Mark Stevenson and former PhD student Kate Richards, and estimation of spatial risk (as discussed under Smoothing Methods above).

Spatial Statistics
Through my interests in smoothing, networks, and geographical epidemiology, I have an evolving interest in spatial statistics. Much of Tilman Davies' later work was in this area.

Breaking newsI am Associate Investigator on a New Zealand Royal Society Fast Start Marsden Fund grant entitled "Smoothing and inference for point process data with applications to epidemiology" for 2016-2019. The Principal Investigator is Tilman Davies.

Statistical Modelling and Inference in Transportation Science
Transportation science generates a huge range of fasinating problems. I'm currently focused on network tomography (in essence, statistical methods for learning about high dimensional properies of network traffic flows based on lower dimensional observations), and modelling and inference for day-to-day dynamic traffic networks, with Professors David Watling, Giulio Cantarella, Hong Lo and Mike Smith. I was awarded a New Zealand Royal Society Marsden Fund grant for 2015-2019 to work in this area. Iranian PhD student Ahmad Mahmoodjanlou is working with me on this project. He is co-supervised by Dr Katharina Parry, who recently joined Massey as a Lecturer in Statistics.

In addition to these medical areas, I have a general interest in the application of statistical methods. Indeed, one of the great things about working in statistics is that I've had the opportunity to look at a diverse range of intriguing problems from a wide variety of areas, from archaeology, to finance, to zoology.

 I was the recipient of the 2014 Littlejohn Research Award, the New Zealand Statistical Association's premier research award.







Page last updated: 12 September 2016.