## Archived seminars in StatisticsSeminars 1 to 50 | Next 50 seminars |

### Jie Kang

*Mathematics and Statistics, University of Otago*

Date: Thursday 12 March 2020

### John Hinde

*National University of Ireland, Galway*

Date: Thursday 10 October 2019

### Phillip Wilcox

*Mathematics and Statistics, University of Otago*

Date: Thursday 3 October 2019

### Varvara Vetrova

*University of Canterbury*

Date: Thursday 19 September 2019

### Peter Dillingham

*Mathematics and Statistics, University of Otago*

Date: Thursday 12 September 2019

### David Fletcher

*Mathematics and Statistics, University of Otago*

Date: Thursday 5 September 2019

### Lisa Avery

*University of Otago Mathematics and Statistics Department*

Date: Thursday 22 August 2019

### David Bryant

*Mathematics and Statistics, University of Otago*

Date: Thursday 15 August 2019

### Matthew Parry

*Department of Mathematics and Statistics*

Date: Thursday 8 August 2019

### Steven Mills

*Department of Computer Science*

Date: Tuesday 30 July 2019

### Matthew Schofield

*Department of Mathematics and Statistics*

Date: Thursday 18 July 2019

### David Eyers

*Department of Computer Science*

Date: Thursday 23 May 2019

~~David has broad research interests in computer science topics, including distributed systems and information security. One theme of his research has been seeking security techniques that are usable and accessible to end users and software developers.~~

### Assoc. Prof. Darryl MacKenzie

*Proteus & Department of Mathematics and Statistics*

Date: Thursday 16 May 2019

### Michael Lee

*University of Otago Statistics*

Date: Thursday 9 May 2019

### Timothy Bilton

*Department of Mathematics and Statistics*

Date: Thursday 2 May 2019

### Dr Jill Haszard

*Division of Sciences Biostatistician*

Date: Thursday 18 April 2019

### Amina Shahzadi

*Department of Mathematics and Statistics*

Date: Thursday 11 April 2019

### Richard Barker

*PVC, Division of Sciences*

Date: Thursday 4 April 2019

### Cheryl Quinton

*AbacusBio Limited, Dunedin*

Date: Thursday 28 March 2019

### Andrew Robinson

*University of Melbourne*

Date: Thursday 21 March 2019

### Simon Spencer

*University of Warwick*

Date: Thursday 14 March 2019

### Murray Efford

*Department of Mathematics and Statistics*

Date: Thursday 7 March 2019

### Ken Dodds

*AgResearch*

Date: Thursday 28 February 2019

### Abdis Sattar

*Department of Population and Quantitative Health Sciences Case Western Research University USA*

Date: Tuesday 19 February 2019

### Marzia Cremona

*Penn State University*

Date: Wednesday 30 January 2019

### Geoff Jones

*Massey University*

Date: Thursday 25 October 2018

### Benoit Auvray

*Iris Data Science & Department of Mathematics and Statistics*

Date: Thursday 27 September 2018

### Matt Schofield

*Department of Mathematics and Statistics*

Date: Thursday 20 September 2018

### Alastair Lamont

*Department of Mathematics and Statistics*

Date: Thursday 13 September 2018

### Ting Wang

*Department of Mathematics and Statistics*

Date: Thursday 6 September 2018

We developed a 2D hidden Markov model to automatically analyse and forecast the spatiotemporal behaviour of tremor activity in the regions Kii and Shikoku, southwest Japan. This new automated procedure classifies the tremor source regions into distinct segments in 2D space and infers a clear hierarchical structure of tremor activity, where each region consists of several subsystems and each subsystem contains several segments. The segments can be quantitatively categorized into three different types according to their occurrence patterns: episodic, weak concentration, and background. Moreover, a significant increase in the proportion of tremor occurrence was detected in a segment in southwest Shikoku before the 2003 and 2010 long-term slow slip events in the Bungo channel. This highlights the possible correlation between tectonic tremor and slow slip events.

### Zulfi Jahufer

*AgResearch and Massey University*

Date: Thursday 23 August 2018

~~Dr Zulfi Jahufer is a senior research scientist in quantitative genetics and forage plant breeding. He also conducts the Massey University course in plant breeding. His seminar will focus on the development of novel forage grass and legume cultivars; he will also introduce the new plant breeding software tool DeltaGen.~~

### Martin Hazelton

*Massey University*

Date: Thursday 16 August 2018

In principle such sampling can be conducted using Markov chain Monte Carlo methods, through a random walk on the lattice polytope. However, it is challenging to design algorithms for doing so that are both computationally efficient and have guaranteed theoretical properties. In this talk I will describe some current work that seeks to combine methods from algebraic statistics with geometric insights in order to develop and study new polytope samplers that address these issues.

### David Bryant

*Department of Mathematics and Statistics*

Date: Thursday 9 August 2018

### Richard Norton

*Department of Mathematics and Statistics*

Date: Thursday 2 August 2018

### Zhanglong Cao

*Mathematics and Statistics Department University of Otago*

Date: Thursday 19 July 2018

### Tilman Davies

*Mathematics and Statistics Department University of Otago*

Date: Thursday 12 July 2018

### Georgia Anderson

*Oritain*

Date: Thursday 31 May 2018

Oritain measures a product's origin using 'chemical fingerprints' derived from the compositions of plants and animals. These compounds vary naturally throughout the environment. Multivariate statistical methods such as principal component analysis and linear discriminant analysis are used to extract information and determine this fingerprint from the trace element and isotopic data.

This talk will present the science used at Oritain and explore how statistics is used in a commercial environment.

### Honours and PGDip students

*Department of Mathematics and Statistics*

Date: Friday 25 May 2018

Qing Ruan : ~~Bootstrap selection in kernel density estimation with edge correction~~

Willie Huang : ~~Autoregressive hidden Markov model - an application to tremor data~~

MATHEMATICS

Tom Blennerhassett : ~~Modelling groundwater flow using Finite Elements in FEniCS~~

Peixiong Kang : ~~Numerical solution of the geodesic equation in cosmological spacetimes with acausal regions~~

Lydia Turley : ~~Modelling character evolution using the Ornstein Uhlenbeck process~~

Ben Wilks : ~~Analytic continuation of the scattering function in water waves~~

Shonaugh Wright : ~~Hilbert spaces and orthogonality~~

Jay Bhana : ~~Visualising black holes using MATLAB~~

### Hamish Spencer

*Department of Zoology*

Date: Thursday 24 May 2018

The model predicts that loci with higher levels of sexual conflict should exhibit greater differentiation between males and females in levels of dominance and that the strength of antagonistic selection experienced by one sex should be proportional to the level of dominance modification. These predictions match the recent discovery of a gene in Atlantic salmon, in which sex-dependent dominance leads to earlier maturation of males than females, a difference that is strongly favoured by selection. Finally, I suggest that empiricists should be alert to the possibility of there being numerous cases of sex-specific dominance.

### Robin Turner

*Biostatistics Unit, Dunedin School of Medicine*

Date: Thursday 17 May 2018

### Gabrielle Davie and Rebecca Lilley

*Department of Preventive and Social Medicine*

Date: Thursday 10 May 2018

### Murray Efford

*Department of Mathematics and Statistics*

Date: Thursday 3 May 2018

### Valerie Isham, NZMS 2018 Forder Lecturer

*University College London*

Date: Tuesday 24 April 2018

In this talk, I will review some stochastic point process-based models constructed in continuous time and continuous space using spatial-temporal examples from hydrology such as rainfall (where flood control is a particular application) and soil moisture. By working with continuous spaces, consistent properties can be obtained analytically at any spatial and temporal resolutions, as required for fitting and applications. I will start by covering basic model components and properties, and then go on to discuss model construction, fitting and validation, including ways to incorporate nonstationarity and climate change scenarios. I will also describe some thoughts about using similar models for wildfires.

### Valerie Isham, NZMS 2018 Forder Lecturer

*University College London*

Date: Monday 23 April 2018

Epidemic models are developed as a means of gaining understanding about the dynamics of the spread of infection (human and animal pathogens, computer viruses etc.) and of rumours and other information. This understanding can then inform control measures to limit spread, or in some cases enhance it (e.g., viral marketing). In this talk, I will give an introduction to simple generic epidemic models and their properties, the role of stochasticity and the effects of population structure (metapopulations and networks) on transmission dynamics, illustrating some past successes and outlining some future challenges.

### Alexandra Gavryushkina

*Department of Biochemistry*

Date: Monday 23 April 2018

Newly available data require developing new approaches to reconstructing dated phylogenetic trees. In this talk, I will present new methods that employ birth-death-sampling models to reconstruct dated phylogenetic trees in a Bayesian framework. These methods have been successfully applied in epidemiology and macroevolution. Dated phylogenetic histories can be informative about the past events, for example, we can learn from a reconstructed transmission tree which individuals were likely to infect other individuals. By reconstructing dated phylogenetic trees, we can also learn about the tree generating process parameters. For example, we can estimate and predict how fast epidemics spread or how fast new species arise or go extinct. In immunology, dating HIV antibody lineages can be important for vaccine design.

### David Fletcher

*Department of Mathematics and Statistics*

Date: Thursday 19 April 2018

### Andrew Anglemyer

*Naval Postgraduate School, California*

Date: Wednesday 4 April 2018

~~Dr. Andrew Anglemyer is an epidemiologist who specializes in infectious diseases and study design methodology at Naval Postgraduate School (and previously at University of California, San Francisco). Since 2009 he has been a member of the World Health Organization’s HIV Treatment Guidelines development committee and was the statistics and methods editor for the HIV/AIDS Cochrane Review Group at UC San Francisco until 2014. Dr. Anglemyer has co-authored dozens of public health and clinical peer-reviewed papers with a wide range of topics including HIV prevention and treatment in high-risk populations, firearms-related injury, paediatric encephalitis and hyponatremia. He received an MPH in Epidemiology/Biostatistics and a PhD in Epidemiology from University of California, Berkeley.~~

### Jason Gilliland

*Western University, Canada*

Date: Thursday 29 March 2018

~~Professor Jason Gilliland is Director of the Urban Development Program and Professor in the Dept of Geography, Dept of Paediatrics, School of Health Studies and Dept of Epidemiology & Biostatistics at Western University in Canada. He is also a Scientist with the Children's Health Research Institute and Lawson Health Research Institute, two of Canada's leading hospital-based research institutes. His research is primarily focused on identifying environmental influences on children’s health issues such as poor nutrition, physical inactivity, obesity, and injury. He is also Director of the Human Environments Analysis Lab (www.theheal.ca), an innovative research and training environment which specializes in community-based research and identifying interventions to inform public policy and neighbourhood design to promote the health and quality of life of children and youth.~~

### Phil Wilcox

*Department of Mathematics and Statistics*

Date: Thursday 29 March 2018

### Thomas Lumley

*University of Auckland*

Date: Thursday 22 March 2018