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Prof. David Warton

https://research.unsw.edu.au/people/professor-david-warton

Works at – Professor in Ecological Statistics at University of New South Wales

Teaches – Model-based multivariate analysis of abundance data using R (MBMV)

David is an ecological statistician who advances methodology for data analysis in ecology to improve the ability of ecologists to answer important research questions with a focus on developing and translating modern statistical approaches to important ecological problems.

His cross-disciplinary research involves evaluating the methods for data analysis currently used in ecology, and where necessary, developing new methodologies to assist ecologists answer key research questions. This has led to contributions to current practice in ecology in multivariate analysis, allometric line-fitting and the analysis of presence-only data.

Upcoming Events

September 2019

Generalised Linear (GLM), Nonlinear (NLGLM) And General Additive Models (GAM) (GNAM01)

9 September 2019 - 13 September 2019
PS statistics head office, 53 Morrison Street
Glasgow, Scotland G5 8LB United Kingdom

Course Overview: To find out more or to book online via our sister company (PS statistics) use the link below… https://www.psstatistics.com/course/generalised-linear-glm-nonlinear-nlglm-and-general-additive-models-gam-gnam01/ “This was by far the most useful statistic-related course I’ve done to date and I enjoyed all aspects of the course. The course was useful because it put into prospective the ecology aspect within the statistics. All parameters were explained in an ecological manner which made the math aspect much clearer. It helped to change the view I’ve got…

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Structural Equation Modelling and Path Analysis (SMPA01)

16 September 2019 - 20 September 2019
PS statistics head office, 53 Morrison Street
Glasgow, Scotland G5 8LB United Kingdom

Course Overview: To find out more or to book online via our sister company (PS statistics) use the link below… https://www.psstatistics.com/course/structural-equation-modelling-and-path-analysis-smpa01/ “This was by far the most useful statistic-related course I’ve done to date and I enjoyed all aspects of the course. The course was useful because it put into prospective the ecology aspect within the statistics. All parameters were explained in an ecological manner which made the math aspect much clearer. It helped to change the view I’ve got…

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Data Science/Analytics using Python (DSAP01)

23 September 2019 - 27 September 2019
PS statistics head office, 53 Morrison Street
Glasgow, Scotland G5 8LB United Kingdom

Course Overview: Coming soon... To find out more or to book online via our sister company (PS statistics) use the link below… https://www.psstatistics.com/course/data-science-analytics-using-python-dsap01/ “This was by far the most useful statistic-related course I’ve done to date and I enjoyed all aspects of the course. The course was useful because it put into prospective the ecology aspect within the statistics. All parameters were explained in an ecological manner which made the math aspect much clearer. It helped to change the view…

Find out more »
October 2019

Introduction to Behavioural data analysis using R (IBDA01)

14 October 2019 - 18 October 2019
PS statistics head office, 53 Morrison Street
Glasgow, Scotland G5 8LB United Kingdom

Course Overview: Coming soon... To find out more or to book online via our sister company (PS statistics) use the link below… https://www.psstatistics.com/course/introduction-to-behavioural-data-analysis-using-r-ibda01/ “This was by far the most useful statistic-related course I’ve done to date and I enjoyed all aspects of the course. The course was useful because it put into prospective the ecology aspect within the statistics. All parameters were explained in an ecological manner which made the math aspect much clearer. It helped to change the view…

Find out more »
November 2019

Behavioural data analysis using maximum likelihood in R (BDML02)

4 November 2019 - 8 November 2019
PS statistics head office, 53 Morrison Street
Glasgow, Scotland G5 8LB United Kingdom

Course Overview: This 5-day course will involve a combination of lectures and practical sessions. Students will learn to build and fit custom models for analysing behavioural data using maximum likelihood techniques in R. This flexible approach allows a researcher to a) use a statistical model that directly represents their hypothesis, in cases where standard models are not appropriate and b) better understand how standard statistical models (e.g. GLMs) are fitted, many of which are fitted by maximum likelihood. Students will…

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