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Statistical applications in sport

 
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Wednesday 11 November 2015, 04:00pm - 06:00pm

 
Location Royal Statistical Society, 12 Errol Street, London, EC1Y 8LX

This joint meeting will feature talks from two excellent speakers, covering the crossover between statistics and computing involved in their work developing statistical applications in sport.

FATIGUE IN ELITE SPORTS: DATA WRANGLING AND STATISTICAL MODELLING OF AVAILABILITY TO TRAIN
Dr. Ioannis Kosmidis (University College London)

Recent technological advances have allowed the frequent and simultaneous measurement of multiple physiological and psychological aspects of athletes and of their training at small cost. The resulting data are increasingly being used by elite sport teams to quantify and monitor athlete fatigue and identify the variables that are important for explaining it, with the aim of preventing non-functional overreaching of the athletes.

This talk will discuss the challenges involved in recording and preparing fatigue-related data for statistical analysis, and presents results from ongoing research on modelling availability to train in terms of other fatigue-related variables. Special care is taken to use models that are able to account for both the heterogeneity between athletes and the natural time dependence between measurements.

A goal of the talk is to promote modes of data management and statistical analyses, that can potentially be beneficial for a range of data-rich elite team sports.

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ADVENTURES IN SPORTS MODELLING
Prof. William Knottenbelt (Imperial College London)

As a leading authority on statistical modelling of tennis, Prof. Knottenbelt is the author of a number of published journal articles on the subject. Within the domain he is an advisor to a large number of past and present undergraduate and postgraduate student projects and undertakes consulting for partners in industry.

Through this experience, Prof. Knottenbelt has explored and continues to explore a large variety of computationally intensive statistically based applications in tennis. These range from predictive models for outcomes of tennis matches to real time image analysis for ball and player tracking applications.

This talk will give details of some of the successes of Prof. Knottenbelt’s work and some of the challenges along the way. 

Contact Register by email to This email address is being protected from spambots. You need JavaScript enabled to view it.

Tea and coffee from 3.30pm

Organiser Name Dave Hastie

Email Address This email address is being protected from spambots. You need JavaScript enabled to view it.

Organising Group(s) RSS Statistical Computing and Statistics in Sport Sections