 STATISTICS SEMINAR
 Speaker: Dr Robert King, School of Mathematical and Physical Sciences, The University of Newcastle
 Title: Exploring the Quantile Statistical Universe
 Location: Room V107, Mathematics Building (Callaghan Campus) The University of Newcastle
 Time and Date: 3:00 pm, Fri, 10^{th} Mar 2017
 Abstract:
[Technical series]
The standard way of specifying statistical distributions is via their probability mass or probability density function, or via their distribution function, F(x) = P(X ≤ x).
This seminar is a guide to the distributions that can be defined by the inverse of the distribution function, the quantile function, Q(p), where Q(p)=x where x is the smallest x such that P(X ≤ x)=p.
There are theoretical and computational advantages to the quantile approach, which I will illustrate by introducing a number of different distributions, including the generalised lambda, the quantile defined skew logistic, and the logisticexponential.
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 STATISTICS SEMINAR
 Speaker: Dr Robert King, School of Mathematical and Physical Sciences, The University of Newcastle
 Title: Statistics for robot soccer
 Location: Room PG12, Physics Building (Callaghan Campus) The University of Newcastle
 Time and Date: 3:00 pm, Fri, 2^{nd} Sep 2016
 Abstract:
I have been involved with the University of Newcastle's robot soccer team, the NUBots for a number of years. The NUBots compete at the world championships each year. Students from computer science, computer engineering and maths and stats take part.
In this introductory seminar I will explain the ways that statistics is used in robot soccer. Statistics plays a part in localisation, how the robot works out where it is; vision, how the robot identifies the things it sees, and behaviour, how the robot decides what to do. As part of this overview I will introduce the statistical topics of classification, Bayesian belief updating, multivariate distributions, predictive models and crossvalidation.
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 STATISTICS SEMINAR
 Speaker: Dr Robert King, School of Mathematical and Physical Sciences, The University of Newcastle
 Title: LMoments and the Quantile Statistical Universe
 Location: Room VG07, Mathematics Building (Callaghan Campus) The University of Newcastle
 Time and Date: 3:15 pm, Fri, 16^{th} May 2014
 Technical
 Abstract:
Flexibly shaped distributions can provide a wide variety of shapes within the one distributional form. This makes them useful for datafitting, modelling and simulation.
When we consider distributions via the quantile function, rather than their density
or distribution functions, it is possible to see the shape behaviour of some distributions in a richer way.
There are many methods of characterising the properties of a distribution. As well as moments and quantilebased measures of location, scale and shape, there are also
LMoments. LMoments provide an alternative to moments with the advantage of existing for a wider range of shapes than moments do, and having a easier definition in terms of the quantile function than is the case for moments.
This seminar reports on my SSP, including an emphasis on LMoments for the Generalised Lambda Distributions, with an excursus or two on presentation strategies, social boundaries and R Markdown for reproducible research.
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