HKUEMS :: Event Details

Seminar on 'Modelling dispersed count with mean-parametrized Conway-Maxwell-...' by Dr. Thomas FUNG
posted by Department of Statistics and Actuarial Science for HKU and Public
Event Type: Public Lecture/Forum/Seminar/Workshop/Conference/Symposium
Event Nature: Science & Technology

Event Details

DEPARTMENT OF STATISTICS AND ACTUARIAL SCIENCE
THE UNIVERSITY OF HONG KONG

Departmental Seminar

Dr. Thomas FUNG
Department of Mathematics and Statistics
Macquarie University
Sydney, Australia

will give a talk

entitled

MODELLING DISPERSED COUNT WITH MEANPARAMETRIZED
CONWAY-MAXWELL-POISSON
(MPCMP)

Abstract

Conway-Maxwell-Poisson (CMP) distributions are flexible generalizations of the Poisson distribution for modelling overdispersed or underdispersed counts. The main hindrance to their wider use in practice seems to be the inability to directly model the mean of counts, making them not compatible with nor comparable to competing count regression models, such as the log-linear Poisson, negative-binomial or generalized Poisson regression models. In this talk, we will illustrates how CMP distributions can be parametrized via the mean, so that simpler and more easily interpretable mean-models can be used, such as a log-linear model. Moreover, this talk introduces the R package which provides a collection of functions for estimation, testing and diagnostic checking for the proposed model. The performance of the R routine against the earlier proposed MATLAB routine will also be discussed. This talk represents some joint work with Alan Huang, Aya Alwan and Justin Wishart.

Date/Time11/10/2018 15:30-16:30
VenueRoom 301, Run Run Shaw Building, HKU
LanguageEnglish
Programmeclick to view
15:15 to 15:30 Refreshments will be served outside Room 301 Run Run Shaw Building
15:30 to 16:30 Seminar

Registration Instruction

Registration is not required.

Contact Information

For further information, please visit:
https://saasweb.hku.hk/seminar/seminar.php

Should you have any enquiries, please feel free to contact Ms. Irene Cheung by email at saas@hku.hk or by phone at 3917 2466 or by fax at 2858 9041.