David Pitt

Professor

20022020
If you made any changes in Pure these will be visible here soon.

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

Disability Mathematics
mathematics Social Sciences
Transition Probability Mathematics
Basic mathematics Mathematics
graduate Social Sciences
student Social Sciences
Kernel Density Estimation Mathematics
Bayesian Approach Mathematics

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2008 2020

Research Output 2002 2018

Basic mathematics
mathematics
university
gender
mathematics studies

Smoothing Poisson common factor model for projecting mortality jointly for both sexes

Pitt, D., Li, J. & Lim, T. K., May 2018, In : ASTIN Bulletin. 48, 2, p. 509-541 33 p.

Research output: Contribution to journalArticleResearchpeer-review

Mortality
Smoothing
Common factors
Generalized linear model
Death rate

Application of bivariate negative binomial regression model in analysing insurance count data

Liu, F. & Pitt, D., Sep 2017, In : Annals of Actuarial Science. 11, 2, p. 390-411 22 p.

Research output: Contribution to journalArticleResearchpeer-review

Regression model
Negative binomial regression
Insurance
Count data
Shrinkage

A Survey of actuarial graduates’ views on their education

Butt, A., Farmer, J., Pitt, D. & Salmona, M., 2016, In : Australian journal of actuarial practice. 4, p. 35-49 15 p.

Research output: Contribution to journalArticleResearchpeer-review

graduate
education
university education
student
university

Estimation of parametric and nonparametric models for univariate loss distributions in finance—an approach using R

Pitt, D., Guillen, M. & Bolancé, C., 2016, In : Journal of Financial Education. 42, 1/2, p. 154-175 22 p.

Research output: Contribution to journalArticleResearchpeer-review

Nonparametric model
Finance
Parametric model
Loss distribution
Symmetry