Prof John Hinde

Emeritus Professor of Statistics

Research interests

  • Statistical Modelling
  • Statistical Computing

Research overview

I am Emeritus Professor of Statistics and now devote my time to research collaborations and consultancy, both within Ireland and internationally. My main interests are in both the theory and practice of statistical modelling, with particular focus on the analysis of discrete data.I have always been a strong supporter of various statistical societies and have served as President of the Irish Statistical Association, the European Region of the International Association for Statistical Computing, the Statistical Modelling Society, and, most recently, the International Biometric Society.I was one the of founding editors of the Statistical Modelling Journal and have served as an associate editor for several other journals.

Selected publications

  • Hinde, J.P. and Demétrio, C.G.B (1998) Overdispersion: Models and estimation. Computational Statistics and Data Analysis., 27, 151-170.
  • Ridout, M.S., Hinde, J.P. and Demétrio, C.G.B (2001) A score test for testing a zero-inflated Poisson regression model against zero-inflated negative binomial alternatives. Biometrics, 57, 219-223.
  • Coffey, Norma, Hinde, John and Holian, Emma (2014) Clustering longitudinal profiles using P-splines and mixed effects models applied to time-course gene expression data. Computational Statistics and Data Analysis, 71, 14-29.
  • Alvarez-Iglesias, A., Newell, J. Scarrott, C. and Hinde, J. (2015) Summarising censored survival data using the mean residual life function. Statistics in Medicine., 34(11), 1965–1976.
  • Cóilín Minto, John Hinde and Rui Coelho (2018) Including immature and unclassified individuals in sex-specific growth models. Canadian Journal of Fisheries and Aquatic Sciences. 75, 282-292. https://doi.org/10.1139/cjfas-2016-0450
  • Rafael A. Moral,  John Hinde,  Clarice G.B. Demétrio,  Carolina Reigada and  Wesley A.C. Godoy. (2018) Models for jointly estimating abundance of unmarked predator and prey populations subject to imperfect detection. Journal of Agricultural, Biological and Environmental Statistics, 23(1), 20-38. https://doi.org/10.1007/s13253-017-0316-3
For a full list of publications see publications.