Clinical Epidemiology & Biostatistics
Angelo J. Canty
BSc (University College, Cork), MSc(Toronto), PhD (Toronto)Assistant Professor, Department of Mathematics & Statistics
Associate Member, Department of Clinical Epidemiology & Biostatistics
905.525.9140 x27079
905.522.0935
cantya@mcmaster.ca
McMaster University
Department of Mathematics and Statistics
1280 Main Street West
Hamilton, Ontario
L8S 4K1
Office location: HH-209
Academic Interests
My research interests are mainly in the areas of computational statistics such as Monte Carlo Markov Chain methodology; bootstrap and other resampling methods; Methods for the analysis of data from genetic microarray experiments; graphical methods; Monte Carlo Inference; and Efficient computer implementation of statistical algorithms.
Selected Publications
- Babu, G. J., Canty, A. J. and Chaubey, Y. P. (2002) Application of Bernstein Polynomials for Smooth Estimation of a Distribution and Density Function. Journal of Statistical Planning and Inference, 105, 377–392
- Canty, A. J. and Davison, A. C. (2000) Discussion of “The Estimating Function Bootstrap” by F. Hu and J. D. Kalbfleisch. Canadian Journal of Statistics 28, 489–493.
- Canty, A. J. (1999) Hypothesis Tests of Convergence in Markov Chain Monte Carlo. Journal of Computational and Graphical Statistics, 8, 93–108
- Canty, A. J. and Davison, A. C. (1999) Implementation of Saddlepoint Approximations in Resampling Problems. Statistics and Computing, 9, 9–15.
- Canty, A. J. and Davison, A. C. (1999) Resampling-based Variance Estimation for Labour Force Surveys. The Statistician, 48, 379–391.
- Canty, A. J., Davison, A. C. and Hinkley, D. V. (1996) Reliable Confidence Intervals; A Discussion of “Bootstrap Confidence Intervals” by T. J. DiCiccio and B. Efron, Statistical Science 11, 214–219.