معرفی
Dr. Angelo J. Canty is an Associate Professor in the Department of Mathematics and Statistics at McMaster University, Canada. His research focuses on computational statistics, genetic data analysis, and resampling methods.
- B.Sc. (1989) from University College Cork, Ireland
- M.Sc. (1991) and Ph.D. (1995) from the University of Toronto
- Postdoctoral work at University of Oxford and EPFL, Lausanne
- Assistant Professor at Concordia University (1998–2001) before joining McMaster
His research spans computational statistics, with key contributions to:
- Markov Chain Monte Carlo convergence diagnostics
- Bootstrap and resampling techniques
- Saddlepoint approximations in statistical inference
- Efficient algorithm implementation for survey data analysis
- Genetic data analysis (microarrays, GWAS)
His publications highlight a focus on automating convergence assessment (1994–1999), resampling for labor statistics (1999), and saddlepoint approximations in resampling (1996–1999). He developed an influential S-Plus library for resampling methods.
Teaching includes:
- Statistics 4C03/6C03: Generalized Linear Models (Undergraduate/Graduate)
- Statistics 752: Linear Models and Experimental Design (Graduate)
۰مقاله منتشرشده
