Skip to content

Faculty Member

Radford M. Neal PhD

Email Address(es)
radford(at)stat.utoronto.ca
Office Phone
(416) 978-4970
Office Address
Dept. of Statistics, University of Toronto 100 St. George Street, 6th floor Toronto, ON M5S 3G3
Website(s)
http://www.cs.utoronto.ca/~radford/
Division(s)/Institute(s)
Biostatistics Division
Position
Professor Emeritus

Research Interests

  • Bayesian modeling
  • Markov chain Monte Carlo methods
  • Applications in bioinformatics & environmental health effects

Primary Teaching Responsibilities

Honours & Awards

Current Research Projects

Representative Publications

  • Neal, R. M. (2003) “Density modeling and clustering using Dirichlet diffusion trees”, in J. M. Bernardo, et al. (editors) Bayesian Statistics 7, pp. 619-629.
  • Neal, R. M. (2003) “Slice sampling” (with discussion), Annals of Statistics, vol. 31, pp. 705-767.
  • Neal, R. M. (2000) “Markov chain sampling methods for Dirichlet process mixture models”, Journal of Computational and Graphical Statistics, vol. 9, pp. 249-265.
  • Neal, R. M. (1998) “Regression and classification using Gaussian process priors” (with discussion), in J. M. Bernardo, et al (editors) Bayesian Statistics 6, Oxford University Press, pp. 475-501.
  • Neal, R. M. (1996) Bayesian Learning for Neural Networks, Lecture Notes in Statistics No. 118, New York: Springer-Verlag.