Computing Science and Statistics; Proceedings of the 26th Symposium on the Interface, 319-323.
Click here to download the paper.
Canty, A. J. and Davison, A. C. (2000).
Contribution to the discussion of
"The Estimating Function Bootstrap" by F. Hu and J. D.
Kalbfleisch.
Canadian Journal of Statistics 28.
Canty, A. J. and Davison, A. C. (1999).
Resampling-based variance estimation for labour force surveys.
The Statistician 48 379-391.
Click here
to read the abstract.
Canty, A. J. and Davison, A. C. (1999).
Implementation of saddlepoint approximations in resampling problems.
Statistics and Computing 9, 9-15.
Click here
to read the abstract.
Canty, A. J. (1999) Hypothesis testing for convergence of the
Gibbs sampler.
Journal of Computational and Graphical Statistics
8 93-108.
Click here
to read the abstract.
Canty, A. J. (1998). An S-Plus Library
for Resampling Methods.
Computing Science and Statistics:
Proceedings of the 30th Symposium on the Interface, 236-241.
The paper can be downloaded from
here.
Canty, A. J. (1997) An S-Plus library for resampling
methods.
Software released in conjunction with
Davison and Hinkley
(1997).
The software can also be downloaded from
here.
Canty, A. J., Davison, A. C. and Hinkley, D. V. (1996) Contribution
to the discussion of "Bootstrap confidence intervals"
by DiCiccio,
T. J. and Efron, B.
Statistical Science, 11, 214-219.
Canty, A. J. and Davison A. C. (1996) Implementation of saddlepoint
approximations
to bootstrap distributions.
Computing Science and Statistics;
Proceedings of the 28th Symposium on the Interface,248-253.
Click here
to download the paper.
Canty, A. J. (1995) A System to Test for Convergence of the
Gibbs Sampler.
PhD Thesis, Department of Statistics, University of Toronto,
Canada.
Click here to read the abstract of the
thesis.
The entire thesis (985K, compressed postscript) can be downloaded
here
.
Canty, A. J. (1994) Applied convergence diagnostics for the Gibbs
sampler.
Computing Science and Statistics; Proceedings of the 26th Symposium on the
Interface, 319-323.
Click here
to download the paper.