
Publications and working papers
 A class of weighted estimating equations for semiparametric transformation models with missing covariates. with Yang Ning and Grace Yi, Scandinavian Journal of Statistics Early View July 2017. doi: 10.1111/sjos.12289.
 Accurate directional inference for vector parameters. with D.A.S. Fraser and N. Sartori, Biometrika 103, 625639.
 Ten Simple Rules for Effective Statistical Practice. with R.E. Kass, B.S. Caffo, M. Davidian, X.L. Meng, B. Yu. PLoS Computational Biology 12(6): e1004961. doi:10.1371/journal.pcbi.1004961.
,
thanks to COS.
 Crisis in Science? or Crisis in Statistics! Mixed messages in statistics with impact on science. with D. Fraser. J. Statist. Research, to appear.
 Statistical inference, learning and models in big data, with B. Franke, J.F. Plante and 11 others. International Statistical Review 84, 371389. Selected for the I S Review session at the World Statistics Congress, Marrakech, 2017. Slides.
 Approximate Likelihoods in Proceeding of the International Congress of Industrial and Applied Mathematics, eds L. Guo, Z.M. Ma. Higher Education Press: Beijing.
 Principles of statistical inference with David Cox. 2015 International Statistical Review 83, 298 – 308. Online.
 Signficance, Tests of.
in International Encyclopedia of the Social and Behavioural Sciences, 2nd ed., Volume 21, 957 – 962.
 Statistical Sufficiency. in International Encyclopedia of the Social and Behavioural Sciences, 2nd ed., Vol ume 3, 418 – 422.
 Approximations to ratios of moments of cumulative sums. with Xiaoping Shi and Yuehua Wu. 2014 Canad. J. Statist. 42, 325 – 336.
 Reducing the sensitivity to nuisance parameters in pseudolikelihood functions. with Yang Ning and KungYee Liang. Canad. J. Statist. 42, 544 – 562.
 Approximate Bayesian computation with modified loglikelihood ratios. with Laura Ventura. 2014 Metron 72, 231 – 245.
 Saddlepoint approximation of nonlinear moments. with Xiaoping Shi and XiangSheng Wang. 2014 Statistica Sinica 94, 1597 – 1611.
 "The whole women thing" in Past, Present and Future of Statistics, X. Lin et al., eds. Chapman and Hall/CRC, pp 217 – 225.
 Accurate directional inference for vector parameters in linear exponential families. with Anthony Davison, Don Fraser, Nicola Sartori. 2014 JASA 109, 302 – 314.
 Aspects of likelihood inference. 2013 Bernoulli, 19, 1404 – 1418. Also at http://arxiv.org/abs/1309.7816.
 Likelihood inference for complex settings. 2012 Canad. J. Statist. 40, 731 – 744.

Testing the structure of the covariance matrix with fewer observations than the dimension. with Muni Srivastava. 2012 J. Multiv. Anal. 112, 156 – 171.

On default priors and approximate location models, with Don Fraser. 2011 Brazilian Journal of Statistics 25, 353 – 361.

"Statistics in the News", with JeanFrançois Plante. 2011 American Statistician 65, 80 – 88.
Poster (JSM 2012).

On the robustness of maximum composite likelihood, with Ximing Xu. 2011 Journal of Statistical Planning and Inference, 141, 3047 – 3054.

An overview of composite likelihood methods. with Cristiano Varin and David Firth. 2011 Statistica Sinica, 21, 5 – 42.

Likelihood inference. 2010. Wiley Interdisciplinary Reviews in Computational Statistics, 5, 517 – 525.

Mean likelihood and higher order approximations. with Don Fraser. 2010. Biometrika 97, 159 – 170.

A note on misspecified estimating functions with Grace Yun Yi. 2010. Statistica Sinica 20, 1749 – 1769.

Default priors for Bayesian and frequentist inference with Don Fraser, Elisabeta Marras, Grace Yun Yi. March, 2010. JRSS B, 72, 631 – 654.

Ancillary Statistics: a Review. with Malay Ghosh and Don Fraser. 2010. Statistica Sinica 20, 1309 – 1332.

Assessing sensitivity to priors using higher order approximations. with Ye Sun. March, 2009. Communications in Statistics, 39, 1373 – 1386.

On probability matching priors
with AnaMaria Staicu. Canadian Journal of Statistics, 36, 613 – 622. (2008)

Applied Asymptotics: Case studies in small sample statistics.
A.R. Brazzale, A.C. Davison and N. Reid, Cambridge University Press. (2007)

Statistical issues arising in
PhyStat2005. in Statistical Problems in Particle Physics,
Astrophysics and Cosmology, L. Lyons and M. Unel, Eds. World Scientific, London. (2006)

Improved likelihood inference for discrete data. (2006)
with Anthony Davison and Don Fraser, JRSS B 68 , 495 – 508.

Theoretical statistics and asymptotics.
Based on talk given at Neuchatel, July 2004.
Appeared in A Celebration of Statistics: Papers in Honour of D.R. Cox,
eds. A.C. Davison, Y.Dodge, N. Wermuth, pp. 73 – 85 OUP 2005.

Assessing a vector parameter. joint with Don Fraser. in Student
5, 247 – 256 (2006).
 A
note on pseudolikelihood constructed from marginal densities. with David
Cox. Biometrika 91,729737 in 2004.
 Likelihood
inference with nuisance parameters. based on talk given at PhyStat
2003. with Don Fraser Proc. PHYSTAT2003, L.Lyons, R. Mount, R. Reitmeyer, eds. SLAC eConf C030908, 265271.
 Inference
for bounded parameters. with Augustine Wong and Don Fraser.
Phys. Rev. D 69, 033002.
 Asymptotics
and the theory of inference. Annals of Statistics , 31, 16951731.
 Some
aspects of matching priors. with Rahul Mukerjee and Don Fraser. in Mathematical
Statistics and Applications: Festschrift for C. VanEeden (M. Moore, S.
Froda, C. L\'eger, eds.) 3144. Lecture Notes Monograph Series 42,
Institute of Mathematical Statistics, Hayward.
 Approximate
posterior quantiles of parametric function with application to Bayesian
tolerance limits. with Rahul Mukerjee. Final version Biometrika,
88 587592.
 On
the Bayesian approach for frequentist computations. with Rahul Mukerjee.
Braz. J. Statist. 14, 159166.
 Likelihood.
JASA Vol. 95, 13351340 in a series of vignettes on
theory and methods.
 Strong
matching of frequentist and Bayesian inference. with Don Fraser (1999).
presented by Don at the International Workshop on Objective Bayesian
Methodology in Valencia, June 911, 1999. Appeared in J. Statist. Plann.
Infer. (2002; 263285). PDF
version
 On
a property of matching priors: matching the alternative coverage
probabilities. with Rahul Mukerjee (1997). Appeared in Biometrika,
June, 1999.
 On
confidence intervals associated with the usual and adjusted likelihoods.
with Rahul Mukerjee (1997). (compressed postscript) JRSSB,
December, 1999
 Comparison
of test statistics via expected lengths of confidence intervals. with
Rahul Mukerjee (1996). Appeared in J. Statist. Planning Infer. (2001,
141151).

A simple general formula for tail probabilities for frequentist and Bayesian
inference. with Don Fraser and Jian Rong Wu. Implementation of third
order tail probability formula in Maple, with examples. Biometrika,
June, 1999.
The programs are provided and described in a latex
file .
 Estimating
functions and higher order significance. with Don Fraser (1996). in Selected
Proceedings of the Symposium on Estimating Functions, I.V. Basawa, V.P.
Godambe and R.L. Taylor, eds. 105114. held in Athens, Georgia, March 1996.
 Local
Lyapunov exponents. with Yodit Seifu (1996). Canad. J. Statist.,
December 1997.
 Higher
order results on the likelihood ratio statistic under model misspecification.
with Kalyanee Viraswami (1996). Canad. J. Statist., January, 1998.
 Asymptotic theory and the foundations of statistics. (1995) Title
page: Paper.
This is the KriegerNelson lecture and 1997 in the Canadian
Math. Bulletin.
 Asymptotic
expansions. (1996) pdf
version. Encyclopedia of Statistical Sciences (Update Volume).
