School of Mathematics and Statistics  
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School of Mathematics and Statistics / Seminars & Conferences / Workshop |
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The meeting will be held in Room 173, Carslaw Building, University of Sydney on 31 March and 1 April, 2005.
Thursday 31 March, 2005
9.00 Registration
9.15 Welcome – Don Taylor, Head of School
9.30 Elvezio Ronchetti, University of Geneva: Robust second order accurate inference for generalized linear models.
10.15 Brenton Clarke, Murdoch University: Asymptotic theory associated with M-estimators when dealing with multiple roots.
11.00 Morning Tea
11.30 Steven Stern, Australian National University: Simple and accurate one-sided inferences based on a class of M-estimators.
12.15 Robert Staudte, La Trobe University: The relationship between evidence for one- and two-sided alternatives, with applications to parameter estimation using acceptability profiles.
1.00 Lunch
2.00 Andrzej Kozek, Macquarie University: On smoothing and on reducing variance of statistical functionals.
2.45 Alan Welsh, Australian National University: McCullagh’s analysis of the bootstrap on exchangeable arrays.
3.30 Afternoon Tea
4.00 Spiridon Penev, University of NSW: Nonparametric and semiparametric efficiency concepts for Markov chain models.
4.45 Michael Stewart, University of Sydney: Power of tests of no mixture at the detection boundary.
7.00 Dinner — For all interested, dinner will be arranged at a nearby restaurant.
Friday 1 April, 2005
9.00 Wang Zhou, National University of Singapore: A note on saddlepoint approximations in resampling methods.
9.45 Qiying Wang, University of Sydney: On the self-normalized Cramer-type large deviation.
10.30 Morning Tea
11.00 Peter Hall, Australian National University: Properties of nearest-neighbour classifiers.
11.45 Marc Raimondo, University of Sydney: Adaptive boxcar deconvolution : some asymptotic results.
12.30 Lunch
1.45 Bing-yi Jing, Hong Kong University of Science and Technology: Saddlepoint approximation for t-statistics with no conditions.
2.30 John Robinson, University of Sydney: Empirical saddlepoint approximations in samples from a finite population.
3.15 Afternoon Tea — end of meeting.