Festschrift for Lucien Le Cam: Research Papers in Probability and Statistics / Edition 1by David Pollard
Pub. Date: 03/14/1997
Publisher: Springer New York
Contributed in honour of Lucien Le Cam on the occasion of his 70th birthday, the papers reflect the immense influence that his work has had on modern statistics. They include discussions of his seminal ideas, historical perspectives, and contributions to current research - spanning two centuries with a new translation of a paper of Daniel Bernoulli. The volume… See more details below
Contributed in honour of Lucien Le Cam on the occasion of his 70th birthday, the papers reflect the immense influence that his work has had on modern statistics. They include discussions of his seminal ideas, historical perspectives, and contributions to current research - spanning two centuries with a new translation of a paper of Daniel Bernoulli. The volume begins with a paper by Aalen, which describes Le Cams role in the founding of the martingale analysis of point processes, and ends with one by Yu, exploring the position of just one of Le Cams ideas in modern semiparametric theory. The other 27 papers touch on areas such as local asymptotic normality, contiguity, efficiency, admissibility, minimaxity, empirical process theory, and biological medical, and meteorological applications - where Le Cams insights have laid the foundations for new theories.
- Springer New York
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Table of Contents1. O. Aalen, Counting processes and dynamic modelling; 2. R. Beran and P. Millar, Multivariate symmetry models; 3. P. Bickel and Y. Ritov, Local asymptotic normality of ranks and covariates in transformation models; 4. L. Birg and P. Massart, From model selection to adaptive estimation; 5. D. Blackwell, Large deviations for martingales; 6. D. Brillinger, An application of statistics to meterology: Estimation of motion; 7. V. Byers and K. Gorelick, At the interface of statistics and medicine: Conflicting paradigms; 8. D. Dacunha-Castelle, Points singuliers des mod tightness and projective systems in large deviation theory; 10. P. Diaconis and D. Freedman, Consistency of Bayes estimates for nonparametric regression: A review; 11. D. Donoho, Renormalizing experiments for nonlinear functionals; 12. D. Donoho, I. Johnstone, G. Kerkyacharian, and D. Picard, Universial near minimaxity of wavelet shrinkage; 13. R. Dudley, Empirical processes and p-variation; 14. T. Ferguson, A Poisson fishing model; 15. C. Huber, Lower bounds for function estimation; 16. I. Ibragimov and R. Khasminskii, Some estimation problems in infinite dimensional Gaussian white noise; 17.
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