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 Electronic Journal of Probability > Vol. 10 (2005) > Paper 19 open journal systems 


Large Deviations on Moment Spaces

Li-Vang Lozada-Chang, Université Paul Sabatier, France


Abstract
In this paper we study asymptotic behavior of some moment spaces. We consider two different settings. In the first one, we work with ordinary multi-dimensional moments on the standard $m$-simplex. In the second one, we deal with the trigonometric moments on the unit circle of the complex plane. We state large and moderate deviation principles for uniformly distributed moments. In both cases the rate function of the large deviation principle is related to the reversed Kullback information with respect to the uniform measure on the integration space.


Full text: PDF

Pages: 662-690

Published on: July 1, 2005


Bibliography
  1. Billingsley, Patrick. Convergence of probability measures. Second edition. Wiley Series in Probability and Statistics: Probability and Statistics. A Wiley-Interscience Publication. John Wiley & Sons, Inc., New York, 1999. MR1700749
  2. Bretagnolle, Jean. Formule de Chernoff pour les lois empiriques de variables à valeurs dans des espaces généraux. (French) Astérisque 68, 33-52 (1979). Math. Review number not available.
  3. Borwein, J. M.; Lewis, A. S. Partially-finite programming in $Lsb 1$ and the existence of maximum entropy estimates. SIAM J. Optim. 3 (1993), no. 2, 248--267. MR1215444
  4. Chang, Fu Chuen; Kemperman, J. H. B.; Studden, W. J. A normal limit theorem for moment sequences. Ann. Probab. 21 (1993), no. 3, 1295--1309. MR1235417
  5. Dette, Holger; Studden, William J. The theory of canonical moments with applications in statistics, probability, and analysis. Wiley Series in Probability and Statistics: Applied Probability and Statistics. A Wiley-Interscience Publication. John Wiley & Sons, Inc., New York, 1997. MR1468473
  6. Dudley, R. M. Real analysis and probability. Revised reprint of the 1989 original. Cambridge Studies in Advanced Mathematics, 74. Cambridge University Press, Cambridge, 2002. MR1932358
  7. Dembo, Amir; Zeitouni, Ofer. Large deviations techniques and applications. Second edition. Applications of Mathematics (New York), 38. Springer-Verlag, New York, 1998. MR1619036
  8. Gamboa, F.; Gassiat, E. Bayesian methods and maximum entropy for ill-posed inverse problems. Ann. Statist. 25 (1997), no. 1, 328--350. MR1429928
  9. Gamboa, Fabrice; Lozada-Chang, Li-Vang. Large deviations for random power moment problem. Ann. Probab. 32 (2004), no. 3B, 2819--2837. MR2078558
  10. Grenander, Ulf; Szegö, Gabor. Toeplitz forms and their applications. California Monographs in Mathematical Sciences University of California Press, Berkeley-Los Angeles 1958. MR0094840
  11. Gupta, J. C. The moment problem for the standard $k$-dimensional simplex. Sankhya Ser. A 61 (1999), no. 2, 286--291. MR1714879
  12. Gupta, J. C. Partial Hausdorff sequences and symmetric probabilities on finite products of ${0,1}$. Sankhya Ser. A 61 (1999), no. 3, 347--357. MR1743544
  13. Gupta, J. C. Completely monotone multisequences, symmetric probabilities and a normal limit theorem. Proc. Indian Acad. Sci. Math. Sci. 110 (2000), no. 4, 415--430. MR1926231
  14. Krein, M. G.; Nudelman, A. A. The Markov moment problem and extremal problems. Translations of Mathematical Monographs, Vol. 50. American Mathematical Society, Providence, R.I., 1977. MR1743544
  15. Najim, Jamal. A Cramér type theorem for weighted random variables. Electron. J. Probab. 7 (2002), no. 4, 32 pp. (electronic). MR1887624
  16. Skibinsky, Morris. Minimax estimation of a random probability whose first $N$ moments are known. Ann. Math. Statist. 39 1968 492--501. MR0221650
  17. Skibinsky, Morris. Some striking properties of binomial and beta moments. Ann. Math. Statist. 40 1969 1753--1764. MR0254899
  18. Shohat, J. A.; Tamarkin, J. D. The Problem of Moments. American Mathematical Society Mathematical surveys, vol. II. American Mathematical Society, New York, 1943. MR0008438
  19. van der Vaart, A. W. Asymptotic statistics. Cambridge Series in Statistical and Probabilistic Mathematics. Cambridge University Press, Cambridge, 1998. MR1652247
















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Electronic Journal of Probability. ISSN: 1083-6489