Publications Meetings The Profession Membership Programs Math Samplings Policy & Advocacy In the News About the AMS
|
   
Mobile Device Pairing
Proceedings of the American Mathematical Society
Proceedings of the American Mathematical Society
ISSN 1088-6826(e) ISSN 0002-9939(p)

     

Uniqueness of the maximum likelihood estimator for $ k$-monotone densities

Author(s): Arseni Seregin
Journal: Proc. Amer. Math. Soc. 138 (2010), 4511-4515.
MSC (2000): Primary 62G07
Posted: July 12, 2010
MathSciNet review: 2680075
Retrieve article in: PDF

Abstract | References | Similar articles | Additional information

Abstract: We prove uniqueness of the maximum likelihood estimator for the class of $ k-$monotone densities.


References:

1.
Balabdaoui, F. (2004).
Nonparametric estimation of $ k$-monotone density: A new asymptotic distribution theory.
Ph.D. thesis, University of Washington, Department of Statistics.

2.
Balabdaoui, F. and Wellner, J. (2010).
Estimation of a $ k$-monotone density: characterizations, consistency and minimax lower bounds. Statist. Neerl. 64, 45-70.

3.
Balabdaoui, F. and Wellner, J. A. (2007).
Estimation of a $ k$-monotone density: limit distribution theory and the spline connection.
Ann. Statist. 35, 2536-2564. http://dx.doi.org offcampus.lib.washington.edu/10.1214/009053607000000262. MR 2382657 (2009b:62077)

4.
Groeneboom, P., Jongbloed, G. and Wellner, J. A. (2001).
Estimation of a convex function: characterizations and asymptotic theory. Ann. Statist. 29, 1653-1698. MR 1891742 (2003a:62047)

5.
Jewell, N. P. (1982).
Mixtures of exponential distributions. Ann. Statist. 10, 479-484. MR 653523 (83f:62057)

6.
Lindsay, B. G. (1983a).
The geometry of mixture likelihoods: a general theory. Ann. Statist. 11, 86-94. MR 684866 (85m:62008a)

7.
Lindsay, B. G. (1983b).
The geometry of mixture likelihoods. II. The exponential family. Ann. Statist. 11, 783-792. MR 707929 (85m:62008b)

8.
Lindsay, B. G. (1995).
Mixture Models: Theory, Geometry and Applications, vol. 5. NSF-CBMS Regional Conference Series in Probability and Statistics, IMS, Hayward, CA.

9.
Lindsay, B. G. and Roeder, K. (1993).
Uniqueness of estimation and identifiability in mixture models. Canad. J. Statist. 21, 139-147. http://dx.doi.org.offcampus.lib. washington.edu/10.2307/3315807. MR 1234757 (94k:62062)

10.
Rockafellar, R. T. (1970).
Convex analysis. Princeton Mathematical Series, No. 28, Princeton University Press, Princeton, N.J. MR 0274683 (43:445)

11.
Schoenberg, I. J. and Whitney, A. (1953).
On Pólya frequence functions. III. The positivity of translation determinants with an application to the interpolation problem by spline curves. Trans. Amer. Math. Soc. 74, 246-259. MR 0053177 (14:732g)

Similar Articles:

Retrieve articles in Proceedings of the American Mathematical Society with MSC (2000): 62G07

Retrieve articles in all Journals with MSC (2000): 62G07


Additional Information:

Arseni Seregin
Affiliation: Department of Statistics, University of Washington, Box 354322, Seattle, Washington 98195-4322
Email: arseni@stat.washington.edu

DOI: 10.1090/S0002-9939-2010-10496-3
PII: S 0002-9939(2010)10496-3
Keywords: Uniqueness, $k$–monotone density, mixture models, density estimation, maximum likelihood, nonparametric estimation, shape constraints
Received by editor(s): December 20, 2009
Received by editor(s) in revised form: March 2, 2010
Posted: July 12, 2010
Additional Notes: This research was supported in part by NSF grant DMS-0804587
Communicated by: Edward C. Waymire
Copyright of article: Copyright 2010, American Mathematical Society




AMS and Social Media LinkedIn Facebook Podcasts Twitter YouTube RSS Feeds Blogs Wikipedia