Zobrazeno 1 - 10
of 284
pro vyhledávání: '"Lindsay Bruce G"'
Autor:
Qing Wang
Publikováno v:
Wiley StatsRef: Statistics Reference Online. :1-2
Publikováno v:
New Advances in Statistics and Data Science 2017, 3-26
Statistical distances, divergences, and similar quantities have a large history and play a fundamental role in statistics, machine learning and associated scientific disciplines. However, within the statistical literature, this extensive role has too
Externí odkaz:
http://arxiv.org/abs/1612.07408
Publikováno v:
Statistica Sinica, 2020 Jan 01. 30(3), 1235-1254.
Externí odkaz:
https://www.jstor.org/stable/26968927
Autor:
Sun, Jianping1 (AUTHOR) j_sun4@uncg.edu, Lindsay, Bruce G.2 (AUTHOR), Rhodes, Grace E.3 (AUTHOR)
Publikováno v:
Journal of Statistical Computation & Simulation. May2024, Vol. 94 Issue 7, p1389-1415. 27p.
Autor:
Liu, Jiawei, Lindsay, Bruce G.
Publikováno v:
Annals of Statistics 2009, Vol. 37, No. 6A, 3644-3659
We introduce a semiparametric ``tubular neighborhood'' of a parametric model in the multinomial setting. It consists of all multinomial distributions lying in a distance-based neighborhood of the parametric model of interest. Fitting such a tubular m
Externí odkaz:
http://arxiv.org/abs/0909.0608
Publikováno v:
Annals of Statistics 2008, Vol. 36, No. 2, 983-1006
This work builds a unified framework for the study of quadratic form distance measures as they are used in assessing the goodness of fit of models. Many important procedures have this structure, but the theory for these methods is dispersed and incom
Externí odkaz:
http://arxiv.org/abs/0804.0991
Publikováno v:
Biometrika, 2018 Mar 01. 105(1), 225-232.
Externí odkaz:
https://www.jstor.org/stable/48546298
Autor:
Mao, Chang Xuan, Lindsay, Bruce G.
Publikováno v:
Annals of Statistics 2007, Vol. 35, No. 2, 917-930
Estimating the unknown number of classes in a population has numerous important applications. In a Poisson mixture model, the problem is reduced to estimating the odds that a class is undetected in a sample. The discontinuity of the odds prevents the
Externí odkaz:
http://arxiv.org/abs/0708.2153
Autor:
Ray, Surajit, Lindsay, Bruce G.
In this article we propose a general class of risk measures which can be used for data based evaluation of parametric models. The loss function is defined as generalized quadratic distance between the true density and the proposed model. These distan
Externí odkaz:
http://arxiv.org/abs/math/0611544
An important and yet difficult problem in fitting multivariate mixture models is determining the mixture complexity. We develop theory and a unified framework for finding the nonparametric maximum likelihood estimator of a multivariate mixing distrib
Externí odkaz:
http://arxiv.org/abs/math/0606077