Zobrazeno 1 - 10
of 238
pro vyhledávání: '"Lindsay Bruce G"'
Publikováno v:
BMC Bioinformatics, Vol 12, Iss 1, p 111 (2011)
Abstract Background MixtureTree v1.0 is a Linux based program (written in C++) which implements an algorithm based on mixture models for reconstructing phylogeny from binary sequence data, such as single-nucleotide polymorphisms (SNPs). In addition t
Externí odkaz:
https://doaj.org/article/64a4a884ceca462e84bbe1127f91c781
Autor:
Marion Josh, Wall P Kerr, Cui Liying, Lindsay Bruce G, Wang Ji-Ping Z, Zhang Jiaxuan, dePamphilis Claude W
Publikováno v:
BMC Bioinformatics, Vol 6, Iss 1, p 300 (2005)
Abstract Background In expressed sequence tag (EST) sequencing, we are often interested in how many genes we can capture in an EST sample of a targeted size. This information provides insights to sequencing efficiency in experimental design, as well
Externí odkaz:
https://doaj.org/article/5c8ab09847374ff4a53b0c7b942c6e1a
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