Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Randy C. S. Lai"'
Publikováno v:
Statistical Theory and Related Fields, Vol 5, Iss 4, Pp 316-331 (2021)
As a classical problem, covariance estimation has drawn much attention from the statistical community for decades. Much work has been done under the frequentist and Bayesian frameworks. Aiming to quantify the uncertainty of the estimators without hav
Externí odkaz:
https://doaj.org/article/855b24c2143f4822a94974f6d03f87f1
Publikováno v:
Journal of Agricultural, Biological and Environmental Statistics. 27:109-124
In many biomedical experiments, such as toxicology and pharmacological dose–response studies, one primary goal is to identify a threshold value such as the minimum effective dose. This paper applies Fisher’s fiducial idea to develop an inference
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a69d5e5ee6ccbf6d7c69e773ebf32b80
https://doi.org/10.1007/s13253-021-00472-0
https://doi.org/10.1007/s13253-021-00472-0
Publikováno v:
Journal of the American Statistical Association. 111:1346-1361
R. A. Fisher, the father of modern statistics, proposed the idea of fiducial inference during the first half of the 20th century. While his proposal led to interesting methods for quantifying uncertainty, other prominent statisticians of the time did
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8692ac724f9370f72168cf27804955c3
https://doi.org/10.1080/01621459.2016.1165102
https://doi.org/10.1080/01621459.2016.1165102
It is not unusual for a data analyst to encounter data sets distributed across several computers. This can happen for reasons such as privacy concerns, efficiency of likelihood evaluations, or just the sheer size of the whole data set. This presents
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33358205af850446e556721cdbe227c6
http://arxiv.org/abs/1805.07427
http://arxiv.org/abs/1805.07427
Publikováno v:
Journal of the American Statistical Association. 110:760-772
In recent years, the ultrahigh-dimensional linear regression problem has attracted enormous attention from the research community. Under the sparsity assumption, most of the published work is devoted to the selection and estimation of the predictor v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c0ca2766fc014ff6b75b43e9c26ef28
https://doi.org/10.1080/01621459.2014.931237
https://doi.org/10.1080/01621459.2014.931237
Statistical inference in high dimensional settings has recently attracted enormous attention within the literature. However, most published work focuses on the parametric linear regression problem. This paper considers an important extension of this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6386965d70b7630595e9dc7cab27463f
Publikováno v:
Stat Theory Relat Fields
As a classical problem, covariance estimation has drawn much attention from the statistical community for decades. Much work has been done under the frequentist and the Bayesian frameworks. Aiming to quantify the uncertainty of the estimators without
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30025993838650a242c9835a2b5e5538
Publikováno v:
Computational Statistics & Data Analysis. 71:849-858
Generalized fiducial inference is closely related to the Dempster-Shafer theory of belief functions. It is a general methodology for constructing a distribution on a (possibly vector-valued) model parameter without the use of any prior distribution.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ea80db3d6bd90e57a2a5fd736132815
https://doi.org/10.1016/j.csda.2013.03.003
https://doi.org/10.1016/j.csda.2013.03.003
Publikováno v:
Signal Processing. 90:303-312
In this article we consider the problem of partitioning a signal sequence into a set of signal sub-sequences, in such a way that each sub-sequence can be adequately modeled by a superposition of different sinusoids. In our formulation, the number of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3ddec7e2002811f9a0284f65127919d
https://doi.org/10.1016/j.sigpro.2009.06.025
https://doi.org/10.1016/j.sigpro.2009.06.025
Publikováno v:
Electron. J. Statist. 6 (2012), 810-842
This paper considers the problem of model selection in a nonparametric additive mixed modeling framework. The fixed effects are modeled nonparametrically using truncated series expansions with B-spline basis. Estimation and selection of such nonparam
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6ee8c8b547202c587bbc06ff582c3de
https://doi.org/10.1214/12-ejs695
https://doi.org/10.1214/12-ejs695