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pro vyhledávání: '"Tan, Xin Lu"'
Autor:
Tan, Xin Lu
In a linear transformation model, there exists an unknown monotone nonlinear transformation function such that the transformed response variable and the predictor variables satisfy a linear regression model. In this paper, we present CENet, a new met
Externí odkaz:
http://arxiv.org/abs/1604.07087
Additive principal components (APCs for short) are a nonlinear generalization of linear principal components. We focus on smallest APCs to describe additive nonlinear constraints that are approximately satisfied by the data. Thus APCs fit data with i
Externí odkaz:
http://arxiv.org/abs/1511.06821
Autor:
Loh, Po-Ling, Tan, Xin Lu
We analyze the statistical consistency of robust estimators for precision matrices in high dimensions. We focus on a contamination mechanism acting cellwise on the data matrix. The estimators we analyze are formed by plugging appropriately chosen rob
Externí odkaz:
http://arxiv.org/abs/1509.07229
Autor:
Cai, T. Tony, Tan, Xin Lu
Motivated by applications in genomics, this paper studies the problem of optimal estimation of a quadratic functional of two normal mean vectors, $Q(\mu, \theta) = \frac{1}{n}\sum_{i=1}^n\mu_i^2\theta_i^2$, with a particular focus on the case where b
Externí odkaz:
http://arxiv.org/abs/1505.01585
Autor:
Cai, T. Tony, Tan, Xin Lu
Publikováno v:
Statistica Sinica, 2017 Apr 01. 27(2), 879-906.
Externí odkaz:
https://www.jstor.org/stable/26383305
Akademický článek
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Publikováno v:
2011 Symposium on Data-Driven Approaches to Droughts
Droughts are used to reflect water shortages. A precise mathematical definition of droughts does not exist, and a drought is loosely worded as “a prolonged absence or marked deficiency of precipitation”. Numerous drought indices have been develop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______540::7714ec487385c339bdad7bf89be699df
http://docs.lib.purdue.edu/cgi/viewcontent.cgi?article=1032&context=ddad2011
http://docs.lib.purdue.edu/cgi/viewcontent.cgi?article=1032&context=ddad2011