Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Dicker, Lee H."'
Autor:
Ma, Ruijun, Dicker, Lee H.
Linear mixed models (LMMs) are widely used for heritability estimation in genome-wide association studies (GWAS). In standard approaches to heritability estimation with LMMs, a genetic relationship matrix (GRM) must be specified. In GWAS, the GRM is
Externí odkaz:
http://arxiv.org/abs/1901.02936
In stochastic optimization, the population risk is generally approximated by the empirical risk. However, in the large-scale setting, minimization of the empirical risk may be computationally restrictive. In this paper, we design an efficient algorit
Externí odkaz:
http://arxiv.org/abs/1611.06686
Autor:
Feng, Long, Dicker, Lee H.
Nonparametric maximum likelihood (NPML) for mixture models is a technique for estimating mixing distributions that has a long and rich history in statistics going back to the 1950s, and is closely related to empirical Bayes methods. Historically, NPM
Externí odkaz:
http://arxiv.org/abs/1606.02011
Regularization is an essential element of virtually all kernel methods for nonparametric regression problems. A critical factor in the effectiveness of a given kernel method is the type of regularization that is employed. This article compares and co
Externí odkaz:
http://arxiv.org/abs/1605.08839
Autor:
Dicker, Lee H.
Publikováno v:
Bernoulli 2016, Vol. 22, No. 1, 1-37
We study asymptotic minimax problems for estimating a $d$-dimensional regression parameter over spheres of growing dimension ($d\to \infty$). Assuming that the data follows a linear model with Gaussian predictors and errors, we show that ridge regres
Externí odkaz:
http://arxiv.org/abs/1601.03900
Autor:
Dicker, Lee H., Erdogdu, Murat A.
We derive convenient uniform concentration bounds and finite sample multivariate normal approximation results for quadratic forms, then describe some applications involving variance components estimation in linear random-effects models. Random-effect
Externí odkaz:
http://arxiv.org/abs/1509.04388
Autor:
Dicker, Lee H., Zhao, Sihai D.
Nonparametric empirical Bayes methods provide a flexible and attractive approach to high-dimensional data analysis. One particularly elegant empirical Bayes methodology, involving the Kiefer-Wolfowitz nonparametric maximum likelihood estimator (NPMLE
Externí odkaz:
http://arxiv.org/abs/1407.2635
Autor:
Dicker, Lee H.
Residual variance and the signal-to-noise ratio are important quantities in many statistical models and model fitting procedures. They play an important role in regression diagnostics, in determining the performance limits in estimation and predictio
Externí odkaz:
http://arxiv.org/abs/1209.0012
Autor:
Feng, Long, Dicker, Lee H.
Publikováno v:
In Computational Statistics and Data Analysis June 2018 122:80-91
Autor:
Dicker, Lee H., Erdogdu, Murat A.
Publikováno v:
The Annals of Statistics, 2017 Feb 01. 45(1), 386-414.
Externí odkaz:
http://www.jstor.org/stable/44245782