Results 11 to 20 of about 314 (53)
Comparison of robust tests for genetic association using case-control studies
, 2006 In genetic studies of complex diseases, the underlying mode of inheritance is often not known. Thus, the most powerful test or other optimal procedure for one model, e.g. recessive, may be quite inefficient if another model, e.g.
Freidlin, Boris +2 more
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Cross-validation in nonparametric regression with outliers [PDF]
, 2005 A popular data-driven method for choosing the bandwidth in standard kernel regression is cross-validation. Even when there are outliers in the data, robust kernel regression can be used to estimate the unknown regression curve [Robust and Nonlinear Time ...
Leung, Denis Heng-Yan
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Piecewise linear regularized solution paths
, 2007 We consider the generic regularized optimization problem $\hat{\mathsf{\beta}}(\lambda)=\arg \min_{\beta}L({\sf{y}},X{\sf{\beta}})+\lambda J({\sf{\beta}})$. Efron, Hastie, Johnstone and Tibshirani [Ann. Statist.
Rosset, Saharon, Zhu, Ji
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Recursive Parameter Estimation: Convergence
, 2007 We consider estimation procedures which are recursive in the sense that each successive estimator is obtained from the previous one by a simple adjustment.
Sharia, Teo
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Statistical inference based on robust low-rank data matrix approximation
, 2014 The singular value decomposition is widely used to approximate data matrices with lower rank matrices. Feng and He [Ann. Appl. Stat. 3 (2009) 1634-1654] developed tests on dimensionality of the mean structure of a data matrix based on the singular value ...
Feng, Xingdong, He, Xuming
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Breakdown points for maximum likelihood estimators of location-scale mixtures [PDF]
, 2004 ML-estimation based on mixtures of Normal distributions is a widely used tool for cluster analysis. However, a single outlier can make the parameter estimation of at least one of the mixture components break down. Among others, the estimation of mixtures
Hennig, Christian
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On adaptive estimation of linear functionals [PDF]
, 2005 Adaptive estimation of linear functionals over a collection of parameter spaces is considered. A between-class modulus of continuity, a geometric quantity, is shown to be instrumental in characterizing the degree of adaptability over two parameter spaces
Cai, T. Tony, Low, Mark G.
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The breakdown behavior of the maximum likelihood estimator in the logistic regression model. [PDF]
: In this note we discuss the breakdown behavior of the Maximum Likelihood (ML) estimator in the logistic regression model. We formally prove that the ML-estimator never explodes to infinity, but rather breaks down to zero when adding severe outliers to ...
Croux, Christophe +2 more
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Confidence intervals for average success probabilities [PDF]
, 2014 We provide Buehler-optimal one-sided and some valid two-sided confidence intervals for the average success probability of a possibly inhomogeneous fixed length Bernoulli chain, based on the number of observed successes.
Mattner, Lutz, Tasto, Christoph
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, 2005 This article pursues a statistical study of the Hough transform, the celebrated computer vision algorithm used to detect the presence of lines in a noisy image.
Goldenshluger, Alexander, Zeevi, Assaf
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