2020

最新文章

• Estimation of the Boundary of a Variable Observed With Symmetric Error AI翻译
  作者：Florens, Jean-Pierre; Simar, Leopold; Van Keilegom, Ingrid
  作者单位：Universite de Toulouse; Universite Toulouse 1 Capitole; Toulouse School of Economics; Universite Catholique Louvain; KU Leuven
  摘要：Consider the model with , where tau is an unknown constant (the boundary of X), Z is a random variable defined on , epsilon is a symmetric error, and epsilon and Z are independent. Based on an iid sample of Y, we aim at identifying and estimating the boundary tau when the law of epsilon is unknown (apart from symmetry) and in particular its variance is unknown. We propose an estimation procedure based on a minimal distance approach and by making use of Laguerre polynomials. Asymptotic results ...
• D-CCA: A Decomposition-Based Canonical Correlation Analysis for High-Dimensional Datasets AI翻译
  作者：Shu, Hai; Wang, Xiao; Zhu, Hongtu
  作者单位：University of Texas System; UTMD Anderson Cancer Center; Purdue University System; Purdue University; University of North Carolina; University of North Carolina Chapel Hill
  摘要：A typical approach to the joint analysis of two high-dimensional datasets is to decompose each data matrix into three parts: a low-rank common matrix that captures the shared information across datasets, a low-rank distinctive matrix that characterizes the individual information within a single dataset, and an additive noise matrix. Existing decomposition methods often focus on the orthogonality between the common and distinctive matrices, but inadequately consider the more necessary orthogona...
• Statistical Computing With R (2nd ed.) AI翻译
  作者：Leng, Ling
  作者单位：Amazon.com
• Theory of Stochastic Objects: Probability, Stochastic Processes and Inference. AI翻译
  作者：Behme, Anita D.
  作者单位：Technische Universitat Dresden
• Measuring Agreement: Models, Methods, and Applications. AI翻译
  作者：Ismail, Noor Azina
  作者单位：Universiti Malaya
• Predicting Clinical Outcomes in Glioblastoma: An Application of Topological and Functional Data Analysis AI翻译
  作者：Crawford, Lorin; Monod, Anthea; Chen, Andrew X.; Mukherjee, Sayan; Rabadan, Raul
  作者单位：Brown University; Brown University; Brown University; Tel Aviv University; Columbia University; Duke University; Duke University; Duke University; Duke University
  摘要：Glioblastoma multiforme (GBM) is an aggressive form of human brain cancer that is under active study in the field of cancer biology. Its rapid progression and the relative time cost of obtaining molecular data make other readily available forms of data, such as images, an important resource for actionable measures in patients. Our goal is to use information given by medical images taken from GBM patients in statistical settings. To do this, we design a novel statistic?the smooth Euler characte...
• On Optimal Tests for Rotational Symmetry Against New Classes of Hyperspherical Distributions AI翻译
  作者：Garcia-Portugues, Eduardo; Paindaveine, Davy; Verdebout, Thomas
  作者单位：Universite Libre de Bruxelles; Universite Libre de Bruxelles; Universite de Toulouse; Universite Toulouse 1 Capitole; Toulouse School of Economics
  摘要：Motivated by the central role played by rotationally symmetric distributions in directional statistics, we consider the problem of testing rotational symmetry on the hypersphere. We adopt a semiparametric approach and tackle problems where the location of the symmetry axis is either specified or unspecified. For each problem, we define two tests and study their asymptotic properties under very mild conditions. We introduce two new classes of directional distributions that extend the rotational...
• Fast and Accurate Binary Response Mixed Model Analysis via Expectation Propagation AI翻译
  作者：Hall, P.; Johnstone, I. M.; Ormerod, J. T.; Wand, M. P.; Yu, J. C. F.
  作者单位：University of Melbourne; Stanford University; University of Sydney; University of Technology Sydney
  摘要：Expectation propagation is a general prescription for approximation of integrals in statistical inference problems. Its literature is mainly concerned with Bayesian inference scenarios. However, expectation propagation can also be used to approximate integrals arising in frequentist statistical inference. We focus on likelihood-based inference for binary response mixed models and show that fast and accurate quadrature-free inference can be realized for the probit link case with multivariate ra...
• Functional Censored Quantile Regression AI翻译
  作者：Jiang, Fei; Cheng, Qing; Yin, Guosheng; Shen, Haipeng
  作者单位：University of Hong Kong; National University of Singapore; University of Hong Kong; University of Hong Kong
  摘要：We propose a functional censored quantile regression model to describe the time-varying relationship between time-to-event outcomes and corresponding functional covariates. The time-varying effect is modeled as an unspecified function that is approximated via B-splines. A generalized approximate cross-validation method is developed to select the number of knots by minimizing the expected loss. We establish asymptotic properties of the method and the knot selection procedure. Furthermore, we co...
• Discussion of From Fixed-X to Random-X Regression: Bias-Variance Decompositions, Covariance Penalties, and Prediction Error Estimation AI翻译
  作者：Shen, Xiaotong; Huang, Hsin-Cheng
  作者单位：University of Minnesota System; University of Minnesota Twin Cities; Academia Sinica - Taiwan