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作者：Schoen, Eric D.; Nha Vo-Thanh; Goos, Peter
作者单位：University of Antwerp; Netherlands Organization Applied Science Research; KU Leuven; KU Leuven
摘要：The potential of two-level orthogonal designs to fit models with main effects and two-factor interaction effects is commonly assessed through the correlation between contrast vectors involving these effects. We study the complete catalog of nonisomorphic orthogonal two-level 24-run designs involving 3-23 factors and we identify the best few designs in terms of these correlations. By modifying an existing enumeration algorithm, we identify the best few 28-run designs involving 3-14 factors and ...
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作者：McShane, Blakeley B.; Gal, David
作者单位：Northwestern University; University of Illinois System; University of Illinois Chicago; University of Illinois Chicago Hospital
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作者：McShane, Blakeley B.; Gal, David
作者单位：Northwestern University; University of Illinois System; University of Illinois Chicago; University of Illinois Chicago Hospital
摘要：In light of recent concerns about reproducibility and replicability, the ASA issued a Statement on tanstical Significance and p-values aimed at those who are not primarily statisticians. While the ASA Statement notes that statistical significance and p-values are commonly misused and misinterpreted, it does not discuss and document broader implications of these errors for the interpretation of evidence. In this article, we review research on how applied researchers who are not primarily statis...
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作者：Xu, Ganggang; Genton, Marc G.
作者单位：State University of New York (SUNY) System; Binghamton University, SUNY; King Abdullah University of Science & Technology
摘要：We propose a new class of transGaussian random fields named Tukey g-and-h (TGH) random fields to model non-Gaussian spatial data. The proposed TGH random fields have extremely flexible marginal distributions, possibly skewed and/or heavy-tailed, and, therefore, have a wide range of applications. The special formulation of the TGH random field enables an automatic search for the most suitable transformation for the dataset of interest while estimating model parameters. Asymptotic properties of ...
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作者：Steingrimsson, Jon Arni; Strawderman, Robert L.
作者单位：Johns Hopkins University; University of Rochester
摘要：This article considers linear regression with missing covariates and a right censored outcome. We first consider a general two-phase outcome sampling design, where full covariate information is only ascertained for subjects in phase two and sampling occurs under an independent Bernoulli sampling scheme with known subject-specific sampling probabilities that depend on phase one information (e.g., survival time, failure status and covariates). The semiparametric information bound is derived for ...
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作者：Wood, Simon N.; Li, Zheyuan; Shaddick, Gavin; Augustin, Nicole H.
作者单位：University of Bristol; University of Bath
摘要：We develop scalable methods for fitting penalized regression spline based generalized additive models with of the order of 104 coefficients to up to 108 data. Computational feasibility rests on: (i) a new iteration scheme for estimation of model coefficients and smoothing parameters, avoiding poorly scaling matrix operations; (ii) parallelization of the iteration's pivoted block Cholesky and basic matrix operations; (iii) the marginal discretization of model covariates to reduce memory footpri...
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作者：Bi, Xuan; Qu, Annie; Wang, Junhui; Shen, Xiaotong
作者单位：University of Illinois System; University of Illinois Urbana-Champaign; Yunnan University; City University of Hong Kong; University of Minnesota System; University of Minnesota Twin Cities
摘要：In recent years, there has been a growing demand to develop efficient recommender systems which track users' preferences and recommend potential items of interest to users. In this article, we propose a group-specific method to use dependency information from users and items which share similar characteristics under the singular value decomposition framework. The new approach is effective for the cold-start problem, where, in the testing set, majority responses are obtained from new users or f...
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作者：Huang, Ming-Yueh; Chiang, Chin-Tsang
作者单位：National Taiwan University
摘要：In the exploratory data analysis, the sufficient dimension reduction model has been widely used to characterize the conditional distribution of interest. Different from the existing approaches, our main achievement is to simultaneously estimate two essential elements, basis and structural dimension, of the central subspace and the bandwidth of a kernel distribution estimator through a single estimation criterion. With an appropriate order of kernel function, the proposed estimation procedure c...
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作者：Zhao, Sihai Dave; Cai, T. Tony; Cappola, Thomas P.; Margulies, Kenneth B.; Li, Hongzhe
作者单位：University of Illinois System; University of Illinois Urbana-Champaign; University of Pennsylvania; University of Pennsylvania; University of Pennsylvania; University of Pennsylvania
摘要：Genome-wide association studies (GWAS) and differential expression analyses have had limited success in finding genes that cause complex diseases such as heart failure (HF), a leading cause of death in the United States. This article proposes a new statistical approach that integrates GWAS and expression quantitative trait loci (eQTL) data to identify important HF genes. For such genes, genetic variations that perturb its expression are also likely to influence disease risk. The proposed metho...
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作者：DiCiccio, Cyrus J.; Romano, Joseph P.
作者单位：Stanford University; Stanford University
摘要：Given a sample from a bivariate distribution, consider the problem of testing independence. A permutation test based on the sample correlation is known to be an exact level a test. However, when used to test the null hypothesis that the samples are uncorrelated, the permutation test can have rejection probability that is far from the nominal level. Further, the permutation test can have a large Type 3 (directional) error rate, whereby there can be a large probability that the permutation test ...
