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作者：Finley, Andrew O.; Banerjee, Sudipto; MacFarlane, David W.
作者单位：Michigan State University; Michigan State University; University of Minnesota System; University of Minnesota Twin Cities
摘要：We are interested in predicting one or more continuous forest variables (e.g., biomass, volume, age) at a fine resolution (e.g., pixel level) across a specified domain. Given a definition of forest/nonforest, this prediction is typically a two-step process. The first step predicts which locations are forested. The second step predicts the value of the variable for only those forested locations. Rarely is the forest/nonforest status predicted without error. However, the uncertainty in this pred...
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作者：Sun, Wenguang; Wei, Zhi
作者单位：North Carolina State University; New Jersey Institute of Technology
摘要：In One-course experiments, it is often desirable to identify genes that exhibit a specific pattern of differential expression over time and thus gain insights into the mechanisms of the underlying biological processes. Two challenging issues in the pattern identification problem are: (i) how to combine the simultaneous inferences across multiple time points and (ii) how to control the multiplicity while accounting for the strong dependence. We formulate a compound decision-theoretic framework ...
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作者：Xiao, Guanghua; Wang, Xinlei; Khodursky, Arkady B.
作者单位：University of Texas System; University of Texas Southwestern Medical Center; Southern Methodist University; University of Minnesota System; University of Minnesota Twin Cities
摘要：Recent genomic studies have shown that significant chromosomal spatial correlation exists in gene expression of many organisms. Interestingly, coexpression has been observed among genes separated by a fixed interval in specific regions of a chromosome chain, which is likely caused by three-dimensional (3D) chromosome folding structures. Modeling such spatial correlation explicitly may lead to essential understandings of 3D chromosome structures and their roles in transcriptional regulation. In...
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作者：Reich, Brian J.; Fuentes, Montserrat; Dunson, David B.
作者单位：North Carolina State University; Duke University
摘要：Tropospheric ozone is one of the six criteria pollutants regulated by the United States Environmental Protection Agency under the Clean Air Act and has been linked with several adverse health effects, including mortality. Due to the strong dependence on weather conditions, ozone may be sensitive to climate change and there is great interest in studying the potential effect of climate change on ozone, and how this change may affect public health. In this paper we develop a Bayesian spatial mode...
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作者：Zhong, Ping-Shou; Chen, Song Xi
作者单位：Iowa State University; Peking University; Peking University
摘要：We propose simultaneous tests for coefficients in high-dimensional linear regression models with factorial designs. The proposed tests are designed for the large p, small n situations where the conventional F-test is no longer applicable. We derive the asymptotic distribution of the proposed test statistic under the high-dimensional null hypothesis and various scenarios of the alternatives, which allow power evaluations. We also evaluate the power of the F-test for models of moderate dimension...
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作者：Dupuis, Debbie J.; Victoria-Feser, Maria-Pia
作者单位：Universite de Montreal; HEC Montreal; University of Geneva; University of Geneva
摘要：Large datasets are increasingly common in many research fields. In particular, in the linear regression context, it is often the case that a huge number of potential covariates are available to explain a response variable, and the first step of a reasonable statistical analysis is to reduce the number of covariates. This can be clone in a forward selection procedure that includes selecting the variable to enter, deciding to retain it or stop the selection, and estimating the augmented model. L...
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作者：Ma, Yanyuan; Ronchetti, Elvezio
作者单位：Texas A&M University System; Texas A&M University College Station; University of Geneva; University of Geneva
摘要：We develop second-order hypothesis testing procedures in functional measurement error models for small or moderate sample sizes, where the classical first-order asymptotic analysis often fails to provide accurate results. In functional models no distributional assumptions are made on the unobservable covariates and this leads to semiparametric models. Our testing procedure is derived using saddlepoint techniques and is based on an empirical distribution estimation subject to the null hypothesi...
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作者：Paige, Robert L.; Chapman, Phillip L.; Butler, Ronald W.
作者单位：University of Missouri System; Missouri University of Science & Technology; Colorado State University System; Colorado State University Fort Collins; Southern Methodist University
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作者：Culp, Mark
作者单位：West Virginia University
摘要：This article presents a semisupervised modeling framework that combines feature-based (x) data and graph-based (G) data for classification/regression of the response Y. In this semisupervised setting, Y is observed for a subset of the observations (labeled) and missing for the remainder (unlabeled). The Propagated Scoring algorithm proposed for fitting this model is a semisupervised fixed-point regularization approach that essentially extends the generalized additive model into the semisupervi...
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作者：Nadkarni, Nivedita V.; Zhao, Yingqi; Kosorok, Michael R.
作者单位：University of North Carolina; University of North Carolina Chapel Hill; University of North Carolina; University of North Carolina Chapel Hill
摘要：An inverse regression methodology for assessing predictor performance in the censored data setup is developed along with inference procedures and a computational algorithm. The technique developed here allows for conditioning on the unobserved failure time along with a weighting mechanism that accounts for the censoring. The implementation is nonparametric and computationally fast. This provides an efficient methodological tool that can be used especially in cases where the usual modeling assu...
