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作者：Kaziska, David; Srivastava, Anuj
作者单位：Air Force Institute of Technology (AFIT); United States Department of Defense; United States Air Force; US Air Force Research Laboratory; State University System of Florida; Florida State University
摘要：We study the problem of analyzing and classifying human gait by modeling it as a stochastic process on a shape space. We consider gait as a evolution of human silhouettes as seen in video sequences, and focus on their shapes. More specifically, we define a shape space of planar, closed curves and model a human gait as a stochastic process on this space. Due to the periodic nature of human walk, this process is naturally constrained to be cyclostationary, that is, its mean path is assumed to be...
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作者：Fan, Jianqing; Hall, Peter; Yao, Qiwei
作者单位：Princeton University; Chinese Academy of Sciences; Academy of Mathematics & System Sciences, CAS; University of Melbourne
摘要：In the analysis of microarray data, and in some other contemporary statistical problems, it is not uncommon to apply hypothesis tests in a highly simultaneous way. The number, N say, of tests used can be much larger than the sample sizes, n, to which the tests are applied, yet we wish to calibrate the tests so that the overall level of the simultaneous test is accurate. Often the sampling distribution is quite different for each test, so there may not be an opportunity to combine data across s...
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作者：Khan, Jafar A.; Van Aelst, Stefan; Zamar, Ruben H.
作者单位：University of Dhaka; Ghent University; University of British Columbia
摘要：In this article we consider the problem of building a linear prediction model when the number of candidate predictors is large and the data possibly contain anomalies that are difficult to visualize and clean. We want to predict the nonoutlying cases; therefore, we need a method that is simultaneously robust and scalable. We consider the stepwise least angle regression (LARS) algorithm which is computationally very efficient but sensitive to outliers. We introduce two different approaches to r...
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作者：Reiter, Jerome P.; Raghunathan, Trivellore E.
作者单位：Duke University; University of Michigan System; University of Michigan
摘要：Multiple imputation was first conceived as a tool that statistical agencies could use to handle nonresponse in large-sample public use surveys. In the last two decades, the multiple-imputation framework has been adapted for other statistical contexts. For example, individual researchers use multiple imputation to handle missing data in small samples, statistical agencies disseminate multiply-imputed data sets for purposes of protecting data confidentiality, and survey methodologists and epidem...
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作者：Shen, Yu; Qin, Jing; Costantino, Joseph R.
作者单位：University of Texas System; UTMD Anderson Cancer Center; Howard Hughes Medical Institute; National Institutes of Health (NIH) - USA; NIH National Institute of Allergy & Infectious Diseases (NIAID); Pennsylvania Commonwealth System of Higher Education (PCSHE); University of Pittsburgh
摘要：The largest randomized, double-blind, placebo-controlled chemoprevention trial, the National Surgical Adjuvant Breast and Bowel Project's Breast Cancer Prevention Trial (NSABP-BCPT), evaluated the efficacy of tamoxifen in preventing breast cancer among women at high risk of developing the disease. The trial has reported a reduction of breast cancer incidence for the tamoxifen group; however, the effect of tamoxifen on the time to diagnosis of the disease over the 6-year follow-up of the trial ...
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作者：Qiu, Peihua; Sun, Jingran
作者单位：University of Minnesota System; University of Minnesota Twin Cities
摘要：Gene microarray data are used in a wide variety of applications, including pharmaceutical and clinical research. By comparing gene expression in normal and abnormal cells, microarrays can be used to identify genes involved in particular diseases, and these genes then can be targeted by therapeutic drugs. Most gene expression data are produced from spotted microarray images. A spotted microarray image consists of thousands of spots, with individual DNA sequences first printed at each spot and t...
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作者：Kaziska, David M.; Srivastava, Anuj
作者单位：United States Department of Defense; United States Air Force; US Air Force Research Laboratory; Air Force Institute of Technology (AFIT); State University System of Florida; Florida State University
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作者：MacEachern, Steven N.; Rao, Youlan; Wu, Chunjie
作者单位：University System of Ohio; Ohio State University; Shanghai University of Finance & Economics
摘要：In practice, the cumulative sum (CUSUM) control chart is often used to detect small shifts in the mean of a normally distributed process, but it performs poorly for thick-tailed processes and for large shifts. This article provides a robust-likelihood cumulative sum (RLCUSUM) chart that discounts outliers and yet has the ability to detect large shifts quickly. The new chart is motivated by the likelihood underpinnings of the CUSUM. It is based on the likelihood of a variate constructed to ensu...
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作者：Mardia, Kanti V.
作者单位：University of Leeds
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作者：Huang, Hanwen; Zou, Fei; Wright, Fred A.
作者单位：University of North Carolina; University of North Carolina Chapel Hill
摘要：One objective of allelic-loss studies is to identify chromosomal locations that may harbor tumor-suppressor genes. An instability-selection model has been developed for allelic-loss data in which the loss events are available for each tumor and each marker (allelotypes). In performing pooled analyses of published allelic-loss experiments, however, only summaries of the frequency of allelic loss (EAL) may be available. The instability-selection model can be applied to these summary data, but na...
