487期

最新文章

• Tail Index Regression AI翻译
  作者：Wang, Hansheng; Tsai, Chih-Ling
  作者单位：Peking University; University of California System; University of California Davis
  摘要：In extreme value statistics, the tail index is an important measure to gauge the heavy-tailed behavior of a distribution, Under Pareto-type distributions, we employ the logarithmic function to link the tail index to the linear predictor induced by covariates, which constitutes the tail index regression model. We then propose an approximate log-likelihood function to obtain regression parameter estimators, and Subsequently show the asymptotic normality of those estimators. Numerical studies are...
• Statistical Estimation in Generalized Multiparameter Likelihood Models AI翻译
  作者：Cheng, Ming-Yen; Zhang, Wenyang; Chen, Lu-Hung
  作者单位：National Taiwan University; University of London; University College London; University of Bath
  摘要：Multiparameter likelihood models (MLMs) with multiple covariates have a wide range of applications: however. they encounter the curse of dimensionality problem when the dimension of the covariates is large. We develop a generalized multiparameter likelihood model that copes with multiple covariates and adapts to dynamic structural changes well. It includes some popular models, such as the partially linear and varying-coefficient models, as special cases. We present a simple, effective two-step...
• Testing for the Supremacy of a Multinomial Cell Probability AI翻译
  作者：Nettleton, Dan
  作者单位：Iowa State University
  摘要：Tests for the supremacy of a multinomial cell probability are developed. The tested null hypothesis states that a particular cell of interest is not more probable than all others, Rejection of this null leads to the conclusion that the cell of interest has a strictly greater probability than all other cells. The null hypothesis constrains the multinomial probability vector to a nonconvex region that is a union of closed convex cones. The likelihood ratio test for this problem is derived and sh...
• A Class of Semiparametric Mixture Cure Survival Models With Dependent Censoring AI翻译
  作者：Othus, Megan; Li, Yi; Tiwari, Ram C.
  作者单位：Harvard University; Harvard University; Harvard University Medical Affiliates; Dana-Farber Cancer Institute; US Food & Drug Administration (FDA); National Institutes of Health (NIH) - USA; NIH National Cancer Institute (NCI)
  摘要：Modern cancer treatments have substantially improved cure rates and have generated a great interest in and need for proper statistical tools to analyze survival data with nonnegligible cure fractions. Data with Cure fractions often ire complicated by dependent censoring, and the analysis of this type of data typically involves untestable parametric assumptions on the dependence of the censoring mechanism and the true survival times. Motivated by the analysis of prostate cancer survival trends,...
• Nonparametric Prediction in Measurement Error Models AI翻译
  作者：Carroll, Raymond J.; Delaigle, Aurore; Hall, Peter
  作者单位：Texas A&M University System; Texas A&M University College Station; University of Bristol; University of Melbourne; University of California System; University of California Davis
  摘要：Predicting the value of it variable Y corresponding to a future value of an explanatory variable X, based on a sample of previously observed independent data pairs (X-1, Y-1),...,(X-n, Y-n,) distributed like (X, Y), is very important in statistics. In the error-free case, where X is observed accurately, this problem is strongly related to that of standard regression estimation, since prediction of Y can be achieved via estimation of the regression Curve E(Y vertical bar X). When the observed X...
• Active Learning Through Sequential Design, With Applications to Detection of Money Laundering AI翻译
  作者：Deng, Xinwei; Joseph, V. Roshan; Sudjianto, Agus; Wu, C. F. Jeff
  作者单位：University System of Georgia; Georgia Institute of Technology; Bank of America Corporation
  摘要：Money laundering is a process designed to conceal the true origin of funds that were originally derived front illegal activities. Because money laundering often involves criminal activities, financial institutions have the responsibility to detect and report it to the appropriate government agencies in a timely manner. But the huge number of transactions occurring each day make detecting money laundering difficult. The usual approach adopted by financial institutions is to extract some summary...
• Nonparametric Prediction in Measurement Error Models Comment AI翻译
  作者：Staudenmayer, John
  作者单位：University of Massachusetts System; University of Massachusetts Amherst
• Modeling Spatiotemporal Forest Health Monitoring Data AI翻译
  作者：Augustin, Nicole H.; Musio, Monica; von Wilpert, Klaus; Kublin, Edgar; Wood, Simon N.; Schumacher, Martin
  作者单位：University of Bath; University of Cagliari; University of Freiburg
  摘要：Forest health monitoring schemes were set Lip across Europe in the 1980s in response to concerns about air pollution-related forest dieback (Waldsterben) and have continued since then. Recent threats to forest health are climatic extremes likely due to global climate change and increased ground ozone levels and nitrogen deposition. We model yearly data on tree crown defoliation, an indicator of tree health, from a monitoring survey carried Out in Baden-Wurttemberg, Germany since 1983. On a cha...
• Joint Modeling of Self-Rated Health and Changes in Physical Functioning AI翻译
  作者：Hubbard, Rebecca A.; Inoue, Lurdes Y. T.; Diehr, Paula
  作者单位：University of Washington; University of Washington Seattle; Fred Hutchinson Cancer Center; University of Washington; University of Washington Seattle
  摘要：Self-rated health is an important indicator of future morbidity and mortality. Research has indicated that self-rated health is related to both levels of and changes in physical functioning. But no previous study has jointly modeled longitudinal functional Status and self-rated health trajectories. We propose a joint model for self-rated health and physical functioning that describes the relationship between perceptions of health and the rate of change of physical functioning or disability. Ou...
• Singular Value Decomposition-Based Alternative Splicing Detection AI翻译
  作者：Hu, Jianhua; He, Xuming; Cote, Gilbert J.; Krahe, Ralf
  作者单位：University of Texas System; UTMD Anderson Cancer Center; University of Texas System; UTMD Anderson Cancer Center; University of Texas System; UTMD Anderson Cancer Center; University of Illinois System; University of Illinois Urbana-Champaign
  摘要：Altered alternative splicing has been identified as an important factor in tumorigenesis. The Affymetrix exon tiling array is designed for detecting alternative splicing events in a transcriptome-wide fashion; however. there are currently few analysis tools that have been well Studied for effective detection of alternative splicing events. We propose a new screening procedure based on singular value decomposition (SVD) of the residual matrix from a robust additive model fit to probe selection ...