471期

最新文章

• Dynamical correlation for multivariate longitudinal data AI翻译
  作者：Dubin, JA; Müller, HG
  作者单位：Yale University; University of California System; University of California Davis
  摘要：Nonparametric methodology for longitudinal data analysis is becoming increasingly popular. The analysis of multivariate longitudinal data, where data on several time courses are recorded for each subject, has received considerably less attention, despite its importance for practical data analysis. In particular, there is a need for measures and estimates to capture dependency between the components of vector-valued longitudinal data. We propose and analyze a simple and effective nonparametric ...
• A hierarchical framework for modeling and forecasting web server workload AI翻译
  作者：Li, TH
  摘要：Proactive management of web server farms requires accurate prediction of workload. An exemplary measure of workload is the amount of service requests per unit time. As a time series, the workload exhibits not only short-term random fluctuations, but also prominent periodic (daily) patterns that evolve randomly from one period to another. A hierarchical framework with multiple time scales is proposed to model such time series. This framework leads to an adaptive procedure that provides both lon...
• Frailty survival model analysis of the national deceased donor kidney transplant dataset using Poisson variance structures AI翻译
  作者：Feng, SB; Wolfe, RA; Port, FK
  作者单位：Georgetown University; Georgetown University; University of Michigan System; University of Michigan
  摘要：In a recent study of transplant outcomes, donor age, cerebrovascular accident as the cause of death (CVA), renal insufficiency (serum creatinine > 1.5 mg/dL), and history of hypertension have been identified as donor factors associated with elevated risk of kidney transplant failure. It is of great interest to know whether there remain other unmeasured donor factors associated with elevated risk of graft failure. In this article we study a sample of 6,024 deceased donor kidney transplants perf...
• Semilinear high-dimensional model for normalization of microarray data: A theoretical analysis and partial consistency - Comment AI翻译
  作者：Zhang, HP
  作者单位：Yale University; Jiangxi Normal University
• Semilinear high-dimensional model for normalization of microarray data: A theoretical analysis and partial consistency - Comment AI翻译
  作者：Sabatti, C
  作者单位：University of California System; University of California Los Angeles; University of California System; University of California Los Angeles
• Multivariate nonparametric tests of independence AI翻译
  作者：Taskinen, S; Oja, H; Randles, RH
  作者单位：University of Jyvaskyla; Tampere University; State University System of Florida; University of Florida
  摘要：New test statistics are proposed for testing whether two random vectors are independent. Gieser and Randles, as well as Taskinen, Kankainen, and Oja have introduced and discussed multivariate extensions of the quadrant test of Blomqvist. This article serves as a sequel to this work and presents new multivariate extensions of Kendall's tau and Spearman's rho statistics. Two different approaches are discussed. First, interdirection proportions are used to estimate the cosines of angles between c...
• Semilinear high-dimensional model for normalization of microarray data: A theoretical analysis and partial consistency - Comment AI翻译
  作者：Craig, BA
  作者单位：Purdue University System; Purdue University
• Measurement error in linear autoregressive models AI翻译
  作者：Staudenmayer, J; Buonaccorsi, JR
  作者单位：University of Massachusetts System; University of Massachusetts Amherst
  摘要：Time series data are often subject to measurement error, usually the result of needing to estimate the variable of interest. Although it is often reasonable to assume that the measurement error is additive (i.e., the estimator is conditionally unbiased for the missing true value), the measurement error variances often vary as a result of changes in the population/process over time and/or changes in sampling effort. In this article we address estimation of the parameters in linear autoregressiv...
• Semilinear high-dimensional model for normalization of microarray data: A theoretical analysis and partial consistency AI翻译
  作者：Fan, JQ; Peng, H; Huang, T
  作者单位：Princeton University; Yale University
  摘要：Normalization of microarray data is essential for removing experimental biases and revealing meaningful biological results. Motivated by a problem of normalizing microarray data, a semilinear in-slide model (SLIM) has been proposed. To aggregate information from other arrays. SLIM is generalized to account for across-array information, resulting in an even more dynamic semiparametric regression model. This model can be used to normalize microarray data even when there is no replication within ...
• A unified nonparametric approach for unbalanced factorial designs AI翻译
  作者：Gao, X; Alvo, M
  作者单位：York University - Canada; University of Ottawa
  摘要：Motivated by questions arising from the field of statistical genetics, we consider the problem of testing main, nested, and interaction effects in unbalanced factorial designs. Based on the concept of composite linear rank statistics, a new notion of weighted rank is proposed. Asymptotic normality of weighted linear rank statistics is established under mild conditions, and consistent estimators are developed for the corresponding limiting covariance structure. A unified framework to use weight...