-
作者：Lambert, D; Liu, CH
摘要：This article describes a fast, statistically principled method for monitoring streams of network counts, which have long-term trends, rough cyclical patterns, outliers, and missing data. The key step is to build a reference (predictive) model for the counts that captures their complex, salient features but has just a few parameters that can be kept up-to-date as the counts flow by, without requiring access to past data. This article justifies using a negative binomial reference distribution wi...
-
作者：Gottardo, R; Raftery, AE; Yeung, KY; Bumgarner, RE
作者单位：University of British Columbia; University of Washington; University of Washington Seattle; University of Washington; University of Washington Seattle
摘要：We consider robust estimation of gene intensities from cDNA microarray data with replicates. Several statistical methods for estimating gene intensities from microarrays have been proposed, but little work has been done on robust estimation. This is particularly relevant for experiments with replicates, because even one outlying replicate can have a disastrous effect on the estimated intensity for the gene concerned. Because of the many steps involved in the experimental process from hybridiza...
-
作者：Hudgens, MG; Halloran, ME
作者单位：University of North Carolina; University of North Carolina Chapel Hill; Emory University
摘要：The effects of vaccine on postinfection outcomes, such as disease, death, and secondary transmission to others. are important scientific and public health aspects of prophylactic vaccination. As a result, evaluation of many vaccine effects condition on being infected. Conditioning on an event that occurs posttreatment (in our case, infection subsequent to assignment to vaccine or control) can result in selection bias. Moreover, because the set of individuals who would become infected if vaccin...
-
作者：Han, D; Tsung, FG
作者单位：Shanghai Jiao Tong University; Hong Kong University of Science & Technology
摘要：To detect and estimate nonconstant, time-varying mean shifts, statistical process control (SPC) tools, such as the cumulative score (Cuscore) and generalized likelihood ratio test (GLRT) charts, have recently been proposed. However, their efficiency is based on previous and exact knowledge of a reference pattern. In this article a reference-free Cuscore (RFCuscore) chart is proposed that can trace and detect dynamic mean changes quickly without knowing the reference pattern. In addition, a uni...
-
作者：Aban, IB; Meerschaert, MM; Panorska, AK
作者单位：University of Alabama System; University of Alabama Birmingham; University of Otago; Nevada System of Higher Education (NSHE); University of Nevada Reno
摘要：The Pareto distribution is a simple model for nonnegative data with a power law probability tail. In many practical applications, there is a natural upper bound that truncates the probability tail. This article derives estimators for the truncated Pareto distribution, investigates their properties, and illustrates a way to check for fit. These methods are illustrated with applications from finance, hydrology, and atmospheric science.
-
作者：Bair, E; Hastie, T; Paul, D; Tibshirani, R
作者单位：University of California System; University of California San Francisco; Stanford University; Stanford University
摘要：In regression problems where the number of predictors greatly exceeds the number of observations, conventional regression techniques may produce unsatisfactory results. We describe a technique called supervised principal components that call be applied to this type of problem. Supervised principal components is similar to conventional principal components analysis except that it uses a subset of the predictors selected based on their association with the outcome. Supervised principal component...
-
作者：Chen, JH; Huo, XM
作者单位：University System of Georgia; Georgia Institute of Technology
摘要：We consider the length of the longest significance run in a (two-dimensional) Bernoulli net and derive its asymptotic limit distribution. Our theoretical results: (1) reliabilityresults can be considered as generalizations of known theorems in significance runs. We give three types of t style lower and upper bounds, (2) Erdos-Renyi law, and (3) the asymptotic limit distribution. To understand the rate of convergence to the asymptotic distributions, we carry out numerical simulations. The conve...
-
作者：Tzeng, JY; Roeder, K
作者单位：North Carolina State University; Carnegie Mellon University
-
作者：Li, HZ
作者单位：University of Pennsylvania
-
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
