-
作者：Ibrahim, Joseph G.; Zhu, Hongtu
作者单位：University of North Carolina; University of North Carolina Chapel Hill
-
作者：Noh, Maengseok; Lee, Youngjo
作者单位：Pukyong National University; Seoul National University (SNU)
摘要：Generalized linear models (GLMs) are widely used for data analysis; however, their maximum likelihood estimators can be sensitive to outliers. We propose new statistical models that allow robust inferences from the GLM class of models, including Poisson and binomial GLMs, and their extension to generalized linear mixed models. The likelihood score equations from the new models give estimators with bounded influence, so that the resulting estimators are robust against outliers while maintaining...
-
作者：Kosorok, Michael R.; Fine, Jason P.
作者单位：University of North Carolina; University of North Carolina Chapel Hill; University of North Carolina; University of North Carolina Chapel Hill; University of Wisconsin System; University of Wisconsin Madison; University of Wisconsin System; University of Wisconsin Madison
-
作者：Kadane, Joseph B.
作者单位：Carnegie Mellon University
-
作者：Wang, Xiaohui; Ray, Shubhankar; Mallick, Bani K.
作者单位：University of Texas System; University of Texas Rio Grande Valley; Merck & Company; Texas A&M University System; Texas A&M University College Station
摘要：We propose classification models for binary and multicategory data where the predictor is a random function. We use Bayesian modeling with wavelet basis functions that have nice approximation properties over a large class of functional spaces and can accommodate a wide variety of functional forms observed in real life applications. We develop an unified hierarchical model to encompass both the adaptive wavelet-based function estimation model and the logistic classification model. We couple tog...
-
作者：Li, Ta-Hsin
作者单位：International Business Machines (IBM); IBM USA
摘要：In on-demand computing services, the customer pays based on actual usage, and the service provider is free to allocate unused capacity to other customers. Capacity planning becomes an important issue in such a shared environment. It is desirable that a portfolio effect occurs so that less total capacity is required in a shared system than in a dedicated system. In this article a quantile-based statistical approach is proposed to quantify the portfolio effect and the associated risks. It is sho...
-
作者：Miller, Robert N.
作者单位：Oregon State University
-
作者：Rappold, Ana Grohovac; Lavine, Michael; Lozier, Susan
作者单位：Duke University; United States Environmental Protection Agency; Duke University
摘要：This article describes a Bayesian statistical analysis of long-term changes in the depth of the ocean's mixed layer. The data are thermal profiles recorded by ships. For these data, there is no good sampling model and thus no obvious likelihood function. Our approach is to elicit posterior distributions for training data directly from the expert. We then infer the likelihood function and use it on large datasets.
-
作者：Sun, Wenguang; Cai, T. Tony
作者单位：University of Pennsylvania; University of Pennsylvania
摘要：We develop a compound decision theory framework for multiple-testing problems and derive an oracle rule based on the z values that minimizes the false nondiscovery rate (FNR) subject to a constraint on the false discovery rate (FDR). We show that many commonly used multiple-testing procedures, which are p value-based, are inefficient, and propose an adaptive procedure based on the z values. The z value-based adaptive procedure asymptotically attains the performance of the z value oracle proced...
-
作者：Johnson, Brent A.; Herring, Amy H.; Ibrahim, Joseph G.; Siega-Riz, Anna Maria
作者单位：University of North Carolina; University of North Carolina Chapel Hill; University of North Carolina; University of North Carolina Chapel Hill; University of North Carolina; University of North Carolina Chapel Hill
摘要：Preterm birth, defined as delivery before 37 completed weeks' gestation, is a leading cause of infant morbidity and mortality. Identifying factors related to preterm delivery is an important goal of public health professionals who wish to identify etiologic pathways to target for prevention. Validation studies are often conducted in nutritional epidemiology in order to study measurement error in instruments that are generally less invasive or less expensive than gold standard instruments. Data...
