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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 ...
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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...
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作者：Sisson, SA
作者单位：University of New South Wales Sydney
摘要：The last 10 years have witnessed the development of sampling frameworks that permit the construction of Markov chains that simultaneously traverse both parameter and model space. Substantial methodological progress has been made during this period. In this article we present a survey of the current state of the art and evaluate some of the most recent advances in this field. We also discuss future research perspectives in the context of the drive to develop sampling mechanisms with high degree...
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作者：Wolbers, M; Stahel, W
作者单位：Roche Holding; Swiss Federal Institutes of Technology Domain; ETH Zurich
摘要：In many fields of science there are multivariate observations that may be assumed to be generated by a (physical) linear mixing process of contributions from different sources. If the compositions of the sources are constant for different observations, then these observations are, up to a random error term, nonnegative linear combinations of a fixed set of so-called source profiles that characterize the sources. The goal of linear unmixing is to recover both the source profiles and the source ...
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作者：Ishwaran, H; Rao, JS
作者单位：Cleveland Clinic Foundation; University System of Ohio; Case Western Reserve University
摘要：DNA microarrays can provide insight into genetic changes that characterize different stages of a disease process. Accurate identification of these changes has significant therapeutic and diagnostic implications. Statistical analysis for multistage (multigroup) data is challenging, however. ANOVA-based extensions of two-sample Z-tests, a popular method for detecting differentially expressed genes in two groups, do not work well in multigroup settings. False detection rates are high because of v...
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作者：Garthwaite, PH; Kadane, JB; O'Hagan, A
作者单位：Open University - UK; Carnegie Mellon University; University of Sheffield
摘要：Elicitation is a key task for subjectivist Bayesians. Although skeptics hold that elicitation cannot (or perhaps should not) be done, in practice it brings statisticians closer to their clients and subject-matter expert colleagues. This article reviews the state of the art, reflecting the experience of statisticians informed by the fruits of a long line of psychological research into how people represent uncertain information cognitively and how they respond to questions about that information...
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作者：Paparoditis, E; Politis, DN
作者单位：University of Cyprus; University of California System; University of California San Diego
摘要：The theory developed for bootstrapping unit root tests in an autoregressive (AR) context has been concerned mainly with the large-sample behavior of the methods proposed under the assumption that the null hypothesis is true. No results exist for the relative performance and the power behavior of the bootstrap methods under the alternative. This article studies the properties of different AR bootstrap schemes of the unit root hypothesis, including a new proposal based on unrestricted residuals....
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作者：Lijoi, A; Mena, RH; Prünster, I
作者单位：University of Pavia; Consiglio Nazionale delle Ricerche (CNR); Universidad Nacional Autonoma de Mexico
摘要：In recent years the Dirichlet process prior has experienced a great success in the context of Bayesian mixture modeling. The idea of overcoming discreteness of its realizations by exploiting it in hierarchical models, combined with the development of suitable sampling techniques, represent one of the reasons of its popularity. In this article we propose the normalized inverse-Gaussian (N-IG) process as an alternative to the Dirichlet process to be used in Bayesian hierarchical models. The N-IG...
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作者：Song, PXK; Fan, YQ; Kalbfleisch, JD
作者单位：University of Waterloo; Vanderbilt University; University of Michigan System; University of Michigan
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作者：Farrington, CP; Whitaker, HJ
作者单位：Open University - UK
摘要：Controlling of infectious diseases requires information about the rates at which individuals make contact. We propose a novel approach to modeling contact rates via a continuous contact surface. This provides a more realistic and flexible representation of contact rates than currently used methods. Our approach allows modeling of sources of heterogeneity due to age, individual effects, and gender. The models are fitted to serologic survey data by maximum likelihood. This involves solving an in...
