-
作者：Li, Yi; Lin, Xihong
作者单位：Harvard University; Harvard T.H. Chan School of Public Health; Harvard University; Harvard University Medical Affiliates; Dana-Farber Cancer Institute
摘要：There is an emerging interest in modeling spatially correlated survival data in biomedical and epidemiologic studies. In this article we propose a new class of semiparametric normal transformation models for right-censored spatially correlated survival data. This class of models assumes that survival outcomes marginally follow a Cox proportional hazard model with unspecified baseline hazard, and their joint distribution is obtained by transforming survival outcomes to normal random variables, ...
-
作者：Song, Kai-Sheng; Li, Ta-Hsin
作者单位：State University System of Florida; Florida State University; International Business Machines (IBM); IBM USA
摘要：Twenty years ago, Kay proposed an iterative filtering algorithm (IFA) for jointly estimating the frequencies of multiple complex sinusoids from noisy observations. IFA is based on the fact that the noiseless signal is an autoregressive (AR) process, so the frequency estimation problem can be reformulated as the problem of estimating the AR coefficients. By iterating the cycle of AR coefficient estimation and AR filtering, IFA provides a computationally simple procedure yet capable of accurate ...
-
作者：Moustaki, Irini; Victoria-Feser, Maria-Pia
作者单位：Athens University of Economics & Business; University of Geneva
摘要：Latent variable models are used for analyzing multivariate data. Recently, generalized linear latent variable models for categorical, metric, and mixed-type responses estimated via maximum likelihood (ML) have been proposed. Model deviations, such as data contamination, are shown analytically, using the influence function and through a simulation study, to seriously affect ML estimation. This article proposes a robust estimator that is made consistent using the basic principle of indirect infe...
-
作者：Zheng, Tian; Salganik, Matthew J.; Gelman, Andrew
作者单位：Columbia University; Columbia University; Columbia University; Columbia University
摘要：Networks-sets of objects connected by relationships-are important in a number of fields. The study of networks has long been central to sociology, where researchers have attempted to understand the causes and consequences of the structure of relationships in large groups of people. Using insight from previous network research, Killworth et al. and McCarty et al. have developed and evaluated a method for estimating the sizes of hard-to-count populations using network data collected from a simpl...
-
作者：Elmore, Ryan T.; Hall, Peter; Troynikov, Vladimir S.
作者单位：Colorado State University System; Colorado State University Fort Collins; Australian National University; Department of Primary Industries & Regional Development NSW
摘要：An increasing number of statistical problems arise in connection with functional calibration. In each case, inexpensive indirect data in a particular context are combined with direct expensive-to-acquire data from different but related settings to estimate quantities in the former case. Sometimes (e.g., in chemometrics problems where spectroscopic calibration is used) the indirect data are functional. But more commonly, they are scalar or vector-valued, and the functional component is the quan...
-
作者：Escanciano, J. Carlos
作者单位：University of Navarra
摘要：In this article we study a general class of goodness-of-fit tests for a parametric conditional mean of a linear or nonlinear time series model. Among the properties of the proposed tests are that they are suitable when the conditioning set is infinite-dimensional; that they are consistent against a broad class of alternatives, including Pitman's local alternatives converging at the parametric rate n(-1/2), with n the sample size; and that they do not need to choose a lag order depending on the...
-
作者：Neocleous, Tereza; Vanden Branden, Karlien; Portnoy, Stephen
作者单位：University of Illinois System; University of Illinois Urbana-Champaign; KU Leuven
-
作者：Shen, Xiaotong; Huang, Hsin-Cheng
作者单位：University of Minnesota System; University of Minnesota Twin Cities; Academia Sinica - Taiwan
摘要：Central to statistical theory and application is statistical modeling, which typically involves choosing a single model or combining a number of models of different sizes and from different sources. Whereas model selection seeks a single best modeling procedure, model combination combines the strength of different modeling procedures. In this article we look at several key issues and argue that model assessment is the key to model selection and combination. Most important, we introduce a gener...
-
作者：Biedermann, Stefanie; Dette, Holger; Zhu, Wei
作者单位：Ruhr University Bochum; State University of New York (SUNY) System; Stony Brook University
摘要：In close-response studies, the dose range is often restricted because of concerns over drug toxicity and/or efficacy. We derive optimal designs for estimating the underlying dose-response curve for a restricted or unrestricted dose range with respect to a broad class of optimality criteria. The underlying curve belongs to a diversified set of link functions suitable for the dose-response studies and having a common canonical form. These include the fundamental binary response models-the logit ...
-
作者：Lu, Guobing; Ades, A. E.
作者单位：University of Bristol
摘要：Randomized comparisons among several treatments give rise to an incomplete-blocks structure known as mixed treatment comparisons (MTCs). To analyze such data structures, it is crucial to assess whether the disparate evidence sources provide consistent information about the treatment contrasts. In this article we propose a general method for assessing evidence inconsistency in the framework of Bayesian hierarchical models. We begin with the distinction between basic parameters, which have prior...
