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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, ...
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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 ...
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作者：Satten, GA; Allen, AS; Epstein, MR
作者单位：Centers for Disease Control & Prevention - USA; Duke University; Duke University; Emory University
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作者：Sobel, Michael E.
作者单位：Columbia University
摘要：During the past 20 years, social scientists using observational studies have generated a large and inconclusive literature on neighborhood effects. Recent workers have argued that estimates of neighborhood effects based on randomized studies of housing mobility, such as the Moving to Opportunity (MTO) demonstration, are more credible. These estimates are based on the implicit assumption of no interference between units; that is, a subject's value on the response depends only on the treatment t...
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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...
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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...
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作者：Su, ZH; Yang, SS
作者单位：Harvard University; Harvard T.H. Chan School of Public Health; Kansas State University
摘要：A class of three tests-overall lack-of-fit test, between-cluster lack-of-fit test. and within-cluster lack-of-fit test-are proposed for testing the lack of fit of a linear regression model applied to experiments without replicates. The power of the proposed tests is significantly higher than those of the known tests under the situations considered here. The proposed tests are capable of detecting which type of lack of fit is dominant when both between-cluster and within-cluster lack of fit are...
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作者：Hassan, Mohamed Yusuf; Lii, Keh-Shin
作者单位：United Arab Emirates University; University of California System; University of California Riverside
摘要：We propose new probability models for the analysis of marked point processes. These models deal with the type of data that arrive or are observed in possibly unequal time intervals, such as financial transactions and earthquakes, among others. The models treat both the time between event arrivals and the observed marks as stochastic processes. We adopt a class of bivariate distributions to form the bivariate mixture transition distribution. In these models the conditional bivariate distributio...
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作者：O'Sullivan, Finbarr; Choudhury, Kingshuk Roy
作者单位：University College Cork
摘要：The study of water waves has generated a wealth of sophisticated modeling developments in applied mathematics. Empirical observation capabilities have created a need for novel data analysis tools. This article is motivated by consideration of wind-generated wave field image data from a wave tank facility. A quantitative measure of wave field regularity is developed. The methodology is based on decomposition of the wave field into simple plane waves (an adaptation of projection pursuit). The pe...
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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...
