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作者：Li, Yehua; Wang, Naisyin; Carroll, Raymond J.
作者单位：University System of Georgia; University of Georgia; University of Michigan System; University of Michigan; Texas A&M University System; Texas A&M University College Station
摘要：We introduce a new class of functional generalized linear models, where the response is a scalar and some of the covariates are functional. We assume that the response depends on multiple covariates, a finite number of latent features in the functional predictor, and interaction between the two. To achieve parsimony, the interaction between the multiple covariates and the functional predictor is modeled semipara-metrically with a single-index structure. We propose a two-step estimation procedu...
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作者：Abadie, Alberto; Diamond, Alexis; Hainmueller, Jens
作者单位：Harvard University; Massachusetts Institute of Technology (MIT)
摘要：Building on an idea in Abadie and Gardeazabal (2003), this article investigates the application of synthetic control methods to comparative case studies. We discuss the advantages of these methods and apply them to study the effects of Proposition 99, a large-scale tobacco control program that California implemented in 1988. We demonstrate that. following Proposition 99, tobacco consumption fell markedly in California relative to a comparable synthetic control region. We estimate that by the y...
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作者：Rosenbaum, Paul R.
作者单位：University of Pennsylvania
摘要：An observational study attempts to draw inferences about the effects caused by a treatment when subjects are not randomly assigned to treatment or control as they would be in a randomized trial. After adjustments have been made for imbalances in measured covariates, the key source of uncertainty in an observational study is the possibility that subjects were not comparable prior to treatment in terms of some unmeasured covariate, so that differing outcomes in treated and control groups are not...
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作者：Ahn, Kwang Woo; Chan, Kung-Sik; Bai, Ying; Kosoy, Michael
作者单位：Medical College of Wisconsin; University of Iowa; Centers for Disease Control & Prevention - USA
摘要：With recent advances in genetic analysis, it has become feasible to classify a pathogen into genetically distinct variants even though they apparently cause an infected subject similar symptoms. The availability of such data opens up the interesting problem of studying the spatiotemporal variation in the diversity of variants of a pathogen. Data on pathogen variants often suffer the problems of (i) low cell counts, (ii) incomplete classification due to laboratory problems (e.g., contamination)...
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作者：Lin, Ming; Chen, Rong; Mykland, Per
作者单位：Xiamen University; Rutgers University System; Rutgers University New Brunswick; Peking University; University of Chicago
摘要：Diffusion processes are widely used in engineering, finance, physics, and other fields. Usually continuous-time diffusion processes can be observed only at discrete time points. For many applications, it is often useful to impute continuous-time bridge samples that follow the diffusion dynamics and connect each pair of the consecutive observations. The sequential Monte Carlo (SMC) method is a useful tool for generating the intermediate paths of the bridge. The paths often are generated forward...
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作者：Banerjee, Sudipto; Finley, Andrew O.; Waldmann, Patrik; Ericsson, Tore
作者单位：University of Minnesota System; University of Minnesota Twin Cities; Michigan State University; Swedish University of Agricultural Sciences; Skogforsk; Michigan State University
摘要：This article expands upon recent interest in Bayesian hierarchical models in quantitative genetics by developing spatial process models for inference on additive and dominance genetic variance within the context of large spatially referenced trial datasets of multiple traits of interest. Direct application of such multivariate models to large spatial datasets is often computationally infeasible because of cubic order matrix algorithms involved in estimation. The situation is even worse in Mark...
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作者：Panaretos, Victor M.; Kraus, David; Maddocks, John H.
作者单位：Swiss Federal Institutes of Technology Domain; Ecole Polytechnique Federale de Lausanne
摘要：Given two samples of continuous zero-mean iid Gaussian processes on [0, 1], we consider the problem of testing whether they share the same covariance structure. Our study is motivated by the problem of determining whether the mechanical properties of short strands of DNA are significantly affected by their base-pair sequence; though expected to be true, had so far not been observed in three-dimensional electron microscopy data, The testing problem is seen to involve aspects of ill-posed invers...
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作者：Holan, Scott H.; Toth, Daniell; Ferreira, Marco A. R.; Karr, Alan F.
作者单位：University of Missouri System; University of Missouri Columbia; United States Department of Labor
摘要：Many scientific, sociological, and economic applications present data that are collected on multiple scales of resolution. One particular form of multiscale data arises when data are aggregated across different scales both longitudinally and by economic sector. Frequently, such datasets experience missing observations in a manner that they can be accurately imputed, while respecting the constraints imposed by the multiscale nature of the data, using the method we propose known as Bayesian mult...
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作者：Chatterjee, Nilanjan; Li, Yan
作者单位：National Institutes of Health (NIH) - USA; NIH National Cancer Institute (NCI); NIH National Cancer Institute- Division of Cancer Epidemiology & Genetics; University of Texas System; University of Texas Arlington
摘要：In epidemiologic studies, partial questionnaire design (PQD) can reduce cost, time, and other practical burdens associated with lengthy questionnaires by assigning different subsets of the questionnaire to different, but overlapping, subsets of the study participants. In this article, we describe methods for semiparametric inference for regression model under PQD and other study settings that can generate nonmonotone missing data in covariates. In particular, motivated from methods for multiph...
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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：Extracting grouping structure or identifying homogenous subgroups of predictors in regression is crucial for high-dimensional data analysis. A low-dimensional structure in particular-grouping, when captured in a regression model-enables to enhance predictive performance and to facilitate a model's interpretability. Grouping pursuit extracts homogenous subgroups of predictors most responsible for outcomes of a response. This is the case in gene network analysis, where grouping reveals gene func...
