Journal of the American Statistical Association

最新文章

• Time Series Clustering and Classification AI翻译
  作者：Chen, Ming
  作者单位：Amazon.com
• Statistical Inference for Average Treatment Effects Estimated by Synthetic Control Methods AI翻译
  作者：Li, Kathleen T.
  作者单位：University of Texas System; University of Texas Austin
  摘要：The synthetic control (SC) method, a powerful tool for estimating average treatment effects (ATE), is increasingly popular in fields such as statistics, economics, political science, and marketing. The SC is particularly suitable for estimating ATE with a single (or a few) treated unit(s), a fixed number of control units, and large pre and post-treatment periods (which we refer as long panels). To date, there has been no formal inference theory for SC ATE estimator with long panels under gener...
• Statistical Analysis of Functions on Surfaces, With an Application to Medical Imaging AI翻译
  作者：Lila, Eardi; Aston, John A. D.
  作者单位：University of Cambridge; University of Cambridge
  摘要：In functional data analysis, data are commonly assumed to be smooth functions on a fixed interval of the real line. In this work, we introduce a comprehensive framework for the analysis of functional data, whose domain is a two-dimensional manifold and the domain itself is subject to variability from sample to sample. We formulate a statistical model for such data, here called functions on surfaces, which enables a joint representation of the geometric and functional aspects, and propose an as...
• Simultaneous Covariance Inference for Multimodal Integrative Analysis AI翻译
  作者：Xia, Yin; Li, Lexin; Lockhart, Samuel N.; Jagust, William J.
  作者单位：Fudan University; University of California System; University of California Berkeley; Wake Forest University; University of California System; University of California Berkeley; United States Department of Energy (DOE); Lawrence Berkeley National Laboratory; University of California System; University of California Berkeley
  摘要：Multimodal integrative analysis fuses different types of data collected on the same set of experimental subjects. It is becoming a norm in many branches of scientific research, such as multi-omics and multimodal neuroimaging analysis. In this article, we address the problem of simultaneous covariance inference of associations between multiple modalities, which is of a vital interest in multimodal integrative analysis. Recognizing that there are few readily available solutions in the literature...
• Bayesian Optimal Design for Ordinary Differential Equation Models With Application in Biological Science AI翻译
  作者：Overstall, Antony M.; Woods, David C.; Parker, Ben M.
  作者单位：University of Southampton; University of West London
  摘要：Bayesian optimal design is considered for experiments where the response distribution depends on the solution to a system of nonlinear ordinary differential equations. The motivation is an experiment to estimate parameters in the equations governing the transport of amino acids through cell membranes in human placentas. Decision-theoretic Bayesian design of experiments for such nonlinear models is conceptually very attractive, allowing the formal incorporation of prior knowledge to overcome th...
• Generic Inference on Quantile and Quantile Effect Functions for Discrete Outcomes AI翻译
  作者：Chernozhukov, Victor; Fernandez-Val, Ivan; Melly, Blaise; Wuthrich, Kaspar
  作者单位：Massachusetts Institute of Technology (MIT); Boston University; University of Bern; University of California System; University of California San Diego
  摘要：Quantile and quantile effect (QE) functions are important tools for descriptive and causal analysis due to their natural and intuitive interpretation. Existing inference methods for these functions do not apply to discrete random variables. This article offers a simple, practical construction of simultaneous confidence bands for quantile and QE functions of possibly discrete random variables. It is based on a natural transformation of simultaneous confidence bands for distribution functions, w...
• Testing for Jump Spillovers Without Testing for Jumps AI翻译
  作者：Corradi, Valentina; Distaso, Walter; Fernandes, Marcelo
  作者单位：University of Surrey; Imperial College London; Getulio Vargas Foundation
  摘要：This article develops statistical tools for testing conditional independence among the jump components of the daily quadratic variation, which we estimate using intraday data. To avoid sequential bias distortion, we do not pretest for the presence of jumps. If the null is true, our test statistic based on daily integrated jumps weakly converges to a Gaussian random variable if both assets have jumps. If instead at least one asset has no jumps, then the statistic approaches zero in probability....
• Parsimonious Model Averaging With a Diverging Number of Parameters AI翻译
  作者：Zhang, Xinyu; Zou, Guohua; Liang, Hua; Carroll, Raymond J.
  作者单位：Chinese Academy of Sciences; Academy of Mathematics & System Sciences, CAS; Qingdao University; Capital Normal University; George Washington University; Texas A&M University System; Texas A&M University College Station; University of Technology Sydney
  摘要：Model averaging generally provides better predictions than model selection, but the existing model averaging methods cannot lead to parsimonious models. Parsimony is an especially important property when the number of parameters is large. To achieve a parsimonious model averaging coefficient estimator, we suggest a novel criterion for choosing weights. Asymptotic properties are derived in two practical scenarios: (i) one or more correct models exist in the candidate model set and (ii) all cand...
• A Bayesian Approach to Multistate Hidden Markov Models: Application to Dementia Progression AI翻译
  作者：Williams, Jonathan P.; Storlie, Curtis B.; Therneau, Terry M.; Jack, Clifford R., Jr.; Hannig, Jan
  作者单位：Mayo Clinic; University of North Carolina; University of North Carolina Chapel Hill
  摘要：People are living longer than ever before, and with this arises new complications and challenges for humanity. Among the most pressing of these challenges is of understanding the role of aging in the development of dementia. This article is motivated by the Mayo Clinic Study of Aging data for 4742 subjects since 2004, and how it can be used to draw inference on the role of aging in the development of dementia. We construct a hidden Markov model (HMM) to represent progression of dementia from s...
• Cauchy Combination Test: A Powerful Test With Analytic p-Value Calculation Under Arbitrary Dependency Structures AI翻译
  作者：Liu, Yaowu; Xie, Jun
  作者单位：Harvard University; Harvard T.H. Chan School of Public Health; Purdue University System; Purdue University
  摘要：Combining individual p-values to aggregate multiple small effects has a long-standing interest in statistics, dating back to the classic Fisher's combination test. In modern large-scale data analysis, correlation and sparsity are common features and efficient computation is a necessary requirement for dealing with massive data. To overcome these challenges, we propose a new test that takes advantage of the Cauchy distribution. Our test statistic has a simple form and is defined as a weighted s...