534期

最新文章

• Rejoinder: Learning Optimal Distributionally Robust Individualized Treatment Rules AI翻译
  作者：Mo, Weibin; Qi, Zhengling; Liu, Yufeng
  作者单位：University of North Carolina; University of North Carolina Chapel Hill; George Washington University; University of North Carolina; University of North Carolina Chapel Hill
• Do School Districts Affect NYC House Prices? Identifying Border Differences Using a Bayesian Nonparametric Approach to Geographic Regression Discontinuity Designs AI翻译
  作者：Rischard, Maxime; Branson, Zach; Miratrix, Luke; Bornn, Luke
  作者单位：Harvard University; Carnegie Mellon University; Harvard University; Simon Fraser University
  摘要：What is the premium on house price for a particular school district? To estimate this in New York City we use a novel implementation of a geographic regression discontinuity design (GeoRDD) built from Gaussian processes regression (kriging) to model spatial structure. With a GeoRDD, we specifically examine price differences along borders between treatment and control school districts. GeoRDDs extend RDDs to multivariate settings; location is the forcing variable and the border between school d...
• Bayesian Regression With Undirected Network Predictors With an Application to Brain Connectome Data AI翻译
  作者：Guha, Sharmistha; Rodriguez, Abel
  作者单位：Duke University; University of California System; University of California Santa Cruz
  摘要：This article focuses on the relationship between a measure of creativity and the human brain network for subjects in a brain connectome dataset obtained using a diffusion weighted magnetic resonance imaging procedure. We identify brain regions and interconnections that have a significant effect on creativity. Brain networks are often expressed in terms of symmetric adjacency matrices, with row and column indices of the matrix representing the regions of interest (ROI), and a cell entry signify...
• Log-Linear Bayesian Additive Regression Trees for Multinomial Logistic and Count Regression Models AI翻译
  作者：Murray, Jared S.
  作者单位：University of Texas System; University of Texas Austin; University of Texas System; University of Texas Austin
  摘要：We introduce Bayesian additive regression trees (BART) for log-linear models including multinomial logistic regression and count regression with zero-inflation and overdispersion. BART has been applied to nonparametric mean regression and binary classification problems in a range of settings. However, existing applications of BART have been mostly limited to models for Gaussian data, either observed or latent. This is primarily because efficient MCMC algorithms are available for Gaussian likel...
• Statistical Inference for Online Decision Making via Stochastic Gradient Descent (vol 116, pg 708, 2021) AI翻译
  作者：Chen, Haoyu; Lu, Wenbin; Song, Rui
• Rejoinder: New Objectives for Policy Learning AI翻译
  作者：Kallus, Nathan
  作者单位：Cornell University; Cornell University
• Bayesian Joint Modeling of Multiple Brain Functional Networks AI翻译
  作者：Lukemire, Joshua; Kundu, Suprateek; Pagnoni, Giuseppe; Guo, Ying
  作者单位：Emory University; Universita di Modena e Reggio Emilia
  摘要：Investigating the similarity and changes in brain networks under different mental conditions has become increasingly important in neuroscience research. A standard separate estimation strategy fails to pool information across networks and hence has reduced estimation accuracy and power to detect between-network differences. Motivated by an fMRI Stroop task experiment that involves multiple related tasks, we develop an integrative Bayesian approach for jointly modeling multiple brain networks t...
• Grouped Heterogeneous Mixture Modeling for Clustered Data AI翻译
  作者：Sugasawa, Shonosuke
  作者单位：University of Tokyo
  摘要：Clustered data are ubiquitous in a variety of scientific fields. In this article, we propose a flexible and interpretable modeling approach, called grouped heterogeneous mixture modeling, for clustered data, which models cluster-wise conditional distributions by mixtures of latent conditional distributions common to all the clusters. In the model, we assume that clusters are divided into a finite number of groups and mixing proportions are the same within the same group. We provide a simple ge...
• Gene-Based Association Testing of Dichotomous Traits With Generalized Functional Linear Mixed Models Using Extended Pedigrees: Applications to Age-Related Macular Degeneration AI翻译
  作者：Jiang, Yingda; Chiu, Chi-Yang; Yan, Qi; Chen, Wei; Gorin, Michael B.; Conley, Yvette P.; Lakhal-Chaieb, M'hamed Lajmi; Cook, Richard J.; Amos, Christopher, I; Wilson, Alexander F.; Bailey-Wilson, Joan E.; McMahon, Francis J.; Vazquez, Ana, I; Yuan, Ao; Zhong, Xiaogang; Xiong, Momiao; Weeks, Daniel E.; Fan, Ruzong
  作者单位：Pennsylvania Commonwealth System of Higher Education (PCSHE); University of Pittsburgh; University of Tennessee System; University of Tennessee Health Science Center; Pennsylvania Commonwealth System of Higher Education (PCSHE); University of Pittsburgh; University of California System; University of California Los Angeles; University of California Los Angeles Medical Center; David Geffen School of Medicine at UCLA; Pennsylvania Commonwealth System of Higher Education (PCSHE); University of Pittsburgh; Laval University; Baylor College of Medicine; National Institutes of Health (NIH) - USA; NIH National Human Genome Research Institute (NHGRI); NIH National Institute on Aging (NIA); National Institutes of Health (NIH) - USA; NIH National Institute of Mental Health (NIMH); National Institutes of Health (NIH) - USA; NIH National Institute of Mental Health (NIMH); Michigan State University; Georgetown University; University of Texas System; University of Texas Health Science Center Houston; Pennsylvania Commonwealth System of Higher Education (PCSHE); University of Pittsburgh; National Institutes of Health (NIH) - USA; NIH Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD); Cornell University; Weill Cornell Medicine; NewYork-Presbyterian Hospital; Columbia University
  摘要：Genetics plays a role in age-related macular degeneration (AMD), a common cause of blindness in the elderly. There is a need for powerful methods for carrying out region-based association tests between a dichotomous trait like AMD and genetic variants on family data. Here, we apply our new generalized functional linear mixed models (GFLMM) developed to test for gene-based association in a set of AMD families. Using common and rare variants, we observe significant association with two known AMD...
• Causal Inference With Interference and Noncompliance in Two-Stage Randomized Experiments AI翻译
  作者：Imai, Kosuke; Jiang, Zhichao; Malaniam, Anup
  作者单位：Harvard University; University of Massachusetts System; University of Massachusetts Amherst; University of Chicago; National Bureau of Economic Research
  摘要：In many social science experiments, subjects often interact with each other and as a result one unit's treatment influences the outcome of another unit. Over the last decade, a significant progress has been made toward causal inference in the presence of such interference between units. Researchers have shown that the two-stage randomization of treatment assignment enables the identification of average direct and spillover effects. However, much of the literature has assumed perfect compliance...