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作者：Min, Yinjie; Peng, Liuhua; Zou, Changliang
作者单位：Nankai University; University of Melbourne; Nankai University
摘要：There is growing interest in constructing conformal prediction sets that provide approximate or asymptotic conditional coverage guarantees, capturing local data heterogeneity. However, methods like localized conformal prediction (LCP) may face challenges in ensuring reliable prediction sets in regions with sparse calibration data. This article introduces Enhanced Localized Conformal Prediction (ELCP), a novel approach that incorporates auxiliary data to refine localized prediction sets while p...
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作者：Zheng, Siming; Lin, Yuanyuan; Zhou, Yong; Huang, Jian
作者单位：Southeast University - China; Chinese University of Hong Kong; East China Normal University; Hong Kong Polytechnic University
摘要：We propose a domain-specific regression approach for domain generalization, taking into account possible heterogeneity among the datasets from different sources. In the proposed model, the domain-specific features are characterized through linear functionals of the marginal source distributions. The predictors are combined with the domain-specific linear functionals as inputs in the model. Using the source datasets, we estimate the domain-index function and the regression function nonparametri...
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作者：Bhadra, Subhankar; Pensky, Marianna; Sengupta, Srijan
作者单位：Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park; State University System of Florida; University of Central Florida; North Carolina State University
摘要：Massive network datasets are becoming increasingly common in scientific applications. Existing community detection methods encounter significant computational challenges for such massive networks due to two reasons. First, the full network needs to be stored and analyzed on a single server, leading to high memory costs. Second, existing methods typically use matrix factorization or iterative optimization using the full network, resulting in high runtimes. We propose a strategy called predictiv...
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作者：Dukes, Oliver; Stensrud, Mats J.; Brioschi, Riccardo; Hudson, Aaron
作者单位：Ghent University; Swiss Federal Institutes of Technology Domain; Ecole Polytechnique Federale de Lausanne; Fred Hutchinson Cancer Center
摘要：Recent work has focused on nonparametric estimation of conditional treatment effects, but inference has remained relatively unexplored. We propose a class of nonparametric tests for both quantitative and qualitative treatment effect heterogeneity. The tests can incorporate a variety of structured assumptions on the conditional average treatment effect, allow for both continuous and discrete covariates, and do not require sample splitting to obtain a tractable asymptotic null distribution. Furt...
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作者：Shang, Zuofeng; Sang, Peijun; Feng, Yang; Jin, Chong
作者单位：New Jersey Institute of Technology; University of Waterloo; New York University
摘要：We propose a functional stochastic block model whose vertices involve functional data information. This new model extends the classic stochastic block model with vector-valued nodal information, and finds applications in real-world networks whose nodal information could be functional curves. Examples include international trade data in which a network vertex (country) is associated with the annual or quarterly GDP over a certain time period, and MyFitnessPal data in which a network vertex (MyF...
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作者：Frazier, David T.; Nott, David J.
作者单位：Monash University; National University of Singapore; National University of Singapore
摘要：Modular Bayesian methods perform inference in models that are specified through a collection of coupled sub-models, known as modules. These modules often arise from modeling different data sources or from combining domain knowledge from different disciplines. Cutting feedback is a Bayesian inference method that ensures misspecification of one module does not affect inferences for parameters in other modules, and produces what is known as the cut posterior. However, choosing between the cut pos...
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作者：Sun, Maojun; Han, Ruijian; Jiang, Binyan; Qi, Houduo; Sun, Defeng; Yuan, Yancheng; Huang, Jian
作者单位：Hong Kong Polytechnic University; Hong Kong Polytechnic University
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作者：Bartos, Frantisek; Sarafoglou, Alexandra; Godmann, Henrik R.; Sahrani, Amir; Leunk, David Klein; Gui, Pierre Y.; Voss, David; Ullah, Kaleem; Zoubek, Malte; Nippold, Franziska; Aust, Frederik; Vieira, Felipe Fontana; Islam, Chris-Gabriel; Zoubek, Anton J.; Shabani, Sara; Petter, Jonas; Roos, Ingeborg B.; Finnemann, Adam; Lob, Aaron B.; Hoffstadt, Madlen F.; Nak, Jason; de Ron, Jill; Derks, Koen; Huth, Karoline; Terpstra, Sjoerd; Bastelica, Thomas; Matetovici, Magda; Ott, Vincent L.; Zetea, Andreea S.; Karnbach, Katharina; Donzallaz, Michelle C.; John, Arne; Moore, Roy M.; Assion, Franziska; van Bork, Riet; Leidinger, Theresa E.; Zhao, Xiaochang; Motaghi, Adrian Karami; Pan, Ting; Armstrong, Hannah; Peng, Tianqi; Bialas, Mara; Pang, Joyce Y. -C.; Fu, Bohan; Yang, Shujun; Lin, Xiaoyi; Sleiffer, Dana; Bognar, Miklos; Aczel, Balazs; Wagenmakers, Eric-Jan
作者单位：University of Amsterdam; University of Amsterdam; Universitat Kassel; KU Leuven; University of Gottingen; Hasselt University; Justus Liebig University Giessen; University of Amsterdam; University of Amsterdam; University of Zurich; Nyenrode Business University; University of Amsterdam; Vrije Universiteit Amsterdam; Utrecht University; Centre Hospitalier Le Vinatier; Centre National de la Recherche Scientifique (CNRS); Institut National de la Sante et de la Recherche Medicale (Inserm); Universite Jean Monnet; Universite Lyon 1; CNRS - National Institute for Biology (INSB); University of Amsterdam; Vrije Universiteit Amsterdam; Radboud University Nijmegen; Eotvos Lorand University; Eotvos Lorand University
摘要：Many people have flipped coins but few have stopped to ponder the statistical and physical intricacies of the process. We collected 350,757 coin flips to test the counterintuitive prediction from a physics model of human coin tossing developed by Diaconis, Holmes, and Montgomery (DHM; 2007). The model asserts that when people flip an ordinary coin, it tends to land on the same side it started. Our data support this prediction: the coins landed on the same side more often than not, Pr(same side...
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作者：Lunde, Robert; Levina, Elizaveta; Zhu, Ji
作者单位：Washington University (WUSTL); University of Michigan System; University of Michigan
摘要：An important problem in network analysis is predicting a node attribute using both network covariates, such as graph embedding coordinates or local subgraph counts, and conventional node covariates, such as demographic characteristics. While standard regression methods that make use of both types of covariates may be used for prediction, statistical inference is complicated by the fact that the nodal summary statistics are often dependent in complex ways. We show that under a mild joint exchan...
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作者：Zhang, Shushu; He, Xuming; Tan, Kean Ming; Zhou, Wen-Xin
作者单位：University of Michigan System; University of Michigan; Washington University (WUSTL); University of Illinois System; University of Illinois Chicago; University of Illinois Chicago Hospital
摘要：Expected shortfall is defined as the average over the tail below (or above) a certain quantile of a probability distribution. Expected shortfall regression provides powerful tools for learning the relationship between a response variable and a set of covariates while exploring the heterogeneous effects of the covariates. In the health disparity research, for example, the lower/upper tail of the conditional distribution of a health-related outcome, given high-dimensional covariates, is often of...
