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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：Yuan, Ruoxin; Fang, Guanhua
作者单位：Fudan University; Fudan University
摘要：Computer-based problem-solving assessments capture detailed human-computer interactive processes through log files, providing rich information for understanding response behaviors and analyzing complex problem-solving (CPS) abilities. However, existing analytical approaches often rely on item-dependent features or task-specific models, limiting their generalizability. This article proposes a comprehensive analytical framework that extracts intrinsic features from process data and summarizes th...
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作者：Rimella, Lorenzo; Whiteley, Nick; Jewell, Chris; Fearnhead, Paul; Whitehouse, Michael
作者单位：University of Bergamo; University of Bristol; Lancaster University; Imperial College London
摘要：Traditional compartmental models capture population-level dynamics but fail to characterize individual-level risk. The computational cost of exact likelihood evaluation for partially observed individual-based models, however, grows exponentially with the population size, necessitating approximate inference. Existing sampling-based methods usually require multiple simulations of the individuals in the population and rely on bespoke proposal distributions or summary statistics. We propose a dete...
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作者：Liu, Pangpang; Sun, Will Wei
作者单位：Yale University; Purdue University System; Purdue University
摘要：Contextual pricing strategies are prevalent in online retailing, where the seller adjusts prices based on products' attributes and buyers' characteristics. Although such strategies can enhance seller's profits, they raise concerns about fairness when significant price disparities emerge among specific groups, such as gender or race. These disparities can lead to adverse perceptions of fairness among buyers and may even violate the law and regulation. In contrast, price differences can incentiv...
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作者：Gao, Yingqi; Xu, Wenlu; Zhou, Jin J.; Zhou, Hua; Chen, Yong; Dai, Xiaowu
作者单位：University of California System; University of California Los Angeles; University of California System; University of California Los Angeles; University of Pennsylvania; Pennsylvania Medicine
摘要：As data marketplaces become increasingly central to the digital economy, it is crucial to design efficient pricing mechanisms that optimize revenue while ensuring fair and adaptive pricing. We introduce the Maximum Auction-to-Posted Price (MAPP) mechanism, a novel two-stage approach that first estimates the bidders' value distribution through auctions and then determines the optimal posted price based on the learned distribution. We establish that MAPP is individually rational and incentive-co...
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作者：Chen, Baiyu; Li, Yunchen; Ying, Chao; Yu, Zhou
作者单位：Chinese Academy of Sciences; University of Science & Technology of China, CAS; East China Normal University; University of Wisconsin System; University of Wisconsin Madison
摘要：This article focuses on linear sufficient dimension reduction with Riemannian random processes as predictors and complex random objects in a metric space as responses. We propose two novel methods-Intrinsic Riemannian Functional Weighted Inverse Regression Ensemble (iRF-WIRE) and Intrinsic Riemannian Functional Weighted Directional Regression (iRF-WDR)-to recover the central subspace. These methods can be readily extended to Wasserstein functional predictors. We establish their theoretical pro...
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作者：Xu, Yiqing; Zhao, Anqi; Ding, Peng
作者单位：Stanford University; Duke University; University of California System; University of California Berkeley
摘要：We formulate factorial difference-in-differences (FDID), a research design that extends canonical difference-in-differences (DID) to settings in which an event affects all units. In many panel data applications, researchers exploit cross-sectional variation in a baseline factor alongside temporal variation in the event, but the corresponding estimand is often implicit and the justification for applying the DID estimator remains unclear. We frame FDID as a factorial design with two factors, the...
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作者：He, Chenxuan; Wang, Feifei; Zhu, Liping
作者单位：Renmin University of China; Renmin University of China; Renmin University of China
摘要：Exploring the emerging knowledge trends within a particular discipline is of great interest to scientific researchers. It helps researchers to understand the historical development of their disciplines and to guide their future research directions. In this work, we focus on the fast-developing discipline, statistics, to investigate its knowledge trend and emerging topics in statistical research. To this end, we collect publications in top-tier statistical journals and statistical-related confe...
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作者：Donoho, David
作者单位：Stanford University
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作者：Kornak, John; Young, Karl; Friedman, Eric; Bakas, Konstantinos
作者单位：University of California System; University of California San Francisco; University of California System; University of California San Francisco; King Abdullah University of Science & Technology
摘要：Bayesian image analysis has been instrumental for over 40 years in addressing challenges such as image noise reduction, de-blurring, feature enhancement, and object detection. Despite its success, modeling spatial dependencies inherent to these problems often results in significant computational challenges. This work introduces the Bayesian Image Analysis in Fourier Space (BIFS) framework, which redefines conventional Bayesian modeling for continuous-valued images by transforming the problem i...
