-
作者：Price, Dionne L.
作者单位：US Food & Drug Administration (FDA)
摘要：Driven by our mission, we have advanced science for the public good. Our history is rich in theory, methodology, and applications that are instrumental in solving real-world problems. Our reach is boundless, and our impact is undeniable in diverse areas, including engineering, economics, the environment, genetics, public health, and health policy. As the data landscape continues to evolve, our leadership, expertise and knowledge will be essential to meet the global challenges of the future. We...
-
作者：Zhao, Zhigen
作者单位：Pennsylvania Commonwealth System of Higher Education (PCSHE); Temple University
-
作者：Castillo-Mateo, Jorge; Gelfand, Alan E.; Gracia-Tabuenca, Zeus; Asin, Jesus; Cebrian, Ana C.
作者单位：University of Zaragoza; Duke University
摘要：Record-breaking temperature events are now very frequently in the news, viewed as evidence of climate change. With this as motivation, we undertake the first substantial spatial modeling investigation of temperature record-breaking across years for any given day within the year. We work with a dataset consisting of over 60 years (1960-2021) of daily maximum temperatures across peninsular Spain. Formal statistical analysis of record-breaking events is an area that has received attention primari...
-
作者：Ding, Xiucai; Ma, Rong
作者单位：University of California System; University of California Davis; Harvard University; Harvard T.H. Chan School of Public Health; Harvard University; Harvard University Medical Affiliates; Dana-Farber Cancer Institute; Harvard University; Massachusetts Institute of Technology (MIT); Broad Institute
摘要：Integrative analysis of multiple heterogeneous datasets has arised in many research fields. Existing approaches oftentimes suffer from limited power in capturing nonlinear structures, insufficient account of noisiness and effects of high-dimensionality, lack of adaptivity to signals and sample sizes imbalance, and their results are sometimes difficult to interpret. To address these limitations, we propose a kernel spectral method that achieves joint embeddings of two independently observed hig...
-
作者：Shi, Jieru; Wu, Zhenke; Dempsey, Walter
作者单位：University of Michigan System; University of Michigan
摘要：Contextual sensing and delivery of digital interventions to improve health outcomes have gained significant traction in behavioral and psychiatric studies. Micro-randomized trials (MRTs) are a common experimental design for obtaining data-driven evidence on the effectiveness of digital interventions where each individual is repeatedly randomized to receive treatments over numerous time points. Throughout the study, individual characteristics and contextual factors around randomization are coll...
-
作者：Su, Buxin; Zhang, Jiayao; Collina, Natalie; Yan, Yuling; Li, Didong; Cho, Kyunghyun; Fan, Jianqing; Roth, Aaron; Su, Weijie
作者单位：University of Pennsylvania; University of Pennsylvania; University of Wisconsin System; University of Wisconsin Madison; University of North Carolina; University of North Carolina Chapel Hill; New York University; Princeton University
摘要：We conducted an experiment during the review process of the 2023 International Conference on Machine Learning (ICML), asking authors with multiple submissions to rank their papers based on perceived quality. In total, we received 1342 rankings, each from a different author, covering 2592 submissions. In this article, we present an empirical analysis of how author-provided rankings could be leveraged to improve peer review processes at machine learning conferences. We focus on the Isotonic Mech...
-
作者：Dahl, David B.; Warr, Richard L.; Jensen, Thomas P.
作者单位：Brigham Young University; Berry Consultants, LLC
摘要：Although exchangeable processes from Bayesian nonparametrics have been used as a generating mechanism for random partition models, we deviate from this paradigm to explicitly incorporate clustering information in the formulation of our random partition model. Our shrinkage partition distribution takes any partition distribution and shrinks its probability mass toward a specific anchor partition. We show how this provides a framework to model hierarchically-dependent and temporally-dependent ra...
-
作者：Huang, Xinmeng; Xu, Kan; Lee, Donghwan; Hassani, Hamed; Bastani, Hamsa; Dobriban, Edgar
作者单位：University of Pennsylvania; Arizona State University; Arizona State University-Tempe; University of Pennsylvania; University of Pennsylvania; University of Pennsylvania
摘要：Large and complex datasets are often collected from several, possibly heterogeneous sources. Multitask learning methods improve efficiency by leveraging commonalities across datasets while accounting for possible differences among them. Here, we study multitask linear regression and contextual bandits under sparse heterogeneity, where the source/task-associated parameters are equal to a global parameter plus a sparse task-specific term. We propose a novel two-stage estimator called MOLAR that ...
-
作者：Sarkar, Sanat K.
作者单位：Pennsylvania Commonwealth System of Higher Education (PCSHE); Temple University
-
作者：Diana, Alex; Matechou, Eleni; Griffin, Jim; Yu, Douglas W.; Luo, Mingjie; Tosa, Marie; Bush, Alex; Griffiths, Richard A.
作者单位：University of Essex; University of Kent; University of London; University College London; University of East Anglia; Chinese Academy of Sciences; Kunming Institute of Zoology, CAS; Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS; Oregon State University; Lancaster University; University of Kent
摘要：DNA-based biodiversity surveys, which involve collecting physical samples from survey sites and assaying them in the laboratory to detect species via their diagnostic DNA sequences, are increasingly being adopted for biodiversity monitoring and decision-making. The most commonly employed method, metabarcoding, combines PCR with high-throughput DNA sequencing to amplify and read DNA barcode sequences, generating count data indicating the number of times each DNA barcode was read. However, DNA-b...
