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作者：Wang, Di; Ye, Wen; Sung, Randall; Jiang, Hui; Taylor, Jeremy m. g.; Ly, Lisa; He, Kevin
作者单位：University of Michigan System; University of Michigan; University of Michigan System; University of Michigan; Pennsylvania Commonwealth System of Higher Education (PCSHE); Temple University
摘要：Prediction of time-to-event data often suffers from rare event rates, small sample sizes, high dimensionality, and low signal-to-noise ratios. Incorporating published prediction models from external large-scale studies is expected to improve the performance of prognosis prediction from internal individual-level data. However, existing integration approaches typically assume that the underlying distributions of the external and internal data sources are similar, which is often invalid. To accou...
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作者：Booth, Annie s.; Renganathan, S. ashwin; Gramacy, Robert b.
作者单位：North Carolina State University; Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park; Virginia Polytechnic Institute & State University
摘要：Bayesian deep Gaussian processes (DGPs) outperform ordinary GPs as surrogate models of complex computer experiments when response surface dynamics are nonstationary, which is especially prevalent in aerospace simulations. Yet DGP surrogates have not been deployed for the canonical downstream task in that setting: reliability analysis through contour location (CL). In that context we are motivated by a simulation of an RAE-2822 transonic airfoil which demarcates efficient and inefficient flight...
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作者：Ertefaie, Ashkan; Hsu, Jesse Y.; Harding, Harding; Morenoff, Jeffrey; Small, Dylan S.
作者单位：University of Pennsylvania; University of California System; University of California Berkeley; University of Michigan System; University of Michigan; University of Pennsylvania
摘要：This article discusses a sensitivity analysis for an instrumental variable (IV) estimate in the presence of many instruments that are weakly associated with the endogenous variable. We study the effect of imprisonment on earnings using data on individuals sentenced for felony in Michigan in the years 2003-2006. Motivated by the random assignment of judges to cases, we construct a vector of instruments based on judges' ID. Our data has two important features that cannot be handled using standar...
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作者：Hu, Guanyu; Chen, Ming-Hui; Ma, Zhihua
作者单位：University of Texas System; University of Texas Health Science Center Houston; University of Connecticut; Shenzhen University
摘要：Social survey data are often collected from different survey centers in different regions. In some circumstances the response variables are completely observed while the covariates have missing values. In addition, the missing data patterns will vary in different geographical locations. In this article an ordinal response regression model with a log linear model for the cutpointsis extended to fit the spatial ordinal response data with missing covariates within a Bayesian framework. A signed-s...
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作者：Xu, Jiaze; Pand, Changzai; Deng, Ke
作者单位：Tsinghua University; Tsinghua University; Tsinghua University
摘要：Processing domain-specific Chinese texts is one of the most challenging tasks in natural language processing (NLP) due to the unique characteristics of Chinese and specific challenges in processing domain-specific texts. Existing NLP methods, based on supervised learning or large language models, often suffer from unstable performance in processing domain-specific Chinese texts. In this study we propose a novel statistical approach called TopWORDS-MEPA (Abbreviated as TWM) that can achieve hig...
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作者：Zhu, Bencong; Hu, Guanyu; Xu, Lin; Fan, Xiaodan; Li, Qiwei
作者单位：Chinese University of Hong Kong; University of Texas System; University of Texas Health Science Center Houston; University of Texas System; University of Texas Southwestern Medical Center; University of Texas System; University of Texas Dallas
摘要：The advent of next-generation sequencing-based spatially resolved transcriptomics (SRT) techniques has reshaped genomic studies by enabling high-throughput gene expression profiling while preserving spatial context. Nevertheless, inherent challenges associated with these new high-dimensional spatial data (e.g., zero inflation) pose obstacles to effective clustering, a fundamental problem in SRT data analysis. Current computational approaches often rely on heuristic data preprocessing and arbit...
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作者：Pajor, Anna; Kwiatkowski, Lukasz; Wroblewska, Justyna
作者单位：Cracow University of Economics; Cracow University of Economics
摘要：We check whether taking into account long-term relationships in heteroscedastic VAR models affects their predictive performance before and during the Covid-19 pandemic. Also, we examine whether the predictions can benefit from suspending posterior updates at some point. Empirical analysis covers five different economies and uses Bayesian VAR/VEC models with volatility specifications combining stochastic volatility and GARCH processes. It emerges that, while accounting for cointegration relatio...
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作者：Li, Lexin
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作者：Nath, Shanjukta; Warren, Keith; Paul, Subhadeep
作者单位：University System of Georgia; University of Georgia; University System of Ohio; Ohio State University; University System of Ohio; Ohio State University
摘要：We investigate peer role model influence on successful graduation from therapeutic communities (TCs) for substance abuse and criminal behavior. We use data from three TCs that kept records of exchanges of affirmations among residents and their precise entry and exit dates, allowing us to form peer networks and define a causal effect of interest. The role model effect measures the difference in the expected outcome of a resident (ego) who can observe one of their peers graduate before the ego's...
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作者：Nicholls, Geoff K.; Lee, Jeong Eun; Karn, Nicholas; Johnson, David; Huang, Rukuang; Muir-Watt, Alexis
作者单位：University of Oxford; University of Auckland; University of Southampton; University of Oxford; University of Oxford
摘要：In the eleventh and twelfth centuries in England, Wales and Normandy, royal acta were legal documents in which witnesses were listed in order of social status. Any bishops present were listed as a group. For our purposes each witness-list is an ordered permutation of bishop names with a known date or date-range. Changes over time in the order bishops are listed may reflect changes in their authority. Historians would like to detect and quantify these changes. There is no reason to assume that ...
