3期

最新文章

• USING PREDICTABILITY TO IMPROVE MATCHING OF URBAN LOCATIONS IN PHILADELPHIA AI翻译
  作者：Humphrey, Colman; Gross, Ryan; Small, Dylan S.; Jensen, Shane T.
  作者单位：University of Pennsylvania
  摘要：Motivated by theories in urban planning and criminology, we use highresolution data to investigate the relationship between crime and the built environment in the City of Philadelphia. We develop a novel and flexible matching framework that uses the predictability of the treatment variable within matched pairs to empirically inform both the differential weighting of covariates in the matching as well as the selection of the number of matched pairs to create. We use this matching framework for ...
• CALIBRATION OF SPATIOTEMPORAL FORECASTS FROM CITIZEN SCIENCE URBAN AIR POLLUTION DATA WITH SPARSE RECURRENT NEURAL NETWORKS AI翻译
  作者：Bonas, Matthew; Castruccio, Stefano
  作者单位：University of Notre Dame
  摘要：With their continued increase in coverage and quality, data collected from personal air quality monitors has become an increasingly valuable tool to complement existing public health monitoring systems over urban areas. However, the potential of using such citizen science data for automatic early warning systems is hampered by the lack of models able to capture the high-resolution, nonlinear spatiotemporal features stemming from local emission sources such as traffic, residential heating and c...
• EVALUATING THE USE OF GENERALIZED DYNAMIC WEIGHTED ORDINARY LEAST SQUARES FOR INDIVIDUALIZED HIV TREATMENT STRATEGIES AI翻译
  作者：Dong, Larry; Moodie, Erica E. M.; Villain, Laura; Thiebaut, Rodolphe
  作者单位：McGill University; Institut National de la Sante et de la Recherche Medicale (Inserm); Universite de Bordeaux
  摘要：A dynamic treatment regimes (DTR) represents a statistical paradigm in precision medicine which aims to optimize patient outcomes by individualizing treatments. At its simplest, a DTR may require only a single decision to be made; this special case is called an individualized treatment rule (ITR) and is often used to maximize short-term rewards. Generalized dynamic weighted ordinary least squares (G-dWOLS), a DTR estimation method that offers theoretical advantages such as double robustness of...
• THE BAYESIAN NESTED LASSO FOR MIXED FREQUENCY REGRESSION MODELS AI翻译
  作者：Ghosh, Satyajit; Khare, Kshitij; Michailidis, George
  作者单位：US Food & Drug Administration (FDA); State University System of Florida; University of Florida; State University System of Florida; University of Florida
  摘要：Even though many time series are sampled at different frequencies, their joint evolution is usually modeled and analyzed at a common low frequency. The mixed data sampling (MIDAS) framework was developed to enable joint modeling of mixed frequency temporally evolving data with GDP forecasting as a key motivating application. In this paper we develop a fully Bayesian method to jointly estimate both the appropriate lag as well as the regression coefficients in linear models wherein the response ...
• BAYESIAN ADDITIVE REGRESSION TREES FOR GENOTYPE BY ENVIRONMENT INTERACTION MODELS AI翻译
  作者：Sarti, Danilo A.; Prado, Estevao B.; Inglis, Alan N.; Dos Santos, Antonia A. L.; Hurley, Catherine B.; Moral, Rafael A.; Parnell, Andrew C.
  作者单位：Maynooth University; Maynooth University
  摘要：We propose a new class of models for the estimation of genotype by environment (GxE) interactions in plant-based genetics. Our approach, named AMBARTI, uses semiparametric Bayesian additive regression trees to accurately capture marginal genotypic and environment effects along with their interaction in a cut Bayesian framework. We demonstrate that our approach is competitive or superior to similar models widely used in the literature via both simulation and a real world dataset. Furthermore, w...
• PROBABILISTIC LEARNING OF TREATMENT TREES IN CANCER AI翻译
  作者：Yao, Tsung-hung; Wu, Zhenke; Bharath, Karthik; Li, Jinju; Baladandayuthapani, Veerabhadran
  作者单位：University of Michigan System; University of Michigan; University of Nottingham
  摘要：Accurate identification of synergistic treatment combinations and their underlying biological mechanisms is critical across many disease domains, especially cancer. In translational oncology research, preclinical systems, such as patient-derived xenografts (PDX), have emerged as a unique study design evaluating multiple treatments administered to samples from the same human tumor implanted into genetically identical mice. In this paper we propose a novel Bayesian probabilistic tree-based frame...
• SEQUENTIALLY VALID TESTS FOR FORECAST CALIBRATION AI翻译
  作者：Arnold, Sebastian; Henzi, Alexander; Ziegel, Johanna f.
  作者单位：University of Bern
  摘要：Forecasting and forecast evaluation are inherently sequential tasks. Predictions are often issued on a regular basis, such as every hour, day, or month, and their quality is monitored continuously. However, the classical statistical tools for forecast evaluation are static, in the sense that statistical tests for forecast calibration are only valid if the evaluation period is fixed in advance. Recently, e-values have been introduced as a new, dynamic method for assessing statistical significan...
• THE SCALABLE BIRTH-DEATH MCMC ALGORITHM FOR MIXED GRAPHICAL MODEL LEARNING WITH APPLICATION TO GENOMIC DATA INTEGRATION AI翻译
  作者：Wang, Nanwei; Massam, Helene; Gao, Xin; Briollais, Laurent
  作者单位：University of New Brunswick; York University - Canada; University of Toronto; University of Toronto
  摘要：Recent advances in biological research have seen the emergence of high throughput technologies with numerous applications that allow the study of biological mechanisms at an unprecedented depth and scale. A large amount of genomic data is now distributed through consortia like The Cancer Genome Atlas (TCGA), where specific types of biological information on specific type of tissue or cell are available. In cancer research the challenge is now to perform integrative analyses of high-dimensional...
• JOINT MODELING OF PLAYING TIME AND PURCHASE PROPENSITY IN MASSIVELY MULTIPLAYER ONLINE ROLE-PLAYING GAMES USING CROSSED RANDOM EFFECTS AI翻译
  作者：Banerjee, Trambak; Liu, Peng; Mukherjee, Gourab; Dutta, Shantanu; Che, Hai
  作者单位：University of Kansas; Santa Clara University; University of Southern California; University of Southern California; University of California System; University of California Riverside
  摘要：Massively multiplayer online role-playing games (MMORPGs) offer a unique blend of a personalized gaming experience and a platform for forging social connections. Managers of these digital products rely on predictions of key player responses, such as playing time and purchase propensity, to design timely interventions for promoting, engaging and monetizing their playing base. However, the longitudinal data associated with these MMORPGs not only exhibit a large set of potential predictors to cho...
• A HORSESHOE MIXTURE MODEL FOR BAYESIAN SCREENING WITH AN APPLICATION TO LIGHT SHEET FLUORESCENCE MICROSCOPY IN BRAIN IMAGING AI翻译
  作者：Denti, Francesco; Azevedo, Ricardo; Lo, Chelsie; Wheeler, Damian G.; Gandhi, Sunil P.; Guindani, Michele; Shahbaba, Babak
  作者单位：Catholic University of the Sacred Heart; University of California System; University of California Irvine; University of California System; University of California Los Angeles
  摘要：In this paper we focus on identifying differentially activated brain regions using a light sheet fluorescence microscopy-a recently developed technique for whole-brain imaging. Most existing statistical methods solve this problem by partitioning the brain regions into two classes: significantly and nonsignificantly activated. However, for the brain imaging problem at the center of our study, such binary grouping may provide overly simplistic discoveries by filtering out weak but important sign...