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• BAYESIAN MIXED EFFECTS MODELS FOR ZERO-INFLATED COMPOSITIONS IN MICROBIOME DATA ANALYSIS AI翻译
  作者：Ren, Boyu; Bacallado, Sergio; Favaro, Stefano; Vatanen, Tommi; Huttenhower, Curtis; Trippa, Lorenzo
  作者单位：Harvard University; University of Cambridge; University of Turin; Collegio Carlo Alberto; University of Auckland
  摘要：Detecting associations between microbial compositions and sample characteristics is one of the most important tasks in microbiome studies. Most of the existing methods apply univariate models to single microbial species separately, with adjustments for multiple hypothesis testing. We propose a Bayesian analysis for a generalized mixed effects linear model tailored to this application. The marginal prior on each microbial composition is a Dirichlet process, and dependence across compositions is...
• ESTIMATING AND FORECASTING THE SMOKING-ATTRIBUTABLE MORTALITY FRACTION FOR BOTH GENDERS JOINTLY IN OVER 60 COUNTRIES AI翻译
  作者：Li, Yicheng; Raftery, Adrian E.
  作者单位：University of Washington; University of Washington Seattle
  摘要：Smoking is one of the leading preventable threats to human health and a major risk factor for lung cancer, upper aerodigestive cancer and chronic obstructive pulmonary disease. Estimating and forecasting the smoking attributable fraction (SAF) of mortality can yield insights into smoking epidemics and also provide a basis for more accurate mortality and life expectancy projection. Peto et al. (Lancet 339 (1992) 1268-1278) proposed a method to estimate the SAF using the lung cancer mortality ra...
• MODELING WILDFIRE IGNITION ORIGINS IN SOUTHERN CALIFORNIA USING LINEAR NETWORK POINT PROCESSES AI翻译
  作者：Uppala, Medha; Handcock, Mark S.
  作者单位：University of California System; University of California Los Angeles
  摘要：This paper focuses on spatial and temporal modeling of point processes on linear networks. Point processes on linear networks can simply be defined as point events occurring on or near line segment network structures embedded in a certain space. A separable modeling framework is introduced that posits separate formation and dissolution models of point processes on linear networks over time. While the model was inspired by spider web building activity in brick mortar lines, the focus is on mode...
• OPTIMAL ASSET ALLOCATION WITH MULTIVARIATE BAYESIAN DYNAMIC LINEAR MODELS AI翻译
  作者：Fisher, Jared D.; Pettenuzzo, Davide; Carvalho, Carlos M.
  作者单位：University of California System; University of California Berkeley; Brandeis University; University of Texas System; University of Texas Austin
  摘要：We introduce a fast, closed-form, simulation-free method to model and forecast multiple asset returns and employ it to investigate the optimal ensemble of features to include when jointly predicting monthly stock and bond excess returns. Our approach builds on the Bayesian dynamic linear models of West and Harrison (Bayesian Forecasting and Dynamic Models (1997) Springer), and it can objectively determine, through a fully automated procedure, both the optimal set of regressors to include in th...
• ASSESSING WAGE STATUS TRANSITION AND STAGNATION USING QUANTILE TRANSITION REGRESSION AI翻译
  作者：Hsu, Chih-Yuan; Chen, Yi-Hau; Yu, Ruoh-Rong; Hung, Tsung-Wei
  作者单位：Vanderbilt University; Academia Sinica - Taiwan; Academia Sinica - Taiwan
  摘要：Workers in Taiwan overall have been suffering from long-lasting wage stagnation since the mid-1990s. In particular, there seems to be little mobility for the wages of Taiwanese workers to transit across wage quantile groups. It is of interest to see if certain groups of workers, such as female, lower educated and younger generation workers, suffer from the problem more seriously than the others. This work tries to apply a systematic statistical approach to study this issue, based on the longit...
• FEATURE SELECTION FOR GENERALIZED VARYING COEFFICIENT MIXED-EFFECT MODELS WITH APPLICATION TO OBESITY GWAS AI翻译
  作者：Chu, Wanghuan; Li, Runze; Liu, Jingyuan; Reimherr, Matthew
  作者单位：Alphabet Inc.; Google Incorporated; Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park; Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park; Xiamen University; Xiamen University
  摘要：Motivated by an empirical analysis of data from a genome-wide association study on obesity, measured by the body mass index (BMI), we propose a two-step gene-detection procedure for generalized varying coefficient mixed-effects models with ultrahigh dimensional covariates. The proposed procedure selects significant single nucleotide polymorphisms (SNPs) impacting the mean BMI trend, some of which have already been biologically proven to be fat genes. The method also discovers SNPs that signifi...
• SENSITIVITY ANALYSIS FOR AN UNOBSERVED MODERATOR IN RCT-TO-TARGET-POPULATION GENERALIZATION OF TREATMENT EFFECTS (vol 11, pg 225, 2017) AI翻译
  作者：Trang Quynh Nguyen; Stuart, Elizabeth A.
  作者单位：Johns Hopkins University; Johns Hopkins Bloomberg School of Public Health; Johns Hopkins University; Johns Hopkins Bloomberg School of Public Health
• A STATISTICAL ANALYSIS OF NOISY CROWDSOURCED WEATHER DATA AI翻译
  作者：Chakraborty, Arnab; Lahiri, Soumendra Nath; Wilson, Alyson
  作者单位：North Carolina State University
  摘要：Spatial prediction of weather elements like temperature, precipitation, and barometric pressure are generally based on satellite imagery or data collected at ground stations. None of these data provide information at a more granular or hyperlocal resolution. On the other hand, crowdsourced weather data, which are captured by sensors installed on mobile devices and gathered by weather-related mobile apps like Weather Signal and AccuWeather, can serve as potential data sources for analyzing envi...
• A HIERARCHICAL BAYESIAN MODEL FOR PREDICTING ECOLOGICAL INTERACTIONS USING SCALED EVOLUTIONARY RELATIONSHIPS AI翻译
  作者：Elmasri, Mohamad; Farrell, Maxwell J.; Davies, T. Jonathan; Stephens, David A.
  作者单位：McGill University; McGill University; University of British Columbia; University of British Columbia
  摘要：Identifying undocumented or potential future interactions among species is a challenge facing modern ecologists. Recent link prediction methods rely on trait data; however, large species interaction databases are typically sparse and covariates are limited to only a fraction of species. On the other hand, evolutionary relationships, encoded as phylogenetic trees, can act as proxies for underlying traits and historical patterns of parasite sharing among hosts. We show that, using a network-base...
• ESTIMATING THE HEALTH EFFECTS OF ENVIRONMENTAL MIXTURES USING BAYESIAN SEMIPARAMETRIC REGRESSION AND SPARSITY INDUCING PRIORS AI翻译
  作者：Antonelli, Joseph; Mazumdar, Maitreyi; Bellinger, David; Christiani, David; Wright, Robert; Coull, Brent
  作者单位：State University System of Florida; University of Florida; Harvard University; Harvard Medical School; Harvard University; Harvard T.H. Chan School of Public Health; Icahn School of Medicine at Mount Sinai
  摘要：Humans are routinely exposed to mixtures of chemical and other environmental factors, making the quantification of health effects associated with environmental mixtures a critical goal for establishing environmental policy sufficiently protective of human health. The quantification of the effects of exposure to an environmental mixture poses several statistical challenges. It is often the case that exposure to multiple pollutants interact with each other to affect an outcome. Further, the expo...