1期

最新文章

• MANIFOLD VALUED DATA ANALYSIS OF SAMPLES OF NETWORKS, WITH APPLICATIONS IN CORPUS LINGUISTICS AI翻译
  作者：Severn, Katie E.; Dryden, Ian L.; Preston, Simon P.
  作者单位：University of Nottingham; State University System of Florida; Florida International University
  摘要：Networks arise in many applications, such as in the analysis of text documents, social interactions and brain activity. We develop a general framework for extrinsic statistical analysis of samples of networks, motivated by networks representing text documents in corpus linguistics. We identify networks with their graph Laplacian matrices for which we define metrics, embeddings, tangent spaces and a projection from Euclidean space to the space of graph Laplacians. This framework provides a way ...
• BAYESIAN NONPARAMETRIC MULTIVARIATE SPATIAL MIXTURE MIXED EFFECTS MODELS WITH APPLICATION TO AMERICAN COMMUNITY SURVEY SPECIAL TABULATIONS AI翻译
  作者：Janicki, Ryan; Raim, Andrew M.; Holan, Scott H.; Maples, Jerry J.
  作者单位：University of Missouri System; University of Missouri Columbia
  摘要：Leveraging multivariate spatial dependence to improve the precision of estimates using American Community Survey data and other sample survey data has been a topic of recent interest among data users and federal statistical agencies. One strategy is to use a multivariate spatial mixed effects model with a Gaussian observation model and latent Gaussian process model. In practice, this works well for a wide range of tabulations. Nevertheless, in situations in which the data exhibit heterogeneity...
• IDENTIFYING INTERGENERATIONAL PATTERNS OF CORRELATED METHYLATION SITES AI翻译
  作者：Mou, Xichen; Zhang, Hongmei; Arshad, S. Hasan
  作者单位：University of Memphis; University of Southampton
  摘要：DNA methylation can be transmitted through generations. This paper proposes a clustering method to identify the intergenerational patterns from parents to their offspring. Motivated by the potential of correlation between DNA methylation sites, we use the multivariate generalized beta distribution to model the blockwise correlation structure among the sites. A stochastic EM algorithm is implemented to estimate the parameters, and BIC is applied to determine the optimal number of clusters. Simu...
• FAST INFERENCE FOR TIME-VARYING QUANTILES VIA FLEXIBLE DYNAMIC MODELS WITH APPLICATION TO THE CHARACTERIZATION OF ATMOSPHERIC RIVERS AI翻译
  作者：Barata, Raquel; Prado, Raquel; Sanso, Bruno
  作者单位：University of California System; University of California Santa Cruz
  摘要：Atmospheric rivers (ARs) are elongated regions of water vapor in the atmosphere that play a key role in global water cycles, particularly in western U.S. precipitation. The primary component of many AR detection schemes is the thresholding of the integrated water vapor transport (IVT) magnitude at a single quantile over time. Utilizing a recently developed family of parametric distributions for quantile regression, this paper develops a flexible dynamic quantile linear model (exDQLM) which ena...
• ROBUST CAUSAL INFERENCE FOR INCREMENTAL RETURN ON AD SPEND WITH RANDOMIZED PAIRED GEO EXPERIMENTS AI翻译
  作者：Chen, Aiyou; Au, Timothy C.
  作者单位：Alphabet Inc.; Google Incorporated
  摘要：Evaluating the incremental return on ad spend (iROAS) of a prospective online marketing strategy (i.e., the ratio of the strategy's causal effect on some response metric of interest relative to its causal effect on the ad spend) has become increasingly more important. Although randomized geo experiments are frequently employed for this evaluation, obtaining reliable estimates of iROAS can be challenging, as oftentimes only a small number of highly heterogeneous units are used. Moreover, advert...
• BAGEL: A BAYESIAN GRAPHICAL MODEL FOR INFERRING DRUG EFFECT LONGITUDINALLY ON DEPRESSION IN PEOPLE WITH HIV AI翻译
  作者：Li, Yuliang; Ni, Yang; Rubin, Leah H.; Spence, Amanda B.; Xu, Yanxun
  作者单位：Johns Hopkins University; Texas A&M University System; Texas A&M University College Station; Johns Hopkins University; Johns Hopkins University; Georgetown University
  摘要：Access and adherence to antiretroviral therapy (ART) has transformed the face of HIV infection from a fatal to a chronic disease. However, ART is also known for its side effects. Studies have reported that ART is associated with depressive symptomatology. Large-scale HIV clinical databases with individuals' longitudinal depression records, ART medications, and clinical characteristics offer researchers unprecedented opportunities to study the effects of ART drugs on depression over time. We de...
• ORDINAL PROBIT FUNCTIONAL OUTCOME REGRESSION WITH APPLICATION TO COMPUTER-USE BEHAVIOR IN RHESUS MONKEYS AI翻译
  作者：Meyer, Mark J.; Morris, Jeffrey S.; Gazes, Regina Paxton; Coull, Brent A.
  作者单位：Georgetown University; University of Pennsylvania; Bucknell University; Bucknell University; Harvard University; Harvard T.H. Chan School of Public Health
  摘要：Research in functional regression has made great strides in expanding to non-Gaussian functional outcomes, but exploration of ordinal functional outcomes remains limited. Motivated by a study of computer-use behavior in rhesus macaques (Macaca mulatta), we introduce the ordinal probit functional outcome regression model (OPFOR). OPFOR models can be fit using one of several basis functions including penalized B-splines, wavelets, and O'Sullivan splines-the last of which typically performs best....
• A BAYESIAN MODEL OF MICROBIOME DATA FOR SIMULTANEOUS IDENTIFICATION OF COVARIATE ASSOCIATIONS AND PREDICTION OF PHENOTYPIC OUTCOMES (vol 14, pg 1471, 2020) AI翻译
  作者：Koslovsky, Matthew D.; Hoffman, Kristi L.; Daniel, Carrie R.; Vannucci, Marina
  作者单位：Rice University; Baylor College of Medicine; University of Texas System; UTMD Anderson Cancer Center
• SPARSE MATRIX LINEAR MODELS FOR STRUCTURED HIGH-THROUGHPUT DATA AI翻译
  作者：Liang, Jane W.; Sen, Saunak
  作者单位：Harvard University; Harvard T.H. Chan School of Public Health; University of Tennessee System; University of Tennessee Health Science Center
  摘要：Recent technological advancements have led to the rapid generation of high-throughput biological data which can be used to address novel scientific questions in broad areas of research. These data can be thought of as a large matrix with covariates annotating both its rows and columns. Matrix linear models provide a convenient way for modeling such data. In many situations, sparse estimation of these models is desired. We present fast, general methods for fitting sparse matrix linear models to...
• PARTITIONING AROUND MEDOIDS CLUSTERING AND RANDOM FOREST CLASSIFICATION FOR GIS-INFORMED IMPUTATION OF FLUORIDE CONCENTRATION DATA AI翻译
  作者：Gu, Yu; Preisser, John S.; Zeng, Donglin; Shrestha, Poojan; Shah, Molina; Simancas-Pallares, Miguel A.; Ginnis, Jeannie; Divaris, Kimon
  作者单位：University of North Carolina; University of North Carolina Chapel Hill; University of North Carolina School of Medicine; University of North Carolina; University of North Carolina Chapel Hill; University of North Carolina School of Medicine; University of North Carolina; University of North Carolina Chapel Hill; University of North Carolina School of Medicine
  摘要：Community water fluoridation is an important component of oral health promotion, as fluoride exposure is a well-documented dental caries-preventive agent. Direct measurements of domestic water fluoride content provide valuable information regarding individuals' fluoride exposure and thus caries risk; however, they are logistically challenging to carry out at a large scale in oral health research. This article describes the development and evaluation of a novel method for the imputation of miss...