3期

最新文章

• CONTRASTIVE LATENT VARIABLE MODELING WITH APPLICATION TO CASE-CONTROL SEQUENCING EXPERIMENTS AI翻译
  作者：Jones, Andrew; Townes, F. William; Li, Didong; Engelhardt, Barbara E.
  作者单位：Princeton University
  摘要：High-throughput RNA-sequencing (RNA-seq) technologies are powerful tools for understanding cellular state. Often, it is of interest to quantify and to summarize changes in cell state that occur between experimental or biological conditions. Differential expression is typically assessed using univariate tests to measure genewise shifts in expression. However, these methods largely ignore changes in transcriptional correlation. Furthermore, there is a need to identify the low-dimensional structu...
• MODEL CALIBRATION USING SEMICONTINUOUS SPATIAL DATA AI翻译
  作者：Chang, Won; Konomi, Bledar A.; Karagiannis, Georgios; Guan, Yawen; Haran, Murali
  作者单位：University System of Ohio; University of Cincinnati; Durham University; University of Nebraska System; University of Nebraska Lincoln; Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park
  摘要：Rapid changes in Earth's cryosphere caused by human activity can lead to significant environmental impacts. Computer models provide a useful tool for understanding the behavior and projecting the future of Arctic and Antarctic ice sheets. However, these models are typically subject to large parametric uncertainties, due to poorly constrained model input parameters that govern the behavior of simulated ice sheets. Computer model calibration provides a formal statistical framework to infer param...
• DETECTION OF TWO-WAY OUTLIERS IN MULTIVARIATE DATA AND APPLICATION TO CHEATING DETECTION IN EDUCATIONAL TESTS AI翻译
  作者：Chen, Yunxiao; Lu, Yan; Moustaki, Irini
  作者单位：University of London; London School Economics & Political Science
  摘要：The paper proposes a new latent variable model for the simultaneous (two-way) detection of outlying individuals and items for item-response-type data. The proposed model is a synergy between a factor model for binary responses and continuous response times that captures normal item response behaviour and a latent class model that captures the outlying individuals and items. A statistical decision framework is developed under the proposed model that provides compound decision rules for controll...
• INTEGRATED QUANTILE RANK TEST (IQRAT) FOR GENE-LEVEL ASSOCIATIONSINTEGRATED QUANTILE RANK TEST (IQRAT) FOR GENE-LEVEL ASSOCIATIONS AI翻译
  作者：Wang, Tianying; Ionita-Laza, Iuliana; Wei, Ying
  作者单位：Tsinghua University; Tsinghua University; Columbia University
  摘要：Gene-based testing is a commonly employed strategy in many genetic association studies. Gene-trait associations can be complex due to underlying population heterogeneity, gene-environment interactions, and various other reasons. Existing gene-based tests, such as burden and sequence kernel association tests (SKAT), are mean-based tests and may miss or underestimate higher-order associations that could be scientifically interesting. In this paper we propose a new family of gene-level associatio...
• PARAMETER CALIBRATION IN WAKE EFFECT SIMULATION MODEL WITH STOCHASTIC GRADIENT DESCENT AND STRATIFIED SAMPLING AI翻译
  作者：Liu, Bingjie; Yue, Xubo; Byon, Eunshin; Al Kontar, Raed
  作者单位：Zhejiang Laboratory; University of Michigan System; University of Michigan
  摘要：As the market share of wind energy has been rapidly growing, wake effect analysis is gaining substantial attention in the wind industry. Wake effects represent a wind shade cast by upstream turbines to the downwind direction, resulting in power deficits in downstream turbines. To quantify the aggregated influence of wake effects on the power generation of a wind farm, various simulation models have been developed, including Jensen's wake model. These models include parameters that need to be c...
• THE CAUSAL EFFECT OF A TIMEOUT AT STOPPING AN OPPOSING RUN IN THE NBA AI翻译
  作者：Gibbs, Connor P.; Elmore, Ryan; Fosdick, Bailey K.
  作者单位：Colorado State University System; Colorado State University Fort Collins; University of Denver
  摘要：In the summer of 2017, the National Basketball Association reduced the number of total timeouts, along with other rule changes, to regulate the flow of the game. With these rule changes it becomes increasingly important for coaches to effectively manage their timeouts. Understanding the utility of a timeout under various game scenarios, for example, during an opposing team's run, is of the utmost importance. There are two schools of thought when the opposition is on a run: (1) call a timeout a...
• A BAYESIAN HIERARCHICAL MODEL FOR COMBINING MULTIPLE DATA SOURCES IN POPULATION SIZE ESTIMATION AI翻译
  作者：Parsons, Jacob; Niu, Xiaoyue; Bao, Le
  作者单位：GlaxoSmithKline; Glaxosmithkline United Kingdom; Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park
  摘要：To combat the HIV/AIDS pandemic effectively, targeted interventions among certain key populations play a critical role. Examples of such key populations include sex workers, people who inject drugs, and men who have sex with men. While having accurate estimates for the size of these key populations is important, any attempt to directly contact or count members of these populations is difficult. As a result, indirect methods are used to produce size estimates. Multiple approaches for estimating...
• SPATIAL FUNCTIONAL DATA MODELING OF PLANT REFLECTANCES AI翻译
  作者：White, Philip A.; Frye, Henry; Christensen, Michael F.; Gelfand, Alan E.; Silander, John A., Jr.
  作者单位：Brigham Young University; University of Connecticut; Duke University
  摘要：Plant reflectance spectra, the profile of light reflected by leaves across different wavelengths, supply the spectral signature for a species at a spatial location to enable estimation of functional and taxonomic diversity for plants. We consider leaf spectra as responses to be explained spatially. These reflectance spectra are also functions over wavelength that respond to the environment. Our motivating data are gathered for several plant families from the Greater Cape Floristic Region (GCFR...
• CAUSAL INFERENCE FOR TIME-VARYING TREATMENTS IN LATENT MARKOV MODELS: AN APPLICATION TO THE EFFECTS OF REMITTANCES ON POVERTY DYNAMICS AI翻译
  作者：Tullio, Federico; Bartolucci, Francesco
  作者单位：European Central Bank; Bank of Italy; University of Perugia
  摘要：To assess the effectiveness of remittances on the poverty level of recipient households, we propose a causal inference approach that may be applied with longitudinal data and time-varying treatments. The method relies on the integration of a propensity score based technique, the inverse propensity weighting, with a general latent Markov (LM) framework. It is particularly useful when the outcome of interest is a characteristic that is not directly observable, and the analysis is focused on: (i)...
• B-SCALING: A NOVEL NONPARAMETRIC DATA FUSION METHOD AI翻译
  作者：Liu, Yiwen; Sun, Xiaoxiao; Zhong, Wenxuan; Li, Bing
  作者单位：University of Arizona; University System of Georgia; University of Georgia; Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park
  摘要：Very often for the same scientific question, there may exist different techniques or experiments that measure the same numerical quantity. Historically, various methods have been developed to exploit the information within each type of data independently. However, statistical data fusion methods that could effectively integrate multisource data under a unified framework are lacking. In this paper we propose a novel data fusion method, called Bscaling, for integrating multisource data. Consider...