2023

最新文章

• DESIGNING EXPERIMENTS FOR ESTIMATING AN APPROPRIATE OUTLET SIZE FOR A SILO TYPE PROBLEM AI翻译
  作者：Lopez-Fidalgo, Jesus; May, Aterina; Moler, Jose Antonio
  作者单位：University of Navarra; Universidad Publica de Navarra
  摘要：Jam formation is a problem that may occur when granular material is discharged by gravity from a silo. The estimation of the minimum outlet size, which guarantees that the time to the next jamming event is long enough, can be crucial in the industry. The time is modeled by an exponential distribution with two unknown parameters, and this goal translates to precise estimation of a nonlinear transformation of the parameters. We obtain c-optimum experimental designs with that purpose, applying th...
• DESIGN-BASED MAPPING OF LAND USE/LAND COVER CLASSES WITH BOOTSTRAP ESTIMATION OF PRECISION BY NEAREST-NEIGHBOUR INTERPOLATION AI翻译
  作者：Marcelli, Agnese; Di Biase, Rosa Maria; Corona, Piermaria; Stehman, Stephen V.; Fattorini, Lorenzo
  作者单位：Tuscia University; University of Milano-Bicocca; Consiglio per la Ricerca in Agricoltura e L'analisi Dell'economia Agraria (CREA); State University of New York (SUNY) System; State University of New York (SUNY) College of Environmental Science & Forestry; University of Siena
  摘要：Land use/land cover mapping is usually performed by classifying satellite imagery (e.g., Landsat, Sentinel) for the whole survey region using classification algorithms implemented with training data. Subsequently, probabilistic samples are usually implemented with the main purpose of assessing the accuracy of these maps by comparing the map class and the ground condition determined for the sampled units. The main proposal of this paper is to directly exploit these probabilistic samples to esti...
• LOG-GAUSSIAN COX PROCESS MODELING OF LARGE SPATIAL LIGHTNING DATA USING SPECTRAL AND LAPLACE APPROXIMATIONS AI翻译
  作者：Gelsinger, Megan L.; Griffin, Maryclare; Matteson, David; Guinness, Joseph
  作者单位：Cornell University; University of Massachusetts System; University of Massachusetts Amherst
  摘要：Lightning is a destructive and highly visible product of severe storms, yet there is still much to be learned about the conditions under which lightning is most likely to occur. The GOES-16 and GOES-17 satellites, launched in 2016 and 2018 by NOAA and NASA, collect a wealth of data regarding individual lightning strike occurrence and potentially related atmospheric variables. The acute nature and inherent spatial correlation in lightning data renders standard regression analyses inappropriate....
• A BAYESIAN PANEL VECTOR AUTOREGRESSION TO ANALYZE THE IMPACT OF CLIMATE SHOCKS ON HIGH-INCOME ECONOMIES AI翻译
  作者：Huber, Florian; Krisztin, Tamas; Pfarrhofer, Michael
  作者单位：Salzburg University; International Institute for Applied Systems Analysis (IIASA); University of Vienna
  摘要：In this paper we assess the impact of climate shocks on futures markets for agricultural commodities and a set of macroeconomic quantities for multiple high-income economies. To capture relations among countries, markets, and climate shocks, this paper proposes parsimonious methods to estimate high-dimensional panel vector autoregressions. We assume that coefficients associated with domestic lagged endogenous variables arise from a Gaussian mixture model while further parsimony is achieved usi...
• distinct: A NOVEL APPROACH TO DIFFERENTIAL DISTRIBUTION ANALYSES AI翻译
  作者：Tiberi, Simone; Crowell, Helena L.; Samartsidis, Pantelis; Weber, Lukas M.; Robinson, Mark D.
  作者单位：University of Bologna; University of Zurich; Swiss Institute of Bioinformatics; University of Zurich; University of Cambridge; MRC Biostatistics Unit; Johns Hopkins University; Johns Hopkins Bloomberg School of Public Health
  摘要：We present distinct, a general method for differential analysis of full distributions that is well suited to applications on single-cell data, such as single-cell RNA sequencing and high-dimensional flow or mass cytometry data. High-throughput single-cell data reveal an unprecedented view of cell identity and allow complex variations between conditions to be discovered; nonetheless, most methods for differential expression target differences in the mean and struggle to identify changes where t...
• PROBABILISTIC HIV RECENCY CLASSIFICATION-A LOGISTIC REGRESSION WITHOUT LABELED INDIVIDUAL LEVEL TRAINING DATA AI翻译
  作者：Sheng, Ben; Li, Changcheng; Bao, Le; Li, Runze
  作者单位：Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park; Dalian University of Technology
  摘要：Accurate HIV incidence estimation, based on individual recent infec-tion status (recent vs long-term infection), is important for monitoring the epidemic, targeting interventions to those at greatest risk of new infec-tion, and evaluating existing programs of prevention and treatment. Starting from 2015, the population-based HIV impact assessment (PHIA) individual -level surveys are implemented in the most-affected countries in sub-Saharan Africa. PHIA is a nationally-representative HIV-focuse...
• VARYING IMPACTS OF LETTERS OF RECOMMENDATION ON COLLEGE ADMISSIONS AI翻译
  作者：Ben-Michael, Eli; Feller, Avi; Rothstein, Jesse
  作者单位：Carnegie Mellon University; Carnegie Mellon University; University of California System; University of California Berkeley; University of California System; University of California Berkeley; University of California System; University of California Berkeley
  摘要：In a pilot program during the 2016-17 admissions cycle, the University of California, Berkeley invited many applicants for freshman admission to submit letters of recommendation. This proved controversial within the university, with concerns that this change would further disadvantage applicants from disadvantaged groups. To inform this debate, we use this pilot as the basis for an observational study of the impact of submitting letters of recommendation on subsequent admission, with the goal ...
• A BAYESIAN GROUP SELECTION WITH COMPOSITIONAL RESPONSES FOR ANALYSIS OF RADIOLOGIC TUMOR PROPORTIONS AND THEIR GENOMIC DETERMINANTS AI翻译
  作者：Chekouo, Thierry; Stingo, Francesco C.; Mohammed, Shariq; Rao, Arvind; Baladandayuthapani, Eerabhadran
  作者单位：University of Minnesota System; University of Minnesota Twin Cities; University of Florence; Boston University; University of Michigan System; University of Michigan; University of Michigan System; University of Michigan
  摘要：Volumetric imaging features are used in cancer research to determine the size and the composition of a tumor and have been shown to be prog-nostic of overall survival. In this paper we focus on the analysis of tumor component proportions of brain cancer patients collected through The Can-cer Genome Atlas (TCGA) project. Our main goal is to identify pathways and corresponding genes that can explain the heterogeneity of the composition of a brain tumor. In particular, we focus on the glioblastom...
• MULTIMODEL ENSEMBLE ANALYSIS WITH NEURAL NETWORK GAUSSIAN PROCESSES AI翻译
  作者：Harris, Trevor; Li, Bo; Sriver, Ryan
  作者单位：Texas A&M University System; Texas A&M University College Station; University of Illinois System; University of Illinois Urbana-Champaign; University of Illinois System; University of Illinois Urbana-Champaign
  摘要：Multimodel ensemble analysis integrates information from multiple climate models into a unified projection. However, existing integration approaches, based on model averaging, can dilute fine-scale spatial information and incur bias from rescaling low-resolution climate models. We propose a statistical approach, called NN-GPR, using Gaussian process regression (GPR) with an infinitely wide deep neural network based covariance function. NN-GPR requires no assumptions about the relationships bet...
• BAYESIAN LEARNING OF COVID-19 VACCINE SAFETY WHILE INCORPORATING ADVERSE EVENTS ONTOLOGY AI翻译
  作者：Zhao, Bangyao; Zhong, Yuan; Kang, Jian; Zhao, Lili
  作者单位：University of Michigan System; University of Michigan
  摘要：While vaccines are crucial to end the COVID-19 pandemic, public confidence in vaccine safety has always been vulnerable. Many statistical methtem) database to study the safety of COVID-19 vaccines. However, none of these methods considered the adverse event (AE) ontology. AEs are naturally related; for example, events of retching, dysphagia, and reflux are all related to an abnormal digestive system. Explicitly bringing AE relationships into the model can aid in the detection of true AE signal...