4期

最新文章

• JOINT IDENTIFICATION OF SPATIALLY VARIABLE GENES VIA A NETWORK-ASSISTED BAYESIAN REGULARIZATION APPROACH AI翻译
  作者：Wu, Mingcong; Li, Yang; Ma, Shuangge; Wu, Mengyun
  作者单位：Renmin University of China; Renmin University of China; Yale University; Shanghai University of Finance & Economics
  摘要：Identifying genes that display spatial patterns is critical to investigating expression interactions within a spatial context and further dissecting biological understanding of complex mechanistic functionality. Despite the increase in statistical methods designed to identify spatially variable genes, they are mostly based on marginal analysis and share the limitation that the dependence (network) structures among genes are not well accommodated, where a biological process usually involves cha...
• JOINT IDENTIFICATION OF SPATIALLY VARIABLE GENES VIA A NETWORK-ASSISTED BAYESIAN REGULARIZATION APPROACH AI翻译
  作者：Wu, Mingcong; Li, Yang; Ma, Shuangge; Wu, Mengyun
  作者单位：Renmin University of China; Renmin University of China; Yale University; Shanghai University of Finance & Economics
  摘要：Identifying genes that display spatial patterns is critical to investigating expression interactions within a spatial context and further dissecting biological understanding of complex mechanistic functionality. Despite the increase in statistical methods designed to identify spatially variable genes, they are mostly based on marginal analysis and share the limitation that the dependence (network) structures among genes are not well accommodated, where a biological process usually involves cha...
• CONSTRAINED MIXTURE-OF-MIXTURE MODEL WITH APPLICATION TO KEYSTROKE DYNAMICS AI翻译
  作者：Simpson, Andrew; Michael, Semhar
  作者单位：South Dakota State University
  摘要：Keystroke dynamics has been used to both authenticate users of computer systems and to detect unauthorized users attempting to gain access. Many existing methods are supervised, assuming the true user of each keystroke is known a priori. However, this assumption does not always hold, particularly in businesses and government agencies that have internal systems accessible by multiple individuals. In such settings, unsupervised methods must be employed. One natural approach is to use finite mixt...
• IMPROVING ACCURACY IN CELL-PERTURBATION EXPERIMENTS BY LEVERAGING AUXILIARY INFORMATION AI翻译
  作者：Loper, Jackson; Solomon, Noam; Regier, Jeffrey
  作者单位：University of Michigan; University of Michigan System; University of Michigan
  摘要：Modern cell-perturbation experiments expose cells to panels of hundreds of treatments, such as cytokines or CRISPR guides. These experiments are designed to investigate whether a particular gene is up-or downregulated by exposure to each treatment. Typical estimators of whether a gene is up-or down-regulated make many errors due to high levels of experimental noise and complex donor and batch effects. In this article we explore whether estimator error rates can be reduced by pooling measuremen...
• BAYESIAN GROUP-SHRINKAGE BASED ESTIMATION FOR PANEL VECTOR AUTOREGRESSIVE MODELS WITH MIXED FREQUENCY DATA AI翻译
  作者：Hakraborty, Ilanjana; Hare, Shitij; Ichailidis, Eorge
  作者单位：Indian Institute of Management (IIM System); Indian Institute of Management Udaipur (IIMU); State University System of Florida; University of Florida; University of California System; University of California Los Angeles
  摘要：Panel vector autoregressive (VAR) models are effective tools for capturing temporal relationships between a set of variables (e.g., macroeconomic indicators of an economy) while accounting for interdependencies between a set of entities (e.g., market sectors or whole economies). For modeling macroeconomic data, this challenge is often further accentuated by the presence of variables observed at different frequencies. Existing Bayesian approaches that link entity-specific VAR models often impos...
• ESTIMATING THE TIME-TO-EVENT DISTRIBUTION FOR LOAN-LEVEL DATA WITHIN A CONSUMER AUTO LOAN ASSET-BACKED SECURITY AI翻译
  作者：Lautier, Jackson P.; Pozdnyakov, Vladimir; Yan, Jun
  作者单位：Bentley University; University of Connecticut
  摘要：The random cash flows of consumer auto asset-backed securities (ABS) depend critically on the time-to-event distribution of its individual, securitized assets. Estimating this distribution has historically been challenged by limited data. Recent regulatory changes reversed this, however, and asset-level auto ABS data is now publicly available to investors for the first time. The idiosyncrasies of this ABS data present new difficulties in estimating the loan-level lifetime distribution due to i...
• NORMALIZED AREA ABOVE QUANTILE: AN ALTERNATIVE MEASURE TO RESTRICTED MEAN SURVIVAL TIME AI翻译
  作者：Zhang, Chenyang; Gu, Jiaqi; Wu, Yuanshan; Yin, Guosheng
  作者单位：University of Hong Kong; Stanford University; Stanford Medicine; State University System of Florida; University of South Florida; Zhongnan University of Economics & Law
  摘要：The restricted mean survival time (RMST), which quantifies the average survival time within an investigational time interval, has been widely used to evaluate treatment effects, especially when comparing treatment survival profiles across treatments where the proportional hazards assumption does not hold. However, in the ENACT trial, we observed significant differences in follow-up periods across treatment groups (34 months vs. 20 months), and analysis relying on the RMST difference could resu...
• TOMOGRAPHIC RECONSTRUCTION OF DISEASE TRANSMISSION LANDSCAPES FROM GPS-RECORDED RANDOM PATHS AI翻译
  作者：Diaz-Rodriguez, Jairo; Gomez, Juan Pablo; Orange, Jeremy P.; Burkett-Cadena, Nathan D.; Wisely, Samantha M.; Blackburn, Jason K.; Sardy, Sylvain
  作者单位：York University - Canada; Universidad del Norte Colombia; State University System of Florida; University of Florida; State University System of Florida; University of Florida; State University System of Florida; University of Florida; State University System of Florida; University of Florida; University of Geneva
  摘要：Identifying areas in a landscape where individuals have a higher likelihood of disease infection is key to managing diseases. Unlike conventional methods relying on ecological assumptions, we perform a novel epidemiological tomography for the estimation of landscape propensity to disease infection, using GPS animal tracks in a manner analogous to tomographic techniques in positron emission tomography (PET). Treating tracking data as random Radon transforms, we analyze Cervid movements in a gam...
• OPTIMAL ROBUST STRATEGIES FOR ACCELERATED LIFE TESTS AND FATIGUE TESTING OF POLYMER COMPOSITE MATERIALS AI翻译
  作者：Lee, I-Chen; Chen, Ray-Bing; Wong, Weng Kee
  作者单位：National Cheng Kung University; National Tsing Hua University; University of California System; University of California Los Angeles
  摘要：Polymer composite materials are widely used in industries, such as transportation and renewable energy, due to their lightweight nature, high strength, and outstanding durability. Ensuring their long-term reliability under fatigue conditions is critical for safety and performance, and this requires efficient accelerated life testing (ALT) methods. The ALT aims to provide precise lifetime predictions while minimizing costs. However, existing approaches often rely on locally optimal designs depe...
• FEATURE SCREENING FOR CLUSTERING ANALYSIS OF COUNT DATA WITH AN APPLICATION TO SINGLE-CELL RNA-SEQUENCING AI翻译
  作者：Wang, Changhu; Chen, Zihao; Xi, Ruibin
  作者单位：Peking University; Peking University
  摘要：Motivated by single-cell RNA sequencing (scRNA-seq) applications, we consider feature screening for ultrahigh-dimensional clustering of count data. A critical problem in scRNA-seq studies is cell type identification, typically achieved by clustering high-dimensional gene expression data. However, many genes are cluster-irrelevant, and their inclusion can significantly impact clustering accuracy. Effective screening of cluster-relevant genes, known as the feature screening problem in cluster an...