3期

最新文章

• A BAYESIAN RECORD LINKAGE APPROACH TO APPLICATIONS IN TREE DEMOGRAPHY USING OVERLAPPING LIDAR SCANS AI翻译
  作者：Drew, Lane; Kaplan, Andee; Breckheimer, Ian
  作者单位：Colorado State University System; Colorado State University Fort Collins
  摘要：In the information age, it has become increasingly common for data containing records about overlapping individuals to be distributed across multiple sources, making it necessary to identify which records refer to the same individual. The goal of record linkage is to estimate this unknown structure in the absence of a unique identifiable attribute. We introduce a Bayesian hierarchical record linkage model for spatial location data motivated by the estimation of individual-specific growth-size ...
• MEASURING INFORMATION TRANSFER BETWEEN NODES IN A BRAIN NETWORK THROUGH SPECTRAL TRANSFER ENTROPY AI翻译
  作者：Redondo, Paolo Victor; Huser, Raphael; Ombao, Hernando
  作者单位：King Abdullah University of Science & Technology
  摘要：Brain connectivity characterizes interactions between different regions of a brain network during resting-state or performance of a cognitive task. In studying brain signals, such as electroencephalograms (EEG), one formal approach to investigating connectivity is through an information-theoretic causal measure called transfer entropy (TE). To enhance the functionality of TE in brain signal analysis, we propose a novel methodology that captures cross-channel information transfer in the frequen...
• FUNCTIONAL-COEFFICIENT MODELS FOR MULTIVARIATE TIME SERIES IN DESIGNED EXPERIMENTS: WITH APPLICATIONS TO BRAIN SIGNALS AI翻译
  作者：Redondo, Paolo Victor; Huser, Raphael; Ombao, Hernando
  作者单位：King Abdullah University of Science & Technology
  摘要：To study the neurophysiological basis of attention deficit hyperactivity disorder (ADHD), clinicians use electroencephalography (EEG) which records neuronal electrical activity on the cortex. Instead of focusing on single-channel spectral power, a novel framework for investigating interactions (dependence) between channels in the entire network is proposed. Although dependence measures, such as coherence and partial directed coherence (PDC), are well explored in studying brain connectivity, th...
• A LATENT VARIABLE MODEL WITH CHANGE-POINTS AND ITS APPLICATION TO TIME PRESSURE EFFECTS IN EDUCATIONAL ASSESSMENT AI翻译
  作者：Wallin, Gabriel; Chen, Yunxiao; Lee, Yi-Hsuan; Li, Xiaoou
  作者单位：Lancaster University; University of London; London School Economics & Political Science; University of Minnesota System; University of Minnesota Twin Cities
  摘要：Educational assessments are valuable tools for measuring student knowledge and skills, but their validity can be compromised when test takers exhibit changes in response behavior due to factors such as time pressure. To address this issue, we introduce a novel latent factor model with change-points for item response data, designed to detect and account for individual-level shifts in response patterns during testing. This model extends traditional item response theory (IRT) by incorporating per...
• NETWORK-BASED MODELING OF EMOTIONAL EXPRESSIONS FOR MULTIPLE CANCERS VIA A LINGUISTIC ANALYSIS OF AN ONLINE HEALTH COMMUNITY AI翻译
  作者：Fan, Xinyan; Liu, Mengque; Ma, Shuangge
  作者单位：Renmin University of China; Renmin University of China; Xi'an Jiaotong University; Yale University
  摘要：The diagnosis and treatment of cancer can evoke a variety of adverse emotions. Online health communities (OHCs) provide a safe platform for cancer patients and those closely related to express emotions without fear of judgement or stigma. In the literature, linguistic analysis of OHCs is usually limited to a single disease and based on methods with various technical limitations. In this article we analyze posts from September 2003 to September 2022 on eight cancers that are publicly available ...
• QUANTILE REGRESSION WITH A ONE-SIDED MISCLASSIFIED BINARY REGRESSOR AI翻译
  作者：Lamarche, Carlos
  作者单位：University of Kentucky
  摘要：Addressing misreporting of participation in social programs, which is common and has increased in all major surveys, is important to study inter-generational effects of policies. In this paper we propose a practical estimator for a quantile regression model with endogenous one-sided misreporting. The identification of the model uses a parametric first stage and information related to participation and misreporting. We show that the estimator is consistent and asymptotically normal. We also est...
• ESTIMATING LIFE EXPECTANCY IN THE CANADIAN ELDERLY POPULATION WITH DEMENTIA USING PREVALENT COHORT SURVIVAL DATA AI翻译
  作者：Shariati, Ali; Asgharian, Masoud; Fakoor, Vahid
  作者单位：Macquarie University; University of New South Wales Sydney; McGill University; Ferdowsi University Mashhad
  摘要：Dementia is globally one of the leading causes of death and the primarycause of dependency and disability in senior citizens. Life expectancy withdementia, defined as the average remaining lifespan for cases with dementia,is a key epidemiological concept in geriatrics. In spite of its significance formedical research and policy-making, this measure has not been studied forpeople with dementia in the Canadian population. We employ data from theCanadian Study of Health and Aging, a nationwide cr...
• DISTRIBUTED SUBSAMPLING AND QUASI DECORRELATED SCORE FOR CLUSTER DATA: AN APPLICATION TO BEIJING MULTISITE AIR QUALITY AI翻译
  作者：Ao, Unzhuo; Ang, Ei; Hao, Un
  作者单位：Nankai University; University of Wisconsin System; University of Wisconsin Madison
  摘要：Forecasting and controlling PM2.5 emissions is crucial for environmental protection and public health. To analyze the Beijing multisite air quality dataset on regional and seasonal effects in PM2.5 emissions, which has large-scale distributed cluster/longitudinal data and high-dimensional covariates, we develop a unified cluster subsampling method for generalized linear models (GLMs) to downsize the data volume and reduce computational burden. To incorporate the within-subject correlation, a w...
• FACTOR-ASSISTED LEARNING OF ULTRAHIGH-DIMENSIONAL COVARIATES WITH DISTRIBUTED FUNCTIONAL AND SCALAR SHINTURES WITH APPLICATIONS-TO-THE AVON-LONGITUDINAL STUDY -OF PARENTS AND CHILDREN AI翻译
  作者：Wen, Shoudao; Liu, Li; Liu, Jin; Li, Yi; Lin, Huazhen
  作者单位：Southwestern University of Finance & Economics - China; Southwestern University of Finance & Economics - China; Wuhan University; Chinese University of Hong Kong; University of Michigan System; University of Michigan
  摘要：Atherosclerosis is a chronic, multifaceted disease that affects multiple arterial systems. Its progression is primarily driven by low-density lipopro-tein (LDL) cholesterol accumulation, which promotes localized arterial le-sion formation. These lesions can lead to severe complications, including is-chemic heart disease (IHD) and stroke. Both genetic factors, particularly sin-gle nucleotide polymorphisms (SNPs), and age-related changes in body com-position significantly influence LDL levels, g...
• TREATMENT EFFECT HETEROGENEITY AND IMPORTANCE MEASURES FOR MULTIVARIATE CONTINUOUS TREATMENTS AI翻译
  作者：Shin, Heejun; Linero, Antonio; Audirac, Michelle; Irene, Kezia; Braun, Danielle; Antonelli, Joseph
  作者单位：Harvard University; Harvard T.H. Chan School of Public Health; University of Texas System; University of Texas Austin; State University System of Florida; University of Florida
  摘要：Estimating the joint effect of a multivariate, continuous exposure is crucial, particularly in environmental health where interest lies in simultaneously evaluating the impact of multiple environmental pollutants on health. We develop novel methodology that addresses two key issues for estimation of treatment effects of multivariate, continuous exposures. We use nonparametric Bayesian methodology that is flexible to ensure our approach can capture a wide range of data generating processes. Add...