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作者：Maadooliat, Mehdi; Zhou, Lan; Najibi, Seyed Morteza; Gao, Xin; Huang, Jianhua Z.
作者单位：Marquette University; Texas A&M University System; Texas A&M University College Station; Persian Gulf University; King Abdullah University of Science & Technology
摘要：This article develops a method for simultaneous estimation of density functions for a collection of populations of protein backbone angle pairs using a data-driven, shared basis that is constructed by bivariate spline functions defined on a triangulation of the bivariate domain. The circular nature of angular data is taken into account by imposing appropriate smoothness constraints across boundaries of the triangles. Maximum penalized likelihood is used to fit the model and an alternating bloc...
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作者：Cai, T. Tony; Liu, Weidong
作者单位：University of Pennsylvania; Shanghai Jiao Tong University; Shanghai Jiao Tong University
摘要：Multiple testing of correlations arises in many applications including gene coexpression network analysis and brain connectivity analysis. In this article, we consider large-scale simultaneous testing for correlations in both the one-sample and two-sample settings. New multiple testing procedures are proposed and a bootstrap method is introduced for estimating the proportion of the nulls falsely rejected among all the true nulls. We investigate the properties of the proposed procedures both th...
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作者：Fu, Wenjiang
作者单位：University of Houston System; University of Houston
摘要：This article considers a regression model on a Lexis diagram of an a x p table with a single response in each cell following a distribution in the exponential family. A regression model on the fixed effects of a rows, p columns, and a + p - 1 diagonals induces a singular design matrix and yields multiple estimators, leading to parameter identifiability problem in age-period-cohort analysis in social sciences, demography, and epidemiology, where assessment of secular trend in age, period, and b...
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作者：Schofield, Matthew R.; Barker, Richard J.; Gelman, Andrew; Cook, Edward R.; Briffa, Keith R.
作者单位：University of Kentucky; University of Otago; University of Otago; Columbia University; Columbia University; University of East Anglia
摘要：Quantifying long-term historical climate is fundamental to understanding recent climate change. Most instrumentally recorded climate data are only available for the past 200 years, so proxy observations from natural archives are often considered. We describe a model-based approach to reconstructing climate defined in terms of raw tree-ring measurement data that simultaneously accounts for nonclimatic and climatic variability. In this approach, we specify a joint model for the tree-ring data an...
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作者：Chatterjee, Nilanjan; Chen, Yi-Hau; Maas, Paige; Carroll, Raymond J.
作者单位：Johns Hopkins University; Johns Hopkins Bloomberg School of Public Health; Johns Hopkins University; National Institutes of Health (NIH) - USA; NIH National Cancer Institute (NCI); NIH National Cancer Institute- Division of Cancer Epidemiology & Genetics; Academia Sinica - Taiwan; National Institutes of Health (NIH) - USA; NIH National Cancer Institute (NCI); Texas A&M University System; Texas A&M University College Station; University of Technology Sydney
摘要：Information from various public and private data sources of extremely large sample sizes are now increasingly available for research purposes. Statistical methods are needed for using information from such big data sources while analyzing data from individual studies that may collect more detailed information required for addressing specific hypotheses of interest. In this article, we consider the problem of building regression models based on individual-level data from an internal study while...
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作者：Li, Wentao; Chen, Rong; Tan, Zhiqiang
作者单位：Lancaster University; Rutgers University System; Rutgers University New Brunswick
摘要：Sequential Monte Carlo is a useful simulation-based method for online filtering of state-space models. For certain complex state-space models, a single proposal distribution is usually not satisfactory and using multiple proposal distributions is a general approach to address various aspects of the filtering problem. This article proposes an efficient method of using multiple proposals in combination with control variates. The likelihood approach of Tan (2004) is used in both resampling and es...
