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作者：Ma, Rong; Tony Cai, T.; Li, Hongzhe
作者单位：University of Pennsylvania; University of Pennsylvania
摘要：Motivated by recent research on quantifying bacterial growth dynamics based on genome assemblies, we consider a permuted monotone matrix model , where the rows represent different samples, the columns represent contigs in genome assemblies and the elements represent log-read counts after preprocessing steps and Guanine-Cytosine (GC) adjustment. In this model, Theta is an unknown mean matrix with monotone entries for each row, pi is a permutation matrix that permutes the columns of Theta, and Z...
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作者：Laga, Ian; Bao, Le; Niu, Xiaoyue
作者单位：Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park
摘要：Estimating the size of hard-to-reach populations is an important problem for many fields. The network scale-up method (NSUM) is a relatively new approach to estimate the size of these hard-to-reach populations by asking respondents the question, How many X's do you know, where X is the population of interest (e.g., How many female sex workers do you know?). The answers to these questions form aggregated relational data (ARD). The NSUM has been used to estimate the size of a variety of subpopul...
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作者：Gorfine, Malka; Keret, Nir; Ben Arie, Asaf; Zucker, David; Hsu, Li
作者单位：Tel Aviv University; Hebrew University of Jerusalem; Fred Hutchinson Cancer Center
摘要：The UK Biobank is a large-scale health resource comprising genetic, environmental, and medical information on approximately 500,000 volunteer participants in the United Kingdom, recruited at ages 40-69 during the years 2006-2010. The project monitors the health and well-being of its participants. This work demonstrates how these data can be used to yield the building blocks for an interpretable risk-prediction model, in a semiparametric fashion, based on known genetic and environmental risk fa...
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作者：Heinrich, Claudio; Hellton, Kristoffer H.; Lenkoski, Alex; Thorarinsdottir, Thordis L.
摘要：Seasonal weather forecasts are crucial for long-term planning in many practical situations and skillful forecasts may have substantial economic and humanitarian implications. Current seasonal forecasting models require statistical postprocessing of the output to correct systematic biases and unrealistic uncertainty assessments. We propose a multivariate postprocessing approach using covariance tapering, combined with a dimension reduction step based on principal component analysis for efficien...
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作者：Martinez, Wendy L.
摘要：Each year, the Journal of the American Statistical Association (ASA) publishes the presidential address from the Joint Statistical Meetings (JSM). Here, we present the 2020 address verbatim save for the addition of references and a few minor editorial corrections.
