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作者：Chen, Kun; Mishra, Neha; Smyth, Joan; Bar, Haim; Schifano, Elizabeth; Kuo, Lynn; Chen, Ming-Hui
作者单位：University of Connecticut; University of Connecticut
摘要：Necrotic enteritis (NE) is a serious disease of poultry caused by the bacterium C. perfringens. To identify proteins of C. perfringens that confer virulence with respect to NE, the protein secretions of four NE disease-producing strains and one baseline nondisease-producing strain of C. perfringens were examined. The problem then becomes a clustering task, for the identification of two extreme groups of proteins that were produced at either concordantly higher or concordantly lower levels acro...
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作者：Fattorini, L.; Marcheselli, M.; Pratelli, L.
作者单位：University of Siena
摘要：The estimation of the values of a survey variable in finite populations of spatial units is considered for making maps when samples of spatial units are selected by probabilistic sampling schemes. The single values are estimated by means of an inverse distance weighting predictor. The design-based asymptotic properties of the resulting maps, referred to as the design-based maps, are considered when the study area remains fixed and the sizes of the spatial units tend to zero. Conditions ensurin...
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作者：Swihart, Bruce J.; Fay, Michael P.; Miura, Kazutoyo
作者单位：National Institutes of Health (NIH) - USA; NIH National Institute of Allergy & Infectious Diseases (NIAID); National Institutes of Health (NIH) - USA; NIH National Institute of Allergy & Infectious Diseases (NIAID)
摘要：Transmission blocking vaccines for malaria are not designed to directly protect vaccinated people from malaria disease, but to reduce the probability of infecting other people by interfering with the growth of the malaria parasite in mosquitoes. Standard membrane-feeding assays compare the growth of parasites in mosquitoes from a test sample (using antibodies from a vaccinated person) compared to a control sample. There is debate about whether to estimate the transmission reducing activity (TR...
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作者：Chen, Xi; Irie, Kaoru; Banks, David; Haslinger, Robert; Thomas, Jewell; West, Mike
作者单位：Duke University; University of Tokyo
摘要：Traffic flow count data in networks arise in many applications, such as automobile or aviation transportation, certain directed social network contexts, and Internet studies. Using an example of Internet browser traffic flow through site-segments of an international news website, we present Bayesian analyses of two linked classes of models which, in tandem, allow fast, scalable, and interpretable Bayesian inference. We first develop flexible state-space models for streaming count data, able to...
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作者：Nussbaum, Barry D.
摘要：Each year, the Journal of the American Statistical Association publishes the presidential address from the Joint Statistical Meetings. Here, we present the 2017 address verbatim save for the addition of references and a few minor editorial corrections.
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作者：Calonico, Sebastian; Cattaneo, Matias D.; Farrell, Max H.
作者单位：University of Miami; University of Michigan System; University of Michigan; University of Chicago
摘要：Nonparametric methods play a central role in modern empirical work. While they provide inference procedures that are more robust to parametric misspecification bias, they may be quite sensitive to tuning parameter choices. We study the effects of bias correction on confidence interval coverage in the context of kernel density and local polynomial regression estimation, and prove that bias correction can be preferred to undersmoothing for minimizing coverage error and increasing robustness to t...
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作者：Zhou, Haiming; Hanson, Timothy
作者单位：Northern Illinois University; University of South Carolina System; University of South Carolina Columbia; Medtronic
摘要：A comprehensive, unified approach to modeling arbitrarily censored spatial survival data is presented for the three most commonly used semiparametric models: proportional hazards, proportional odds, and accelerated failure time. Unlike many other approaches, all manner of censored survival times are simultaneously accommodated including uncensored, interval censored, current-status, left and right censored, and mixtures of these. Left-truncated data are also accommodated leading to models for ...
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作者：Liu, Dungang; Zhang, Heping
作者单位：University System of Ohio; University of Cincinnati; Yale University
摘要：Ordinal outcomes are common in scientific research and everyday practice, and we often rely on regression models to make inference. A long-standing problem with such regression analyses is the lack of effective diagnostic tools for validating model assumptions. The difficulty arises from the fact that an ordinal variable has discrete values that are labeled with, but not, numerical values. The values merely represent ordered categories. In this article, we propose a surrogate approach to defin...
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作者：Chen, Jia; Li, Degui; Linton, Oliver; Lu, Zudi
作者单位：University of York - UK; University of York - UK; University of Cambridge; University of Southampton; University of Southampton
摘要：We propose two semiparametric model averaging schemes for nonlinear dynamic time series regression models with a very large number of covariates including exogenous regressors and auto-regressive lags. Our objective is to obtain more accurate estimates and forecasts of time series by using a large number of conditioning variables in a nonparametric way. In the first scheme, we introduce a kernel sure independence screening (KSIS) technique to screen out the regressors whose marginal regression...
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作者：Li, Alexander Hanbo; Bradic, Jelena
作者单位：University of California System; University of California San Diego
摘要：This article examines the role and the efficiency of nonconvex loss functions for binary classification problems. In particular, we investigate how to design adaptive and effective boosting algorithms that are robust to the presence of outliers in the data or to the presence of errors in the observed data labels. We demonstrate that nonconvex losses play an important role for prediction accuracy because of the diminishing gradient propertiesthe ability of the losses to efficiently adapt to the...
