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作者：Wasserman, Larry; Zhou, Shuheng
作者单位：Carnegie Mellon University; Carnegie Mellon University; Swiss Federal Institutes of Technology Domain; ETH Zurich
摘要：One goal of statistical privacy research construct a data release mechanism that protects individual privacy while preset ving information content An example is a random mechanism that takes an input database X and outputs a random database Z according to a distribution Q(n) (vertical bar X) Differential privacy is a particular privacy requirement developed by computer scientists in which Q (vertical bar X) IS required to be insensitive to changes in one data point in X This makes it difficult...
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作者：Choi, Nam Hee; Li, William; Zhu, Ji
作者单位：University of Michigan System; University of Michigan; University of Minnesota System; University of Minnesota Twin Cities
摘要：In this paper. we extend the LASSO method (Tibshittant 1996) for simultaneously fitting a regression model and identifying important interaction terms Unlike most of the existing variable selection methods. our method automatically enforces the heredity constraint that in Interaction term can be included in the model only it the corresponding main terms are also included in the model Furthermore, we extend our method to generalized linear models, and show that It performs as well as if the tru...
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作者：Savchuk, Olga Y.; Hart, Jeffrey D.; Sheather, Simon J.
作者单位：State University of New York (SUNY) System; Binghamton University, SUNY; Texas A&M University System; Texas A&M University College Station
摘要：A new method of bandwidth selection or kernel density estimators is proposed The method termed indirect cross-validation (ICY). makes use of so-called selection kernels Least-squares cross-validation (LSCV) is used to select the bandwidth of a selection-kernel estimator and this bandwidth is appropriately escaled for use in a Gaussian kernel estimator The proposed selection kernels are linear combinations of two Gaussian kennels and need not be unimodal or positive A theory is developed showin...
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作者：Glynn, Adam N.; Richardson, Thomas S.; Handcock, Mark S.
作者单位：Harvard University; University of Washington; University of Washington Seattle; University of Washington; University of Washington Seattle
摘要：In close elections, the losing side has an incentive to obtain evidence that the election result is incorrect Sometimes this evidence comes in the form of court testimony from a sample of invalid voters, and this testimony is used to adjust vote totals (Belcher v Mayor of Ann Arbor 1978, Borders v King County 2005) However, while courts may be reluctant to make explicit findings about out-of-sample data (e g Invalid voters that do not testify), when samples are used to adjust vote totals. the ...
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作者：Sloughter, J. McLean; Gneiting, Tilmann; Raftery, Adrian E.
作者单位：Seattle University; Ruprecht Karls University Heidelberg; University of Washington; University of Washington Seattle
摘要：The current weather forecasting paradigm is deterministric, based on numerical models Multiple estimates of the curl em state of the atmosphere are used to generate an ensemble of deterministic predictions Ensemble forecasts. while providing information on forecast uncertainty. are often uncalibrated Bayesian model averaging (BMA) is a statistical ensemble postprocessing method that creates calibrated predictive probability density functions (PM's) Probabilistic wind forecasting offers two cha...
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作者：Peress, Michael; Spirling, Arthur
作者单位：University of Rochester; Harvard University; Harvard University
摘要：We study the critical opinions of expert movie reviewers as an item response problem Building on earlier unfolding models, we develop a framework that models an individual's decision to approve of disapprove of an item Using this approach we are able to recover the locations of movies and ideal points of critics in the same multidimensional space We demonstrate that a three-dimensional model captures much of the variation in critical opinions The first dimension signifies movie quality while t...
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作者：Cressie, Noel; O'Donnell, David
作者单位：University System of Ohio; Ohio State University; University of Glasgow
摘要：This note is based on an invited discussion of the article, A Moving Average Approach for Spatial Statistical Models on Stream Networks by Jay M Ver Hoef and Erin E Peterson Ver Hod and Peterson (hereafter VHP) have extended the idea of flow-related statistical dependence in streams to one where dependence may not respect flow. such as might happen when modeling data on fish in connected streams We congratulate VHP for their innovative paper on using moving average models in stream networks
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作者：Morton, Sally C.
作者单位：Research Triangle Institute
摘要：The discipline of statistics, we as individual statisticians, and the American Statistical Association (ASA) have been called to action We can and must play a vital part in the gathering. analysis. interpretation. and communication of evidence for informed policy decisions I ask you to answer yes and to take on the role of an honest broker of policy alternatives I ask you to support a proactive engagement by the ASA in informing policy While interaction in policy forums by the ASA is an opport...
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作者：Shao, Xiaofeng
作者单位：University of Illinois System; University of Illinois Urbana-Champaign
摘要：We propose a new resampling procedure. the dependent wild bootstrap. for stationary time series As a natural extension of the traditional wild bootstrap to time series setting, the dependent wild bootstrap offers a viable alternative to the existing block-based bootstrap methods. whose properties have been extensively studied over the last two decades Unlike all of the block-based bootstrap methods. the dependent wild bootstrap can be easily extended to irregularly spaced time series with no i...
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作者：Xia, Yingcun; Zhang, Dixin; Xu, Jinfeng
作者单位：National University of Singapore; Nanjing University
摘要：In this paper. we propose a new dimension reduction method by introducing a nominal regression model with the hazard function as the conditional mean. vs Inch naturally retrieves information from complete data and censored data as well Moreover. without requiring the linearity condition, the new method can estimate the entire central subspace consistently and exhaustively The method also provides an alternative approach or the analysis of censored data assuming neither the link function nor th...
