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作者：Santos, RL
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作者：Waternaux, C; Petkova, E; DuMouchel, W
作者单位：New York State Psychiatry Institute; Columbia University; AT&T
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作者：Hansen, M; Kooperberg, C; Sardy, S
作者单位：AT&T; Nokia Corporation; Nokia Bell Labs; Fred Hutchinson Cancer Center; University of Washington; University of Washington Seattle
摘要：In this article we introduce the Triogram method for function estimation using piecewise linear, bivariate splines based on an adaptively constructed triangulation. We illustrate the technique for bivariate regression and log-density estimation and indicate how our approach can be applied directly to model bivariate functions in the broader context of an extended linear model. The entire estimation procedure is invariant under affine transformations and is a natural approach for modeling data ...
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作者：Agresti, A
作者单位：State University System of Florida; University of Florida
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作者：Rotnitzky, A; Robins, JM; Scharfstein, DO
作者单位：Harvard University; Harvard T.H. Chan School of Public Health; Johns Hopkins University
摘要：We consider inference about the parameter beta* indexing the conditional mean of a vector of correlated outcomes given a vector of explanatory variables when some of the outcomes are missing in a subsample of the study and the probability of response depends on both observed and unobserved data values; that is, nonresponse is nonignorable. We propose a class of augmented inverse probability of response weighted estimators that are consistent and asymptotically normal (CAN) for estimating beta*...
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作者：Kadane, JB
作者单位：Carnegie Mellon University
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作者：Yu, KM; Jones, MC
作者单位：Open University - UK
摘要：In this article we study nonparametric regression quantile estimation by kernel weighted local linear fitting. Two such estimators are considered. One is based on localizing the characterization of a regression quantile as the minimizer of E{rho(p)(Y-a)\X = x}, where rho(p) is the appropriate check function. The other follows by inverting a local linear conditional distribution estimator and involves two smoothing parameters, rather than one. Our aim is to present fully operational versions of...
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作者：Cohen, J; Nagin, D; Wallstrom, G; Wasserman, L
作者单位：Carnegie Mellon University; Carnegie Mellon University; University of Minnesota System; University of Minnesota Twin Cities
摘要：A Bayesian hierarchical model provides the basis for calibrating the crimes avoided by incarceration of individuals convicted of drug offenses compared to those convicted of nondrug offenses. Two methods for constructing reference priors for hierarchical models both lead to the same prior in the final model. We use Markov chain Monte Carlo methods to fit the model to data from a random sample of past arrest records of all felons convicted of drug trafficking, drug possession, robbery, or burgl...
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作者：Haas, PJ; Stokes, L
作者单位：International Business Machines (IBM); IBM USA; University of Texas System; University of Texas Austin
摘要：We use an extension of the generalized jackknife approach of Gray and Schucany to obtain new nonparametric estimators for the number of classes in a finite population of known size. We also show that generalized jackknife estimators are closely related to certain Horvitz-Thompson estimators, to an estimator of Shlosser, and to estimators based on sample coverage. In particular, the generalized jackknife approach leads to a modification of Shlosser's estimator that does not suffer from the erra...
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作者：Wang, YD; Wahba, G
作者单位：University of California System; University of California Santa Barbara; University of Wisconsin System; University of Wisconsin Madison
