4期

最新文章

• Some design properties of a rejective sampling procedure AI翻译
  作者：Fuller, Wayne A.
  作者单位：Iowa State University
  摘要：Occasionally, a selected probability sample may appear undesirable with respect to the available auxiliary information. In such a situation, the practitioner might consider rejecting the sample and selecting a new set of sample elements. We consider a procedure in which the probability sample is rejected unless the sample mean of an auxiliary vector is within a specified distance of the population mean. It is proven that the large sample mean and variance of the regression estimator for the re...
• A note on a conjectured sharpness principle for probabilistic forecasting with calibration AI翻译
  作者：Pal, Soumik
  作者单位：University of Washington; University of Washington Seattle
  摘要：This note proves a weak sharpness principle as conjectured by Gneiting et al. (2007) in connection with probabilistic forecasting subject to calibration constraints.
• Semiparametric methods for evaluating risk prediction markers in case-control studies AI翻译
  作者：Huang, Ying; Pepe, Margaret Sullivan
  作者单位：Fred Hutchinson Cancer Center
  摘要：The performance of a well-calibrated risk model for a binary disease outcome can be characterized by the population distribution of risk and displayed with the predictiveness curve. Better performance is characterized by a wider distribution of risk, since this corresponds to better risk stratification in the sense that more subjects are identified at low and high risk for the disease outcome. Although methods have been developed to estimate predictiveness curves from cohort studies, most stud...
• Adaptive approximate Bayesian computation AI翻译
  作者：Beaumont, Mark A.; Cornuet, Jean-Marie; Marin, Jean-Michel; Robert, Christian P.
  作者单位：University of Reading; Imperial College London; Universite de Montpellier; Universite PSL; Universite Paris-Dauphine
  摘要：Sequential techniques can enhance the efficiency of the approximate Bayesian computation algorithm, as in Sisson et al.'s (2007) partial rejection control version. While this method is based upon the theoretical works of Del Moral et al. (2006), the application to approximate Bayesian computation results in a bias in the approximation to the posterior. An alternative version based on genuine importance sampling arguments bypasses this difficulty, in connection with the population Monte Carlo m...
• Nonparametric estimation of the probability of illness in the illness-death model under cross-sectional sampling AI翻译
  作者：Mandel, M.; Fluss, R.
  作者单位：Hebrew University of Jerusalem; Ministry of Health - Israel
  摘要：Cross-sectional sampling is an attractive design that saves resources but results in biased data. For proper inference, one should first discover the bias function and then weigh observations appropriately. We consider cross-sectioning of the illness-death model with the aim of estimating the probability of visiting the illness state before death. We develop simple consistent and asymptotically normal estimators under various assumptions on the model and data collection and, in particular, com...
• A note on automatic variable selection using smooth-threshold estimating equations AI翻译
  作者：Ueki, Masao
  作者单位：Yamagata University
  摘要：This paper develops smooth-threshold estimating equations that can automatically eliminate irrelevant parameters by setting them as zero. The resulting estimator enjoys the oracle property in the sense of Fan & Li (2001), even in estimators for which the covariance assumption of Wang & Leng (2007) is violated, such as the Buckley-James estimator. Furthermore, the estimator can be obtained without solving a convex optimization problem. A bic-type criterion for tuning parameter selection is also...