Journal of the Royal Statistical Society: Series B

最新文章

• Predicting multivariate responses in multiple linear regression - Discussion AI翻译
  作者：Garthwaite, PH; Brown, PJ; Hand, DJ; Wold, S; Cox, DR; Zidek, JV; terBraak, CJF; Stone, M; Brooks, R; Goutis, C; Lindley, DV; Burnham, AJ; MacGregor, JF; Viveros, R; Hastie, T; Tibshirani, R; Helland, IS; Jones, MC; Sasieni, PD; Southworth, R; Taylor, CC; Sundberg, R; Thomas, EV; Tong, H
  作者单位：University of Kent; Umea University; University of Oxford; University of London; University College London; Universidad Carlos III de Madrid; McMaster University; Stanford University; University of Toronto; University of Oslo; Open University - UK; Hebrew University of Jerusalem; Cancer Research UK; University of Leeds; Stockholm University; United States Department of Energy (DOE); Sandia National Laboratories
• The EM algorithm - An old folk-song sung to a fast new tune - Discussion AI翻译
  作者：Rubin, DB; Titterington, DM; Gilks, WR; Diebolt, J; Aitkin, M; Smith, CAB; Hinde, J; Kent, JT; Tyler, DE; Damien, P; Walker, S; Chauveau, D; Draper, D; Dupuis, JA; Fessler, J; Gelman, A; Green, PJ; Hero, AO; Lavielle, M; Liu, CH; Liu, JS; Roberts, GO; Sahu, SK; Torsney, B; Zaslavsky, AM
  作者单位：University of Glasgow; MRC Biostatistics Unit; Communaute Universite Grenoble Alpes; Universite Grenoble Alpes (UGA); Newcastle University - UK; University of London; University College London; University of Exeter; University of Leeds; Rutgers University System; Rutgers University New Brunswick; University of Michigan System; University of Michigan; Imperial College London; Universite Gustave-Eiffel; University of Bath; Universite de Toulouse; Universite Toulouse III - Paul Sabatier; Columbia University; University of Bristol; Universite Paris Cite; Nokia Corporation; Nokia Bell Labs; AT&T; Stanford University; University of Cambridge; Harvard University; Harvard Medical School
• Weighted mean survival test statistics: A class of distance tests for censored survival data AI翻译
  作者：Shen, Y; Fleming, TR
  作者单位：University of Washington; University of Washington Seattle
  摘要：A class of test statistics is introduced which is sensitive against the alternative of stochastic ordering in the two-sample censored data problem. The test statistics for evaluating a cumulative weighted difference in survival distributions are developed while taking into account the imbalances in base-line covariates between two groups. This procedure can be used to test the null hypothesis of no treatment effect, especially when base-line hazards cross and prognostic covariates need to be a...
• A note on local influence based on normal curvature AI翻译
  作者：Fung, WK; Kwan, CW
  作者单位：University of Hong Kong
  摘要：Object functions other than the likelihood displacement, such as a parameter estimate or a test statistic, can also be used in local influence analysis. The normal curvatures of these object functions have been studied in situations where the slopes were non-zero. In these situations, we show that the normal curvature is not scale invariant and thus ambiguous conclusions will be drawn. Comments on the application of the general normal curvature formula are presented.
• Sequential iterated bootstrap confidence intervals AI翻译
  作者：Lee, SMS; Young, GA
  作者单位：University of Cambridge; University of Hong Kong
  摘要：A version of the sequential probability ratio test for testing simultaneously a set of nested hypotheses is developed. This procedure is then applied to define a sequential procedure of sampling at the inner level of the two nested levels of resampling required by Monte Carlo construction of an iterated bootstrap percentile method confidence interval. The sequential resampling scheme reduces very significantly the computational demands of construction of the iterated bootstrap confidence inter...
• Regression with doubly censored current status data AI翻译
  作者：Rabinowitz, D; Jewell, NP
  作者单位：University of California System; University of California Berkeley
  摘要：Data from settings in which an initiating event and a subsequent event occur in sequence are called doubly censored current status data if the time of neither event is observed directly, but instead it is determined at a random monitoring time whether either the initiating or subsequent event has yet occurred. This paper is concerned with using doubly censored current status data to estimate the regression coefficient in an accelerated failure time model for the length of time between the init...
• On pseudodata methods for removing boundary effects in kernel density estimation AI翻译
  作者：Cowling, A; Hall, P
  作者单位：Australian National University
  摘要：We suggest a method for boundary correcting kernel density estimators, based on generating pseudodata beyond the extremities of the density's support. The estimator produced in this way enjoys optimal orders of bias and variance right up to the ends of the support, and it may be used with kernels of arbitrary order. Our method is considerably more adaptive than the common data reflection approach, which is not really appropriate for kernels of order 2 or more since it does not adequately corre...
• Regression shrinkage and selection via the Lasso AI翻译
  作者：Tibshirani, R
  摘要：We propose a new method for estimation in linear models. The 'lasso' minimizes the residual sum of squares subject to the sum of the absolute value of the coefficients being less than a constant. Because of the nature of this constraint it tends to produce some coefficients that are exactly 0 and hence gives interpretable models. Our simulation studies suggest that the lasso enjoys some of the favourable properties of both subset selection and ridge regression. It produces interpretable models...
• The usefulness of optimum experimental designs AI翻译
  作者：Atkinson, AC
  摘要：Optimum experimental designs were originally developed by Kiefer, mainly for response surface models. This survey of recent developments emphasizes potential or actual usefulness. For linear models the construction of exact designs, particularly over irregular design regions, is stressed, as is the blocking of response surface designs. Other important areas include systematic designs that are robust against trend and designs for mixtures with irregular design regions: several industrial exampl...
• Discriminant analysis by Gaussian mixtures AI翻译
  作者：Hastie, T; Tibshirani, R
  作者单位：University of Toronto
  摘要：Fisher-Rao linear discriminant analysis (LDA) is a valuable tool for multigroup classification. LDA is equivalent to maximum likelihood classification assuming Gaussian distributions for each class. In this paper, we fit Gaussian mixtures to each class to facilitate effective classification in non-normal settings, especially when the classes are clustered. Low dimensional views are an important by-product of LDA - our new techniques inherit this feature. We can control the within-class spread ...