Journal of the Royal Statistical Society: Series B

最新文章

• Experimental design and observation for large systems - Discussion AI翻译
  作者：Jones, B; Sebastiani, P; Lewis, SM; Giovagnoli, A; Torsney, B; Gilmour, SG; Abraham, I; Firth, D; Atkinson, AC; Chan, PLY; Muller, WG; Bogacka, B; Box, G; Donev, AN; Fang, KT; Hickernell, FJ; Govaerts, B; Haines, LM; Schwabe, R; Settimi, R; Titterington, DM; Atkinson, AC; Bates, RA; Buck, RJ; Riccomagno, E; Wynn, HP
  作者单位：City St Georges, University of London; University of Southampton; University of Udine; University of Pavia; University of Glasgow; University of Reading; University of Oxford; University of London; London School Economics & Political Science; University of Hong Kong; Poznan University of Life Sciences; University of Wisconsin System; University of Wisconsin Madison; Hong Kong Baptist University; Solvay SA; Universite Catholique Louvain; University of Kwazulu Natal; Free University of Berlin; University of Perugia
• Vector generalized additive models AI翻译
  作者：Yee, TW; Wild, CJ
  摘要：Vector smoothing is used to extend the class of generalized additive models in a very natural way to include a class of multivariate regression models. The resulting models are called 'vector generalized additive models'. The class of models for which the methodology gives generalized additive extensions includes the multiple logistic regression model for nominal responses, the continuation ratio model and the proportional and nonproportional odds models for ordinal responses, and the bivariat...
• Reducing the use of laboratory animals in toxicological research and testing by better experimental design AI翻译
  作者：Festing, MFW; Lovell, DP
  摘要：More than 50 million animals are used in biomedical research in the world each year. It is highly desirable that this number is reduced both for ethical and for economic reasons. Better experimental design could lead to the use of fewer animals and improve the repeatability of animal experiments so that alternative methods would be easier to validate. Screening experiments aimed at identifying rodent carcinogens would be more powerful if more than one strain of mice and/or rats were used. Atte...
• On the choice of smoothing parameter, threshold and truncation in nonparametric regression by non-linear wavelet methods AI翻译
  作者：Hall, P; Patil, P
  作者单位：Australian National University; Commonwealth Scientific & Industrial Research Organisation (CSIRO)
  摘要：Concise asymptotic theory is developed for non-linear wavelet estimators of regression means, in the context of general error distributions, general designs, general normalizations in the case of stochastic design, and non-structural assumptions about the mean. The influence of the tail weight of the error distribution is addressed in the setting of choosing threshold and truncation parameters. Mainly, the tail weight is described in an extremely simple way, by a moment condition; previous wor...
• Hierarchical generalized linear models - Discussion AI翻译
  作者：Engel, B; Keen, A; Clayton, D; Londford, NT; Kuba, J; Firth, D; Draper, D; Atkinson, AC; Raab, GM; Parpia, T; Choy, STB; Smith, AFM; Dale, JR; Shephard, N; Ball, RD; Breslow, NE; Ekholm, A; Gelman, A; Langford, IH; Morris, CN; Preece, DA; Seu, PK; Smith, RL; Thompson, R; Walker, SG; Mallick, BK; Lee, Y; Nelder, JA
  作者单位：MRC Biostatistics Unit; De Montfort University; University of Oxford; University of Bath; University of London; London School Economics & Political Science; Edinburgh Napier University; Imperial College London; University of Waikato; New Zealand Institute for Plant & Food Research Ltd; AgResearch - New Zealand; University of Washington; University of Washington Seattle; University of Helsinki; University of California System; University of California Berkeley; University of East Anglia; Harvard University; University of Kent; University of North Carolina; University of North Carolina Chapel Hill; University of Cambridge; UK Research & Innovation (UKRI); Biotechnology and Biological Sciences Research Council (BBSRC); Rothamsted Research
• DATA-DRIVEN BANDWIDTH SELECTION IN LOCAL POLYNOMIAL FITTING - VARIABLE BANDWIDTH AND SPATIAL ADAPTATION AI翻译
  作者：FAN, JQ; GIJBELS, I
  作者单位：Universite Catholique Louvain; University of North Carolina; University of North Carolina Chapel Hill
  摘要：When estimating a mean regression function and its derivatives, locally weighted least squares regression has proven to be a very attractive technique. The present paper focuses on the important issue of how to select the smoothing parameter or bandwidth. In the case of estimating curves with a complicated structure, a variable bandwidth is desirable. Furthermore, the bandwidth should be indicated by the data themselves. Recent developments in nonparametric smoothing techniques inspired us to ...
• WAVELET SHRINKAGE - ASYMPTOPIA - DISCUSSION AI翻译
  作者：SPECKMAN, PL; MARRON, JS; SILVERMAN, B; NASON, G; WANG, KM; SEIFERT, B; GASSER, T; EFROMOVITCH, S; NUSSBAUM, M; WANG, YZ; VONSACHS, R; BRILLINGER, DR; NEUMANN, MH; HASTIE, T; FAN, JQ; ANTONIADIS, A; BIRGE, L; CRELLIN, NJ; MARTIN, MA; DOUKHAN, P; ENGEL, J; GEORGIEV, AA; LIU, H; GOOD, IJ; HALL, P; PATIL, P; HERRMANN, E; KOLACZYK, ED; LEPSKII, OV; MAMMEN, E; SPOKOINY, VG; LUCIER, B; MCCULLAGH, P; MOULIN, P; MULLER, HG; OLSHEN, RA; TSYBAKOV, AB; WAHBA, G; WALTER, GG; TIBSHIRANI, R
  作者单位：University of North Carolina; University of North Carolina Chapel Hill; University of Bristol; University of Zurich; University of New Mexico; Leibniz Association; Weierstrass Institute for Applied Analysis & Stochastics; University of Kaiserslautern; University of California System; University of California Berkeley; Leibniz Association; Weierstrass Institute for Applied Analysis & Stochastics; AT&T; Nokia Corporation; Nokia Bell Labs; University of Toronto; Communaute Universite Grenoble Alpes; Universite Grenoble Alpes (UGA); Sorbonne Universite; Stanford University; Australian National University; CY Cergy Paris Universite; University of Bonn; Albemarle Corporation; Louisiana State University System; Louisiana State University; University of Pennsylvania; Virginia Polytechnic Institute & State University; Technical University of Darmstadt; University of Chicago; Federal Research Center Computer Science & Control of RAS; Institute Systems Analysis of Russian Academy of Sciences; Humboldt University of Berlin; Kharkevich Institute for Information Transmission Problems of the RAS; Leibniz Association; Weierstrass Institute for Applied Analysis & Stochastics; Purdue University System; Purdue University; Telcordia Technologies; University of California System; University of California Davis; Stanford University; University of Wisconsin System; University of Wisconsin Madison; University of Wisconsin System; University of Wisconsin Milwaukee
• LOCAL LIKELIHOOD-BASED ON KERNEL CENSORING AI翻译
  作者：COPAS, JB
  摘要：By drawing an analogy with likelihood for censored data, a local likelihood function is proposed which gives more weight to observations near a region of interest in the sample space. Resulting methods can be used for assessing local departures from a parametric model, and for semiparametric density estimation. Some theory, and three examples, is given.
• NONREGULAR MAXIMUM-LIKELIHOOD PROBLEMS AI翻译
  作者：CHENG, RCH; TRAYLOR, L
  摘要：Four non-regular estimation problems are reviewed and discussed. One (the unbounded likelihood problem) involves distributions with infinite spikes, for which maximum likelihood can fail to give consistent estimators. A comparison is made with modified likelihood and spacings methods which do give efficient estimators in this case. An application to the Box-Cox shifted power transform is given. The other three problems occur when the true parameter lies in some special subregion. In one (the c...
• CONTROLLING THE FALSE DISCOVERY RATE - A PRACTICAL AND POWERFUL APPROACH TO MULTIPLE TESTING AI翻译
  作者：BENJAMINI, Y; HOCHBERG, Y
  摘要：The common approach to the multiplicity problem calls for controlling the familywise error rate (FWER). This approach, though, has faults, and we point out a few. A different approach to problems of multiple significance testing is presented. It calls for controlling the expected proportion of falsely rejected hypotheses - the false discovery rate. This error rate is equivalent to the FWER when all hypotheses are true but is smaller otherwise. Therefore, in problems where the control of the fa...