2020年担任第八届国务院学科评议组(统计学)成员,2022年担任全国应用统计专业硕士教指委委员,2023年担任全国工业统计学教学研究会副会长以及中国数学会概率统计分会常务理事,2022年起兼统计学国际权威期刊Annals of Applied Statistics和Statistica Sinica副主编(Associate Editor)以及国内统计学权威期刊《统计研究》编委。
t1.5有偏理论的bernoulli，偏应用的tech，偏计量的joe，还有被大佬们当做aos备胎的jmlr aoas大概就在t2。
The Annals of Applied Statistics《应用统计年鉴》 (官网投稿) 简介 期刊简称ANN APPL STAT 参考译名《应用统计年鉴》 核心类别 高质量科技期刊(T1), 高质量科技期刊(T2), SCIE(2024版), 知网外文库,外文期刊, IF影响因子 自引率 主要研究方向数学-STATISTICS & PROBABILITY统计学与概率论 The Annals of ...
主要研究领域:临床试验中的生物统计问题,癌症基因组学分析。近年来以第一/通讯作者在NEJM, Annals of Oncology, Clin Cancer Res (discussion paper), Genome Biology, AJRCCM, Journal of Statistical Software, The Annals of Applied Statistics, SMMR, JRSSC, Bioinformatics等学术期刊发表论文120多篇。入选江苏省...
The Annals of Applied Statistics《应用统计年鉴》 (官网投稿) 简介 期刊简称ANN APPL STAT 参考译名《应用统计年鉴》 核心类别 高质量科技期刊(T1), 高质量科技期刊(T2), SCIE(2024版), 知网外文库,外文期刊, IF影响因子 自引率 主要研究方向数学-STATISTICS & PROBABILITY统计学与概率论 The Annals of ...
InstituteofMathematicalStatisticsinTheAnnalsofAppliedStatistics, 2014,Vol.8,No.2,1065–1094.Thisreprintdiffersfromtheoriginalinpagination andtypographic detail. 1 2 O’SULLIVAN ET AL. 1. Introduction. Dynamic PET studies provide the opportunity to im- age functional metabolic parameters of tissue in...
机译:通过统计数据影响选举:使用逻辑回归树定位选民 作者:Rusch T.;Lee I.;Hornik K.;Jank W.;Zeileis A. 期刊名称:《The Annals of applied statistics》 | 2013年第3期 关键词: Campaigning; Classification tree; Get-out-the-vote; Microtargeting; Model tree; Political marketing; Voter identification...
The annals of applied statistics. 来自 JSTOR 喜欢 0 阅读量: 158 作者: Institute of Mathematical Statistics 摘要: Two different approaches to analysis of data from diagnostic biomarker studies are commonly employed. Logistic regression is used to fit models for probability of disease given marker ...
ANNALS OF APPLIED PROBABILITY数学统计学与概率论1.703N/A1050-5164 ANNALS OF PROBABILITY数学统计学与概率论2.085N/A0091-1798 ANNALS OF STATISTICS数学统计学与概率论2.9011区0090-5364 ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS数学统计学与概率论0.772N/A0020-3157 ...
One benefit of quantitative encoding models is that estimated models can be used to decode brain activity, in order to identify which specific image was seen by an observer. Encoding models estimated by our approach also improve such image identification by about 12 % when the correct image is ...