Larry Wasserman is Professor of Statistics at Carnegie Mellon University. He is also a member of the Center for Automated Learning and Discovery in the School of Computer Science. His research areas include nonparametric inference, asymptotic theory, causality, and applications to astrophysics, bioinform...
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All_of_Statistics_A_Concise_Course_in_Statistical_Inference_Larry_Wasserman 课程资源 - 专业指导Li**or 上传5.83MB 文件格式 pdf 国外概率与数理统计的经典教材,Larry Wasserman主编。点赞(0) 踩踩(0) 反馈 所需:1 积分 电信网络下载 python 2025-02-16 18:18:37 积分:1 CTF-OS 2025-02-16 18:...
统计学全书wasserman,allofstatistics:a concisecourseinstatisticalinference LarryWasserman AllofNonparametric Statistics With52Illustrations Preface Takenliterally,thetitle“AllofStatistics”isan exaggeration.Butinspirit, thetitleisapt,asthebookdoescoveramuchbroaderrangeoftopics ...
All of Statistics Solutions toWasserman's 'All Of Statistics', using the 2005 corrected second printing, ISBN 0-387-40272-1. Organisation Please follow these guidelines: Solutions go insolutionsas markdown or notebook (ipynb). They should be labelledchXXqYYwhereXXis the (0 padded) chapter numb...
All of Statistics 作者: Larry Wasserman 出版社: Springer副标题: A Concise Course in Statistical Inference出版年: 2010-12页数: 462定价: USD 99.00装帧: Paperback丛书: Springer Texts in StatisticsISBN: 9781441923226豆瓣评分 9.4 35人评价 5星 77.1% 4星 20.0% 3星 0.0% 2星 0.0% 1星 2.9% ...
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Wasserman, L.: All of Statistics: A Concise Course in Statistical Inference. Springer Texts in Statistics. Springer, New York (2004) MATHL. Wasserman, All of Statistics: A Concise Course in Statistical Inference , Springer-Verlag, New York, 2004 ....
作者:Larry Wasserman(L. 沃塞曼 / 拉里· 沃瑟曼)著 出版社:Springer 出版时间:2010-00-00 印刷时间:0000-00-00 ISBN:9781441923226 ,购买All of Statistics: A Concise Course in Statistical Inference 统计学完全教程 1441923225等理科工程技术相关商品,欢迎您
All of Statistics: A Concise Course in Statistical Inference by Larry Wasserman Machine Learning by Tom Mitchell Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications by Chip Huyen How would you define GAN(Generative Adversarial Networks) ? What are Gausian Processes...