5000 论坛币: Multivariate Time Series Analysis and Applications

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Multivariate Time Series Analysis and Applications [color=rgb(153, 153, 153) !important][分享]

[url=]加关注[/url] 串个门 加好友 发消息 0关注 423 粉丝 版主 巨擘 0% 还不是VIP/贵宾 - TA的文库  其他... Python Programming SAS Programming Must-Read Books 威望16 级论坛币12307155 个通用积分423.1964学术水平3105 点热心指数3100 点信用等级2888 点经验456235 点帖子21416精华92在线时间8134 小时注册时间2005-4-23最后登录2020-1-13

楼主 Nicolle   发表于 2020-1-13 03:55:12 |只看作者 |倒序 数据科学、人工智能从业者的在线大学-AIU人工智能学院,助力您成为数据科学领域中最抢手的人才！ [url=]上百名留学生被武大清退，在亚洲最大 ...[/url] [url=]2020年用“R”学好机器学习[/url] English | ISBN: 1119502853 | 2019 | 680 Pages | PDF | 16 MB An essential guide on high dimensional multivariate time series including all the latest topics from one of the leading experts in the field Following the highly successful and much lauded book, Time Series Analysis-Univariate and Multivariate Methods, this new work by William W.S. Wei focuses on high dimensional multivariate time series, and is illustrated with numerous high dimensional empirical time series. Beginning with the fundamentalconcepts and issues of multivariate time series analysis, this book covers many topics that are not found in general multivariate time series books. Some of these are repeated measurements, space-time series modelling, and dimension reduction. The book also looks at vector time series models, multivariate time series regression models, and principle component analysis of multivariate time series. Additionally, it provides readers with information on factor analysis of multivariate time series, multivariate GARCH models, and multivariate spectral analysis of time series. With the development of computers and the internet, we have increased potential for data exploration. In the next few years, dimension will become a more serious problem. Multivariate Time Series Analysis and its Applications provides some initial solutions, which may encourage the development of related software needed for the high dimensional multivariate time series analysis. Written by bestselling author and leading expert in the field Covers topics not yet explored in current multivariate books Features classroom tested material Written specifically for time series courses Multivariate Time Series Analysis and its Applications is designed for an advanced time series analysis course. It is a must-have for anyone studying time series analysis and is also relevant for students in economics, biostatistics, and engineering.

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