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  1. Analysis of Integrated and Cointegrated Time Series with R

  2. Analysis of Integrated and Cointegrated Time Series with R

  3. 所属分类：其它

    • 发布日期：2010-12-19
    • 文件大小：1048576
    • 提供者：liuyonghua1042

  1. Soren Johanse_Likelihood-Based Inference in Cointegrated Vector ARM

  2. Soren Johanse Likelihood-Based Inference in Cointegrated Vector Autoregressive Models

  3. 所属分类：其它

    • 发布日期：2012-04-06
    • 文件大小：4194304
    • 提供者：cauchym

  1. Analysis of Integrated and Cointegrated Time Series with R

  2. 用纯粹R语言做协整的书，感觉不错。 Part I Theoretical Concepts 1 Univariate Analysis of Stationary Time Series............. 3 1.1 CharacteristicsofTime Series............................. 3 1.2 AR(p ) Time SeriesProcess ............................... 6 1.3 MA(q ) T

  3. 所属分类：金融

    • 发布日期：2013-05-04
    • 文件大小：1048576
    • 提供者：mathutopia

  1. Analysis of Integrated and Cointegrated Time Series with R 原版PDF by Pfaff

  2. This book’s title is the synthesis of two influential and outstanding entities. To quote David Hendry in the Nobel Memorial Prize lecture for Clive W. J. Granger,“[the] modeling of non-stationary macroeconomic time series [. . . ] has now become the

  3. 所属分类：其它

    • 发布日期：2018-05-05
    • 文件大小：2097152
    • 提供者：nn123456789

  1. Matrix factorization for multivariate time series analysis

  2. Matrix factorization is a powerful data analysis tool. It has been used in multivariate time series analysis, leading to the decomposition of the series in a small set of latent factors. However, little is known on the statistical performances of mat

  3. 所属分类：机器学习

    • 发布日期：2019-03-16
    • 文件大小：294912
    • 提供者：lex_glimmer