Plug-in Statistical Forecasting of Vector Autoregressive Time Series with Missing Values

被引:0
|
作者
Kharin, Yuriy [1 ]
Huryn, Aliaksandr [1 ]
机构
[1] Belarusian State Univ, Minsk, BELARUS
关键词
Forecasting; Vector Autoregression; Missing Values; Estimators of Parameters;
D O I
暂无
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
The problems of statistical forecasting of vector autoregressive time series with missing values are considered. The maximum likelihood forecast is constructed and its mean square risk is evaluated for the case of known parameters. The "plug-in" forecast and statistical estimators are constructed for unknown parameters. Asymptotic properties of constructed estimators are analyzed. Results of numerical experiments are presented.
引用
收藏
页码:163 / 174
页数:12
相关论文
共 50 条
  • [1] Time Series Forecasting with Missing Values
    Wu, Shin-Fu
    Chang, Chia-Yung
    Lee, Shie-Jue
    2015 1ST INTERNATIONAL CONFERENCE ON INDUSTRIAL NETWORKS AND INTELLIGENT SYSTEMS (INISCOM), 2015, : 151 - 156
  • [2] Forecasting time series using Vector Autoregressive Model
    Abdullah, Lemya Taha
    INTERNATIONAL JOURNAL OF NONLINEAR ANALYSIS AND APPLICATIONS, 2022, 13 (01): : 499 - 511
  • [3] Forecasting the levels of vector autoregressive log-transformed time series
    Ariño, MA
    Franses, PH
    INTERNATIONAL JOURNAL OF FORECASTING, 2000, 16 (01) : 111 - 116
  • [4] Vector SHAP Values for Machine Learning Time Series Forecasting
    Choi, Ji Eun
    Shin, Ji Won
    Shin, Dong Wan
    JOURNAL OF FORECASTING, 2025, 44 (02) : 635 - 645
  • [5] Forecasting prices of coffee seeds using Vector Autoregressive Time Series Model
    Yashavanth, B. S.
    Singh, K. N.
    Paul, Amrit Kumar
    Paul, Ranjit Kumar
    INDIAN JOURNAL OF AGRICULTURAL SCIENCES, 2017, 87 (06): : 754 - 758
  • [6] Estimation of missing values in possibly partially nonstationary vector time series
    Luceno, A
    BIOMETRIKA, 1997, 84 (02) : 495 - 499
  • [7] A local vector autoregressive framework and its applications to multivariate time series monitoring and forecasting
    Chen, Ying
    Li, Bo
    Niu, Linlin
    STATISTICS AND ITS INTERFACE, 2013, 6 (04) : 499 - 509
  • [8] On using artificial neural networks and vector autoregressive method in multiple time series forecasting
    Nguyen, DD
    Kira, DS
    DECISION SCIENCES INSTITUTE, 1997 ANNUAL MEETING, PROCEEDINGS, VOLS 1-3, 1997, : 1035 - 1038
  • [9] Optimal forecasting of noncausal autoregressive time series
    Lanne, Markku
    Luoto, Jani
    Saikkonen, Pentti
    INTERNATIONAL JOURNAL OF FORECASTING, 2012, 28 (03) : 623 - 631
  • [10] iVAR: A program for imputing missing data in multivariate time series using vector autoregressive models
    Siwei Liu
    Peter C. M. Molenaar
    Behavior Research Methods, 2014, 46 : 1138 - 1148