Bayesian theory of probabilistic forecasting via deterministic hydrologie model

被引:0
|
作者
Krzysztofowicz, Roman [1 ]
机构
[1] Department of Systems Engineering, Division of Statistics, University of Virginia, Thornton Hall, SE, Charlottesville,VA,22903, United States
来源
Water Resources Research | 1999年 / 35卷 / 09期
关键词
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:2739 / 2750
相关论文
共 50 条
  • [21] Hydrologic uncertainty for Bayesian probabilistic forecasting model based on BP ANN
    Cheng, Chun-tian
    Chau, Kwok-wing
    Li, Xiang-yang
    ICNC 2007: THIRD INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 1, PROCEEDINGS, 2007, : 197 - 201
  • [22] Probabilistic Wind Vector Forecasting Using Ensembles and Bayesian Model Averaging
    Sloughter, J. McLean
    Gneiting, Tilmann
    Raftery, Adrian E.
    MONTHLY WEATHER REVIEW, 2013, 141 (06) : 2107 - 2119
  • [23] Novel model calibration method via non-probabilistic interval characterization and Bayesian theory
    Wang, Chong
    Matthies, Hermann G.
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2019, 183 : 84 - 92
  • [24] A Hybrid Intelligent Model for Deterministic and Quantile Regression Approach for Probabilistic Wind Power Forecasting
    Ul Haque, Ashraf
    Nehrir, M. Hashem
    Mandal, Paras
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2014, 29 (04) : 1663 - 1672
  • [25] An overview of deterministic and probabilistic forecasting methods of wind energy
    Xie, Yuying
    Li, Chaoshun
    Li, Mengying
    Liu, Fangjie
    Taukenova, Meruyert
    ISCIENCE, 2023, 26 (01)
  • [26] Joint probabilistic forecasting of wind speed and temperature using Bayesian model averaging
    Baran, S.
    Moeller, A.
    ENVIRONMETRICS, 2015, 26 (02) : 120 - 132
  • [27] Probabilistic Precipitation Forecasting over East Asia Using Bayesian Model Averaging
    Ji, Luying
    Zhi, Xiefei
    Zhu, Shoupeng
    Fraedrich, Klaus
    WEATHER AND FORECASTING, 2019, 34 (02) : 377 - 392
  • [28] The Comparison of Bayesian Model Averaging with Gaussian and Gamma Components for Probabilistic Precipitation Forecasting
    Faidah, Defi Yusti
    Kuswanto, Hen
    Suhartono
    PROCEEDINGS OF THE 8TH SEAMS-UGM INTERNATIONAL CONFERENCE ON MATHEMATICS AND ITS APPLICATIONS 2019: DEEPENING MATHEMATICAL CONCEPTS FOR WIDER APPLICATION THROUGH MULTIDISCIPLINARY RESEARCH AND INDUSTRIES COLLABORATIONS, 2019, 2192
  • [29] Probabilistic Wind Power Forecasting via Bayesian Deep Learning Based Prediction Intervals
    Wen, Honglin
    Gu, Jie
    Ma, Jinghuan
    Jin, Zhijian
    2019 IEEE 17TH INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN), 2019, : 1091 - 1096
  • [30] PROBABILISTIC MODEL OF FORECASTING
    GALANC, T
    MIKUS, J
    TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 1978, 12 (2-3) : 187 - 191