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
  • [41] PROBABILISTIC SUPPORT, PROBABILISTIC INDUCTION AND BAYESIAN CONFIRMATION THEORY
    RIVADULLA, A
    BRITISH JOURNAL FOR THE PHILOSOPHY OF SCIENCE, 1994, 45 (02): : 477 - 483
  • [42] Bayesian probabilistic flood forecasting model based on adaptive metropolis-MCMC algorithm
    Xing, Zhen-Xiang
    Rui, Xiao-Fang
    Cui, Hai-Yan
    Yu, Mei
    Shuili Xuebao/Journal of Hydraulic Engineering, 2007, 38 (12): : 1500 - 1506
  • [43] Assessing Entropy-Based Bayesian Model Averaging Method for Probabilistic Precipitation Forecasting
    Darbandsari, Pedram
    Coulibaly, Paulin
    JOURNAL OF HYDROMETEOROLOGY, 2022, 23 (03) : 421 - 440
  • [44] Probabilistic wind speed forecasting via Bayesian DLMs and its application in green hydrogen production
    Leal, Jairon Isaias
    Pitombeira-Neto, Anselmo Ramalho
    Bueno, Andre Valente
    Rocha, Paulo Alexandre Costa
    de Andrade, Carla Freitas
    APPLIED ENERGY, 2025, 382
  • [46] Locally Calibrated Probabilistic Temperature Forecasting Using Geostatistical Model Averaging and Local Bayesian Model Averaging
    Kleiber, William
    Raftery, Adrian E.
    Baars, Jeffrey
    Gneiting, Tilmann
    Mass, Clifford F.
    Grimit, Eric
    MONTHLY WEATHER REVIEW, 2011, 139 (08) : 2630 - 2649
  • [47] Bayesian hierarchical probabilistic forecasting of intraday electricity prices
    Nickelsen, Daniel
    Mueller, Gernot
    APPLIED ENERGY, 2025, 380
  • [48] A probabilistic framework for Bayesian adaptive forecasting of project progress
    Gardoni, Paolo
    Reinschmidt, Kenneth F.
    Kumar, Ramesh
    COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2007, 22 (03) : 182 - 196
  • [49] Comparative study of Bayesian probabilistic flood forecasting models
    Liu, Zhang-Jun
    Guo, Sheng-Lian
    Li, Tian-Yuan
    Hong, Xing-Jun
    Shuili Xuebao/Journal of Hydraulic Engineering, 2014, 45 (09): : 1019 - 1028
  • [50] A data-driven multi-model ensemble for deterministic and probabilistic precipitation forecasting at seasonal scale
    Xu, Lei
    Chen, Nengcheng
    Zhang, Xiang
    Chen, Zeqiang
    CLIMATE DYNAMICS, 2020, 54 (7-8) : 3355 - 3374