Stochastic Precipitation Generation for the Xilingol League Using Hidden Markov Models with Variational Bayes Parameter Estimation

Stochastic Precipitation Generation for the Xilingol League Using Hidden Markov Models with Variational Bayes Parameter Estimation

Precipitation modeling holds significant importance in various fields such as agriculture, animal husbandry, weather derivatives, hydrology, and risk and disaster preparedness. Stochastic precipitation generators (SPGs) represent a class of statistical models designed to generate synthetic data capa...

Full description

Bibliographic Details
Main Authors: Shenyi Zhang, Mulati Tuerde, Xijian Hu
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Water
Subjects:
stochastic precipitation generators
Hidden Markov Model
emission distribution
Variational Bayesian
stochastic optimization
correlation analysis
Online Access:https://www.mdpi.com/2073-4441/15/20/3600

Internet

https://www.mdpi.com/2073-4441/15/20/3600

Similar Items