Results 291 to 300 of about 1,563,284 (329)

Sub-daily soil moisture estimate using dynamic Bayesian model averaging

, 2020
Accurate estimation of soil moisture (SM) from satellite products and model simulations at sub-daily timescale remains a challenge. This study proposes a general dynamic Bayesian model averaging (BMA) framework for merging sub-daily model products ...
Yong Chen, Huiling Yuan, Yize Yang, Ruochen Sun   +3 more
semanticscholar   +1 more source

Bayesian Model Averaging

2018
We provide an overview of Bayesian model averaging (BMA), starting with a summary of the mathematics associated with classical BMA, including the calculation of posterior model probabilities and the choice of priors for both the models and the model parameters.
openaire   +1 more source

The hydrologist’s guide to Bayesian model selection, averaging and combination

Journal of Hydrology, 2019
Model selection and model averaging have become popular tools to address conceptual uncertainty in hydro(geo)logical modeling. Within the last two decades, many different flavors of approaches and implementations have emerged which complicate an easy ...
Marvin Höge, A. Guthke, W. Nowak
semanticscholar   +1 more source

Formulating a strategy to combine artificial intelligence models using Bayesian model averaging to study a distressed aquifer with sparse data availability

Journal of Hydrology, 2019
A modelling strategy is formulated, which collectively consists of separate Multiple Models (MM) and uses Bayesian Model Averaging (BMA) to combine these MMs to learn from data.
Marjan Moazamnia, Y. Hassanzadeh, A. Nadiri, R. Khatibi, S. Sadeghfam   +4 more
semanticscholar   +1 more source

Application of Bayesian model averaging for modeling time headway distribution

Physica A: Statistical Mechanics and its Applications, 2023
Shubo Wu, Y. Zou, Lingtao Wu, Yue Zhang
semanticscholar   +1 more source

Estimating evapotranspiration by coupling Bayesian model averaging methods with machine learning algorithms

Environmental Monitoring & Assessment, 2021
Yong Yang, Huaiwei Sun, J. Xue, Yi Liu, Luguang Liu, Dong Yan, D. Gui   +6 more
semanticscholar   +1 more source

Exploring Bayesian model averaging with multiple ANNs for meteorological drought forecasts

Stochastic environmental research and risk assessment (Print), 2022
M. Achite, F. B. Banadkooki, M. Ehteram, Abdelhak Bouharira, A. Ahmed, Ahmed Elshafie   +5 more
semanticscholar   +1 more source

Quantile-based Bayesian Model Averaging approach towards merging of precipitation products

Journal of Hydrology, 2021
Karisma Yumnam, Ravi Kumar Guntu, M. Rathinasamy, A. Agarwal   +3 more
semanticscholar   +1 more source

Transitional Markov Chain Monte Carlo Method for Bayesian Model Updating, Model Class Selection, and Model Averaging

, 2007
J. Ching, Yi-Chu Chen
semanticscholar   +1 more source

Bayesian System Averaging: A Theory Unifying Bayesian Forecasting System and Bayesian Model Averaging Methods

2018
There are two philosophically different approaches to address model uncertainty in forecasting practice. One is Bayesian Forecasting System (BFS) method. Another is forecast combination method. Bayesian Model Averaging (BMA) method is a typical kind of the latter.
openaire   +1 more source