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Modelling Rainfall Data Using a Bayesian Kriged-Kalman Model [PDF]

, 2006
A suitable model for analyzing rainfall data needs to take into account variation in both space and time. The method of kriging is a popular approach in spatial statistics which makes predictions for spatial data. Kalman filtering using dynamic models is often used to analyze temporal data.
SAHU S. K, JONA LASINIO, Giovanna, MARDIA K. V.   +2 more
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Limit kriging in finite element environmental modeling

2011
Finite element method is used as a basis for an environmental model of an artificial water reservoir (lake) Botonega in Croatia. Geometry of the model has to be produced from geodesic data of the lake. Due to presence of the water available data are very limited and not even a simple finite element model could be made.
Kožar, Ivica, Jeričević, Željko, Lozzi-Kožar, Danila   +2 more
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Enhanced Kriging leave-one-out cross-validation in improving model estimation and optimization

Computer Methods in Applied Mechanics and Engineering, 2023
Xueguan Song, Xiaonan Lai, Pengwei Liang   +2 more
exaly  

Multi-fidelity Co-Kriging surrogate model for ship hull form optimization

Ocean Engineering, 2022
Decheng Wan, Weiwen Zhao, Xinwang Liu
exaly  

Linear Models for Spatial Data: Kriging

1991
Just as data collected sequentially in time may be correlated, data collected at known locations in space may be correlated. For example, deposits of high-quality copper are more likely to occur near other high-quality deposits. The levels of lead contamination in the soil around a smelter are likely to be correlated.
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Bayesian Model Averaging Kriging

Proceedings of the 8th International Conference on Computational Stochastic Mechanics (CSM 8), 2018
Jize Zhang, Alexandros A. Taflanidis
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A generalized hierarchical co-Kriging model for multi-fidelity data fusion

Structural and Multidisciplinary Optimization, 2020
Peng Jin, Qi Zhou, Zhendong Guo
exaly  

An accelerated active learning Kriging model with the distance-based subdomain and a new stopping criterion for reliability analysis

Reliability Engineering and System Safety, 2023
You Dong, Yang Zhang, Yu Zhang
exaly  

Reliability design and optimization of the planetary gear by a GA based on the DEM and Kriging model

Reliability Engineering and System Safety, 2020
Da Cui
exaly  

An efficient variable selection-based Kriging model method for the reliability analysis of slopes with spatially variable soils

Reliability Engineering and System Safety, 2023
Jianfang Zhou, Jia-Yi Ding
exaly