Bayesian data fusion for spatial prediction of categorical variables in environmental sciences

Mapping Intimacies ◽

10.1063/1.4903715 ◽

2014 ◽

Cited By ~ 1

Author(s):

Sarah Gengler ◽

Patrick Bogaert

Keyword(s):

Data Fusion ◽

Spatial Prediction ◽

Categorical Variables ◽

Environmental Sciences ◽

Bayesian Data Fusion

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A statistical framework of data fusion for spatial prediction of categorical variables

Stochastic Environmental Research and Risk Assessment ◽

10.1007/s00477-013-0842-7 ◽

2014 ◽

Vol 28 (7) ◽

pp. 1785-1799 ◽

Cited By ~ 6

Author(s):

Guofeng Cao ◽

Eun-hye Yoo ◽

Shaowen Wang

Keyword(s):

Data Fusion ◽

Spatial Prediction ◽

Categorical Variables ◽

Statistical Framework

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Bayesian data fusion in a spatial prediction context: a general formulation

Stochastic Environmental Research and Risk Assessment ◽

10.1007/s00477-006-0080-3 ◽

2006 ◽

Vol 21 (6) ◽

pp. 695-709 ◽

Cited By ~ 37

Author(s):

P. Bogaert ◽

D. Fasbender

Keyword(s):

Data Fusion ◽

Spatial Prediction ◽

Bayesian Data Fusion

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Vibration-based damage detection of structures employing Bayesian data fusion coupled with TLBO optimization algorithm

Structural and Multidisciplinary Optimization ◽

10.1007/s00158-021-02980-6 ◽

2021 ◽

Author(s):

Swarup K. Barman ◽

Mayank Mishra ◽

Dipak K. Maiti ◽

Damodar Maity

Keyword(s):

Data Fusion ◽

Damage Detection ◽

Optimization Algorithm ◽

Bayesian Data Fusion

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Bayesian data fusion: Probabilistic sensitivity analysis for unmeasured confounding using informative priors based on secondary data

Biometrics ◽

10.1111/biom.13436 ◽

2021 ◽

Author(s):

Leah Comment ◽

Brent A. Coull ◽

Corwin Zigler ◽

Linda Valeri

Keyword(s):

Sensitivity Analysis ◽

Data Fusion ◽

Probabilistic Sensitivity Analysis ◽

Secondary Data ◽

Informative Priors ◽

Unmeasured Confounding ◽

Bayesian Data Fusion

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Spatial filtering and Bayesian data fusion for mapping soil properties: A case study combining legacy and remotely sensed data in Iran

Geoderma ◽

10.1016/j.geoderma.2019.02.031 ◽

2019 ◽

Vol 344 ◽

pp. 50-62 ◽

Cited By ~ 7

Author(s):

Zahra Rasaei ◽

Patrick Bogaert

Keyword(s):

Data Fusion ◽

Soil Properties ◽

Spatial Filtering ◽

Remotely Sensed ◽

Remotely Sensed Data ◽

Bayesian Data Fusion

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Optimal bayesian data fusion and low-complexity approximations for distributed DS-CMDA wireless sensor networks in rayleigh fading

Proceedings of 2005 International Conference on Intelligent Sensing and Information Processing, 2005. ◽

10.1109/icisip.2005.1529413 ◽

2005 ◽

Cited By ~ 4

Author(s):

S.K. Jayaweera

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Data Fusion ◽

Rayleigh Fading ◽

Low Complexity ◽

Wireless Sensor ◽

Bayesian Data Fusion

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Target Recognition using Bayesian Data Fusion Method

2006 International Conference on Machine Learning and Cybernetics ◽

10.1109/icmlc.2006.258461 ◽

2006 ◽

Cited By ~ 2

Author(s):

Yu-qiu Sun ◽

Jin-wen Tian ◽

Jian Liu

Keyword(s):

Data Fusion ◽

Target Recognition ◽

Fusion Method ◽

Bayesian Data Fusion

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Bayesian Data Fusion: Spatial and Temporal Applications

2007 International Workshop on the Analysis of Multi-temporal Remote Sensing Images ◽

10.1109/multitemp.2007.4293058 ◽

2007 ◽

Cited By ~ 7

Author(s):

Dominique Fasbender ◽

Valerie Obsomer ◽

Julien Radoux ◽

Patrick Bogaert ◽

Pierre Defourny

Keyword(s):

Data Fusion ◽

Bayesian Data Fusion

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Bayesian data fusion and credit assignment in vision and fMRI data analysis

10.1117/12.487986 ◽

2003 ◽

Cited By ~ 1

Author(s):

Paul R. Schrater

Keyword(s):

Data Analysis ◽

Data Fusion ◽

Fmri Data ◽

Credit Assignment ◽

Fmri Data Analysis ◽

Bayesian Data Fusion

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Spatial prediction of soil organic matter using terrain indices and categorical variables as auxiliary information

Geoderma ◽

10.1016/j.geoderma.2011.07.012 ◽

2012 ◽

Vol 171-172 ◽

pp. 35-43 ◽

Cited By ~ 87

Author(s):

Shiwen Zhang ◽

Yuanfang Huang ◽

Chongyang Shen ◽

Huichun Ye ◽

Yichun Du

Keyword(s):

Organic Matter ◽

Soil Organic Matter ◽

Auxiliary Information ◽

Spatial Prediction ◽

Categorical Variables ◽

Terrain Indices

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