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Bayesian maximum entropy approach and its applications: a review
The present paper reviews the conceptual framework and development of the Bayesian
Maximum Entropy (BME) approach. BME has been considered as a significant breakthrough …
Maximum Entropy (BME) approach. BME has been considered as a significant breakthrough …
[HTML][HTML] Association between air pollutants and dementia risk in the elderly
Background The aging rate in Taiwan is the second highest in the world. As the population
ages quickly, the prevalence of dementia increases rapidly. There are some studies that …
ages quickly, the prevalence of dementia increases rapidly. There are some studies that …
[HTML][HTML] Geochemical anomaly definition using stream sediments landscape modeling
Geochemical anomaly map** is a crucial part of environmental and mineral exploration
projects. Stream sediments are the most frequently sampling medium for geochemical …
projects. Stream sediments are the most frequently sampling medium for geochemical …
Air pollution exposure prediction approaches used in air pollution epidemiology studies
H Özkaynak, LK Baxter, KL Dionisio… - Journal of exposure …, 2013 - nature.com
Epidemiological studies of the health effects of outdoor air pollution have traditionally relied
upon surrogates of personal exposures, most commonly ambient concentration …
upon surrogates of personal exposures, most commonly ambient concentration …
Blending multi-resolution satellite sea surface temperature (SST) products using Bayesian maximum entropy method
Integrating multiple satellite sea surface temperature (SST) products is one of the ways to
improve the accuracy, spatial resolution and completeness of satellite SST products. In this …
improve the accuracy, spatial resolution and completeness of satellite SST products. In this …
Traffic-related air pollution increased the risk of Parkinson's disease in Taiwan: a nationwide study
Background Ambient air pollution has been associated with many health conditions, but little
is known about its effects on neurodegenerative diseases, such as Parkinson's disease …
is known about its effects on neurodegenerative diseases, such as Parkinson's disease …
Spatiotemporal modeling of ozone levels in Quebec (Canada): a comparison of kriging, land-use regression (LUR), and combined Bayesian maximum entropy–LUR …
A Adam-Poupart, A Brand, M Fournier… - Environmental …, 2014 - ehp.niehs.nih.gov
Background: Ambient air ozone (O3) is a pulmonary irritant that has been associated with
respiratory health effects including increased lung inflammation and permeability, airway …
respiratory health effects including increased lung inflammation and permeability, airway …
[HTML][HTML] Effect of indoor air quality on the association of long-term exposure to low-level air pollutants with cognition in older adults
YC Chen, PI Hsieh, JK Chen, E Kuo, HL Yu… - Environmental …, 2023 - Elsevier
Background How indoor air quality affects the temporal associations of long-term exposure
to low-level air pollutants with cognition remains unclear. Methods This cohort study (2011 …
to low-level air pollutants with cognition remains unclear. Methods This cohort study (2011 …
Spatiotemporal fusion of multiple‐satellite aerosol optical depth (AOD) products using Bayesian maximum entropy method
Q Tang, Y Bo, Y Zhu - Journal of Geophysical Research …, 2016 - Wiley Online Library
Merging multisensor aerosol optical depth (AOD) products is an effective way to produce
more spatiotemporally complete and accurate AOD products. A spatiotemporal statistical …
more spatiotemporally complete and accurate AOD products. A spatiotemporal statistical …
Estimating the spatial distribution of soil moisture based on Bayesian maximum entropy method with auxiliary data from remote sensing
S Gao, Z Zhu, S Liu, R **, G Yang, L Tan - International Journal of Applied …, 2014 - Elsevier
Soil moisture (SM) plays a fundamental role in the land–atmosphere exchange process.
Spatial estimation based on multi in situ (network) data is a critical way to understand the …
Spatial estimation based on multi in situ (network) data is a critical way to understand the …