Multiscalar genetic pathway modeling with hybrid Bayesian networks
Sign Up to like & getrecommendations! Published in 2019 at "Wiley Interdisciplinary Reviews: Computational Statistics"
DOI: 10.1002/wics.1479
Abstract: Bayesian network modeling of real world datasets is often complicated by the fact that they are hybrid datasets that contain both discrete and continuous variables. For example, recent advances in high throughput biotechnologies have made… read more here.
Keywords: modeling hybrid; pathway modeling; multiscalar genetic; genetic pathway ... See more keywords
A theorem on a product of lognormal variables and hybrid models for children's exposure to soil contaminants.
Sign Up to like & getrecommendations! Published in 2020 at "Environmental pollution"
DOI: 10.1016/j.envpol.2020.114393
Abstract: This study developed hybrid Bayesian models to investigate the modeling process for children's exposure to soil contaminants, which involves the intrinsic uncertainty of the exposure model, people's judgments regarding random variables, and limited data resources.… read more here.
Keywords: hybrid models; exposure soil; hybrid bayesian; children exposure ... See more keywords
Dynamic Security Risk Evaluation via Hybrid Bayesian Risk Graph in Cyber-Physical Social Systems
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Computational Social Systems"
DOI: 10.1109/tcss.2018.2858440
Abstract: Cyber-physical social system (CPSS) plays an important role in both the modern lifestyle and business models, which significantly changes the way we interact with the physical world. The increasing influence of cyber systems and social… read more here.
Keywords: risk; bayesian risk; cyber physical; hybrid bayesian ... See more keywords