Tag: Bayesian probability
Framework combines Bayesian learning and discrete-event modeling for remanufacturing
Dynamic facility layout for remanufacturing under uncertain demand and supply
River stage dynamics drive dissolved oxygen in riparian aquifers
Deep learning reveals which factors control oxygen levels in groundwater near streams
Task learning increased redundancy in macaque visual cortex responses
Learning makes neural representations redundant to improve decision-making accuracy
Bayesian updating is characterized for a class of atomic probabilities
When Bayesian updating is the only way to revise probabilities
Retailer data analytics choices change under supplier encroachment
How retailers can strategically share demand insights while limiting supplier competition threats
