Bayesian Information Sharing Between Noise And Regression Models Improves Prediction of Weak Effects.
Jussi GillbergPekka MarttinenMatti PirinenAntti J. KangasPasi SoininenMarjo-Riitta JärvelinMika Ala-KorpelaSamuel KaskiPublished in: CoRR (2013)
Keyphrases
- information sharing
- regression model
- prediction model
- linear regression model
- target variable
- regression analysis
- multiple linear regression
- information exchange
- survival analysis
- public sector
- model selection
- regression methods
- share information
- linear model
- knowledge sharing
- secure information sharing
- government agencies
- emergency response
- gaussian process
- data sharing
- multivariate regression
- homeland security
- regression method
- explanatory variables
- predictive model
- generalized linear models
- regression trees
- intelligence and security informatics
- disaster management
- bayesian networks
- machine learning
- public safety
- law enforcement
- independent variables
- decision trees
- cross validation
- decision making
- bullwhip effect
- interval valued data
- gaussian processes