MaxEnt 2017 - Adriano Polpo - Collective posterior
MaxEnt 2017 - Udo von Toussaint - Uncertainty quantification for complex computer models
MaxEnt 2017 - Ariel Caticha - Entropic Dynamics
MaxEnt 2017 - Robert K. Niven - Maximum Entropy Analysis of Flow Networks
MaxEnt 2017 - Hellinton H. Takada - Bayesian Portfolio Optimization
MaxEnt 2017 - Adriano Polpo - Reliability Estimation in Coherent Systems - Part 1/2
MaxEnt 2017 - Ariel Caticha - The Phase of the Wave Function in Entropic Dynamics
MaxEnt 2017 - Nestor Caticha - Trust, law and ideology
MaxEnt 2017 - Flavio B. Goncalves
MaxEnt 2017 - Thais Fonseca - Modelling the kurtosis of spatio-temporal processes
MaxEnt 2017 - Diego Granziol
MaxEnt 2017 - Ali Mohammad-Djafari - Approximate Bayesian Computation tools - Part 1/2
MaxEnt 2017 - Yannis L. Kalaidzidis - Text attribution by Bayesian Network Classifier
John Harte, "Maximum Entropy is a Foundation for Complexity Science" ~ Stanford Complexity
MaxEnt 2017 - Nathalia Moura - Utility for Significance Tests
MaxEnt 2017 - Roberta Q. Lima - Uncertainty can be measured?
MaxEnt 2017 - Karim Anaya-Izquierdo - Survival Analysis based on the cumulative hazard function
MaxEnt 2017 - Fernando Correa - Choice of priors on changepoint problems
MaxEnt 2017 - Udo von Toussaint - Optimization employing GP-based surrogates
MaxEnt 2017 - Estevam R. Hruschka Jr - Never-Ending Learning
