DanielWeitzenfeld/m6_public
Code for "Probabilistic forecasting of cross-sectional returns: A Bayesian dynamic factor model with heteroskedasticity"
Code for "Probabilistic forecasting of cross-sectional returns: A Bayesian dynamic factor model with heteroskedasticity"
blog source, from scratch
My M6 presentation slides
source for blog
A Python implementation of the tools from H-CUP (Healthcare Cost and Utilization Project)
A python implementation of Medicare's Risk Adjustment model based on Hierarchical Condition Categories (HCCs).
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
Mesa is a agent-based modeling framework in Python
scikit-learn: machine learning in Python
Python connector for ElasticSearch