BLOG
BLOG Bayesian Logic (BLOG) is a probabilistic modeling language. It is designed for representing relations and uncertainties among real world objects. For instance, tracking multiple targets in a video. BLOG makes it easy and concise to represet - uncertainty about the existence (and the number) of underlying objects - uncertain relations among objects - dependencies among relations and functions
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If everything depends on everything else, can we construct meaningful econometric models that have a limited number of variables?
How to create confounders with regression: a lesson from causal inference | R-bloggers
