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Lecture
Exponential Family Models: Statistical Inference
Description
This lecture covers exponential family models, where various well-known distributions are unified under a general theory. It explains regular exponential families, canonical statistics, mean parameters, and cumulant-generating functions. The lecture also discusses the log moment-generating function, minimal sufficiency, and convexity properties.
Official source
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