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Comprehensive introduction to Bayesian statistics, covering key concepts, probability distributions, and practical applications with minimal mathematical complexity.
An introduction to statistical mechanics through thermodynamic potentials, the ergodic hypothesis, and the microcanonical ensemble.
Graduate econometrics develops matrix and geometric formulations of OLS, GLS, causal inference, and estimator theory.
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