Foundations of Statistical Inference
Foundations of Statistical Inference
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Probability & Uncertainty
Foundations
Variance, SD & Standard Error
The Sampling Distribution
The Central Limit Theorem
CLT Simulator
LLN vs CLT
Inference
p-values & Confidence Intervals
The Bootstrap
Power, Alpha, Beta & MDE
Monte Carlo Experiments
Multiple Testing
Regression
Regression & the CEF
Residuals & Controls
Frisch-Waugh-Lovell
Standard Errors & Diagnostics
Heteroskedasticity
Clustered SEs
Measurement Error
Bias-Variance Tradeoff
When Inference Breaks Down
Causal Thinking
From Correlation to Causation
Bayesian Thinking
Bayesian Updating
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