Statistics for Applications by Prof. Philippe Rigollet via MIT
Statistics for Applications free videos and free material uploaded by Massachusetts Institute of Technology Staff .
Introduction to Statistics
Parametric Inference
Maximum Likelihood Estimation
The Method of Moments
Parametric Hypothesis Testing
Testing Goodness of Fit
Regression
Bayesian Statistics
Principal Component Analysis
Generalized Linear Models
This course offers an in-depth the theoretical foundations for statistical methods that are useful in many applications. The goal is to understand the role of mathematics in the research and development of efficient statistical methods.
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