Chapter 3 Statistical Inference
It is a nice experience.
- Introduction to Statistical Inference
- Bayesian Statistical Inference
- Maximum Likelihood Inference
- Likelihood Function
- Maximum Likelihood Inference
- The entropy
- Inference with Variational Bayes
- Intro inside inference basics
- Likelihood Function
- Inference used in Machine Learning
- More About Variational Bayes
3.1 Classical Inference Techniques
- Maximum likelihood estimation
- Expectation maximization
- Iteratively reweighted least squares
- Restricted maximum likelihood estimation
3.2 Bayesian Inference Techniques
- Rejection sampling
- Importance sampling
- Markov chain Monte Carlo
- Gibbs sampling
- Metropolis Hasting
- Laplace Approximation
- Integrated nested Laplace approximation
- Variational Bayes