1 Table of Contents: “.../Posterior Density -- 2.2 Maximum Likelihood -- 2.3 Normal-Based Inference -- 2.4 The ?-Method (Propagation...”

2 Table of Contents: “.... Likelihood/Posterior Density -- 2.2. Specification of the Prior -- 2.3. Maximum Likelihood -- 2.4. Normal...”

3 Table of Contents: “... for the Reader -- 2 Feynman-Kac Formulae -- 2.1 Introduction -- 2.2 An Introduction to Markov Chains -- 2.4...”

4 Table of Contents: “... of Sequential Monte Carlo -- 4 Sequential Monte Carlo in Action -- 5 Metropolis Algorithm and Beyond -- 6...”

5 Table of Contents: “... R Code; 6.8 Exercises; Chapter 7. Inferring a Binomial Proportion via the Metropolis Algorithm; 7.1...”

6 Table of Contents: “... magnetic field -- 2.2.Erwin Bolthausen, A Morita type proof of the replica-symmetric formula for SK -- 2.3...”

7 Table of Contents: “... -- Exercises -- 2 Markov Chain Monte Carlo Sampling -- 2.1 Gibbs Sampler -- 2.2 Metropolis-Hastings Algorithm...”

8 Table of Contents: “... example -- 9.6. The Metropolis-Hastings algorithm -- 9.6.1. Finding an invariant distribution -- 9.6.2...”

9 Table of Contents: “...1 Markov Chain Monte Carlo Methods -- 1.1 Motivations -- 1.2 Metropolis-Hastings algorithms -- 1.3...”

10 Table of Contents: “...2.1 Education and Wages2.2 Two Envelopes; 2.3 Hypothesis Testing; 2.3.1 The Likelihood Principle...”