Environmental Statistics

10.

Bayesian Methods in Environmental Science

10.1.

Fundamentals of Bayesian Statistics

10.1.1.

10.1.2.

Prior and Posterior Distributions

10.1.2.1.

Informative Priors

10.1.2.2.

Non-informative Priors

10.1.2.3.

Conjugate Priors

10.1.3.

Bayesian Inference

10.1.3.1.

Credible Intervals

10.1.3.2.

Hypothesis Testing

10.2.

Markov Chain Monte Carlo Methods

10.2.1.

10.2.2.

Metropolis-Hastings Algorithm

10.2.3.

Convergence Diagnostics

10.2.4.

10.3.

Applications of Bayesian Methods in Environmental Studies

10.3.1.

Bayesian Regression Models

10.3.2.

Bayesian Spatial Models

10.3.3.

Bayesian Time Series Models

10.3.4.

Model Selection and Averaging

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