1 Intro
1.2 Bayesian statistics
Bayes’ Theorem updates the probability of an event by combining observations with prior knowledge about that event.
Bayes’ Theorem was published posthumously in 1763.
21st century, computational tools allow us to approximate solutions to very complex equations (see part 3).
1.3 Bayesian statistics in agriculture
Machine Learning is cool.
Bayesian statistics come in very handy to model specific problems that blend domain-specific knowledge with observed data.
- Mechanistic processes.
- Small data problems.
- Quantify uncertainty of derived quantities.
- Mechanistic processes.
Bayes-ML plot in 10 years?
