Bayesian Methods for Ecological and Environmental Modelling

UKCEH

Welcome

Domestics

  • Fire alarm
  • Toilets
  • Wi-fi
    • UKCEH Wi-Fi
    • UKCEH Guest: password Atm0sphere!

Website

All materials on course website:

nerc-ceh.github.io/beem

Explaining the course title

Bayesian Methods for Ecological and Environmental Modelling

Explaining the course title

Bayesian Methods for Ecological and Environmental Modelling
  • conditional probability

Explaining the course title

Bayesian Methods for Ecological and Environmental Modelling
  • conditional probability
  • broader than “statistics”

Explaining the course title

Bayesian Methods for Ecological and Environmental Modelling
  • conditional probability
  • broader than “statistics”
  • data are indirect, true processes are hard to observe

Explaining the course title

Bayesian Methods for Ecological and Environmental Modelling
  • conditional probability
  • broader than “statistics”
  • data are indirect, true processes are hard to observe
  • any kind of model

Confusion is normal

  • Get comfortable with confusion
  • Ask questions!

Assumed knowledge

  • familiarity with R

  • basic maths

  • exposure to significance testing, p-values etc.

  • some unlearning required

A perspective shift

Heliocentric model

Geocentric model

Overview

Overview

Monday pm

  • basics of conditional probablility

Overview

Tuesday am

  • How the Bayesian approach is typically implemented
    • Markov chain Monte Carlo (MCMC) algorithms

Tuesday pm

  • Linear modelling
    • practical application to simple models

Overview

Wednesday am

  • Model comparison & selection
  • Measurement and uncertainty

Wednesday pm

  • Hierarchical modelling
    • practical application to more complex models

Overview

Thursday am

  • Hierarchical modelling cont.
  • Process-based modelling
    • practical application to very complex models

Thursday pm

  • Process-based modelling cont.
  • Summing up

Overview

Friday am

Up to you …

  • small group discussions?
  • recap / revisit?

Introductions