Data Science Applications - Environment/Ecology
Offered By: Alan Turing Institute via YouTube
Course Description
Overview
Syllabus
Introduction
Data collection
Spatial data
Spatio temporal data
Individual level data
Data analysis
Example 1: Ring-recovery data
Example 1: Assumptions
Example 1: Model parameters
Example 1: Statistical model
Example 2: Assumptions
Example 2: Statistical model
Decisions in constructing models
Discussion-building models for capture-recapture data
Discussion-building models for telemetry data
Classical approach
Bayesian approach
Bayesian parameter estimation
MCMC single update overview
Statistical analysis
Issue 1: Model choice
Issue 1: Classical model choice
Issue 1: Bayesian model choice
Example: Model choice
Statistical approaches
Example 1: Capture-recapture data - Bayesian analysis
Example 2: Count data - Bayesian analysis output
Taught by
Alan Turing Institute
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