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Environmental Statistics

Durchführung: Professur für Biometrie und Umweltsystemanalyse

 

Statistik-Titel

  1. repetition LM with multiple predictors: estimates, SE, P-values, interactions, non-linearity; plotting
  2. count GLM: link function, Poisson distribution, back-transform to response scale; plotting
  3. Bernoulli GLM: link function, Bernoulli distribution; backtransform; SE of prediction; plotting
  4. other GLMs: canonical link function, neg binomial, binomial, any other: maximum log-likelihood principle; likelihood profile via grid search
  5. Model diagnostics using simulation
  6. missing data imputation (mice; sklearn.KNNImputer)
  7. time series analysis with GAM and AR1
  8. bootstrapping and jackknife
  9. cross validation, incl. block cross-validation for time and space
  10. randomForest
  11. working with black-box models (ANN, SVM, …)
  12. reproducibility
  • quarto/markdown vs knitr/LaTeX
  • meta-data for dryad and pangea
  • docker, R: checkpoint for reproducibility


Lehrformen

  • Vorlesungen
  • Übungen
  • Gruppenarbeit