Teaching

Spatial Statistics

Lecturer, Humboldt-Universität zu Berlin, Winter Semester 2026/27

Introductory Lecture

Covariance Theory, Variograms and Model Fitting: L1 E1 L2 E2 L3 E3 L4 E4

Spatial Prediction and Geostatistical Models: L5 E5 L6 E6 L7 E7 L8 E8

Gaussian Markov Random Fields and Lattice Models: L9 E9 L10 E10 L11 E11

Spatial Point Processes and Patterns: L12 E12 L13 E13 L14 E14 L15 E15

Further Methods Lecture

Part IB: Statistics

Supervisor, University of Cambridge, Lent 2023–25

Please contact me directly for any specific questions regarding the teaching of this course.

Part II: Principles of Statistics

Supervisor, University of Cambridge, Michaelmas Term 2022–24

Please contact me directly for any specific questions regarding the teaching of this course.