Module Handbook

  • Dynamischer Default-Fachbereich geändert auf MAT

Course MAT-62-15-K-7

Spatial Statistics (2V, 4.5 LP)

Course Type

SWS Type Course Form CP (Effort) Presence-Time / Self-Study
2 V Lecture 4.5 CP 28 h 107 h
(2V) 4.5 CP 28 h 107 h

Basedata

SWS 2V
CP, Effort 4.5 CP = 135 h
Position of the semester 1 Sem. irreg.
Level [7] Master (Advanced)
Language [EN] English
Lecturers
+ further Lecturers of the department Mathematics
Area of study [MAT-STO] Stochastics/Statistics/Financial Mathematics
Additional informations
Livecycle-State [NORM] Active

Contents

  • Spatial point processes (in R² und R³),
  • Point process models (Poisson process, Hard-core and cluster processes, Gibbs processes) and their simulation,
  • Statistical methods for pint processes,
  • Marked point processes and particle processes.

Literature

  • J. Møller, R.P. Waagepetersen: Statistical Inference and Simulation for Spatial Point Processes,
  • D. Stoyan, W.S. Kendall, J. Mecke: Stochastic Geometry and its Applications,
  • J. Illian, A. Penttinen, H. Stoyan, D. Stoyan: Statistical Analysis and Modelling of Spatial Point Patterns.

Materials

Further literature will be announced in the lecture(s); exercise material is provided.

Requirements for attendance (informal)

More advanced knowledge in Stochastics (e.g. from the courses [MAT-60-12-K-4] or [MAT-60-11-K-4]) is useful but not necessarily required.

Modules:

Requirements for attendance (formal)

None

References to Course [MAT-62-15-K-7]

Module Name Context
[MAT-62-15-M-7] Spatial Statistics P: Obligatory 2V, 4.5 LP