Course - Spatial Statistics - TMA4250
TMA4250 - Spatial Statistics
About
Examination arrangement
Examination arrangement: Aggregate score
Grade: Letter grades
Evaluation | Weighting | Duration | Grade deviation | Examination aids |
---|---|---|---|---|
School exam | 70/100 | 4 hours | C | |
Portfolio | 30/100 |
Course content
Model specification, simulation and prediction, moreover parameter estimation, in continuous, event and mosaic random fields. Specifically in Gaussian, Poisson and Markov random fields. Examples from ecology, epidemiology and geophysics.
Learning outcome
1. Knowledge. The student has knowledge about basic concepts of the theory about Gaussian random fields, including algorithms for unconditional and conditional simulation, and spatial prediction by various types of kriging. The student also has knowledge about basic concepts of the theory of point processes, spatial Poisson and Cox random fields, and MCMC-algorithms for simulation of such point processes. Moreover, the student has knowledge about basic concepts of the theory of Markov random fields, including concepts as cliques, neighborhoods and potential function and insight into the Hammersley-Clifford theorem. Further, knowledge of simulation of Markov random fields by use of MCMC algorithms. Lastly, the student has knowledge of the basic theory of parameter estimation in spatial random fields.
2. Skills. The student can formulate statistical models for simple spatial phenomena, and perform parameter estimation under these models by use of suitable computer software. Moreover, the student can evaluate conditional models by stochastic simulation and perform spatial prediction.
Learning methods and activities
Lectures and compulsory work (projects). The lectures may be given in English.
Compulsory assignments
- Work
Further on evaluation
An aggregate score is given in the course. This aggregate score comprises a written final examination (70%) and a portfolio assessment (30%). The results for the constituent parts are given by the letter grading system.
The portfolio comprises three written reports that are submitted during the semester, and one final revised written report submitted no later than the day of the written exam. Feedback is given for each of the first three written reports, and the student chooses one of these written reports to revise. All written reports must be submitted, but only the revised written report forms the basis for the evaluation of the portfolio.
If the course is taught in English, the written final exam may be given only in English. Students are free to choose Norwegian or English for written assessments.
Retake of the written final examination may be given as an oral examination. When retaking a passed exam, both the written final examination and the portfolio assessment must be retaken.
Recommended previous knowledge
TMA4240/TMA4245 Statistics and TMA4300 Computer Intensive Statistical Methods (may be taken as a parallel), or equivalent. The subject requires a mature understanding of statistics and we also recommend TMA4265 Stochastic Processes and TMA4267 Linear Statistical Models.
Course materials
Will be announced at the start of the course.
Credit reductions
Course code | Reduction | From | To |
---|---|---|---|
SIF5064 | 7.5 |
Version: 1
Credits:
7.5 SP
Study level: Second degree level
Term no.: 1
Teaching semester: SPRING 2024
Language of instruction: English, Norwegian
Location: Trondheim
- Statistics
- Technological subjects
Department with academic responsibility
Department of Mathematical Sciences
Examination
Examination arrangement: Aggregate score
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
- Spring ORD School exam 70/100 C 2024-05-14 15:00 INSPERA
-
Room Building Number of candidates SL111 orange sone Sluppenvegen 14 20 -
Spring
ORD
Portfolio
30/100
Release
2024-04-13Submission
2024-05-13
12:00
INSPERA
12:00 -
Room Building Number of candidates - Summer UTS School exam 70/100 C INSPERA
-
Room Building Number of candidates
- * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"