Ph.D. course on the

Simulation of Random Fields

LP2 2015/16

Chalmers University of Technology & University of Gothenburg


News

9/12: The oral exams are on Wednesday, January 13, 2016, 10-12, details were distributed by email.
10/11: The first project is online and due on December 3, 10:00.
4/11: Lectures will take place Wednesday, 10-12 in MVL14 except in week 46 and week 49, where they are on Thursday, 10-12 in MVL15.
28/10: The first meeting is scheduled for Wednesday, November 4, 10:00 in MVL14

Teacher

Course coordinator: Annika Lang
Email: annika.lang@chalmers.se
Office: MVL2086

Course description

The aim of this course is to give an introduction to stochastic simulation with an emphasis on the simulation of random fields, especially Gaussian random fields. Besides the simulation of random variables in general, approximations of random fields and the corresponding convergence analyses are treated.

We will meet once a week for seven weeks. There will be project assignments during the course and an oral exam at the end of the course. The exact schedule will be fixed with the participants at the first meeting.

Course literature

will be updated continuously and still depends on the interest of the audience

Schedule

Wednesday 4/11
10-12
MVL:14
Introduction
Random number generation:
uniform distribution, inverse transformation method
Thursday 12/11
10-12
MVL:15
Random number generation:
Acceptance-Rejection, special methods for normal distribution
Random fields in Euclidean space: introduction and regularity
Project 1 (due 3/12, 10:00)
Wednesday 18/11
10-12
MVL:14
Random fields in Euclidean space:
Regularity (example Brownian motion)
Isotropic fields, covariance functions, Fourier transforms
Wednesday 25/11
10-12
MVL:14
Random fields in Euclidean space:
Simulation of Gaussian random fields on cubes via FFT with algorithms and examples
The unit sphere
Thursday 3/12
10-12
MVL:15
Gaussian random fields on the sphere:
Introduction and properties
Karhunen-Loève expansions
Project 2 (due 21/12, 10:00)
Wednesday 9/12
10-12
MVL:14
Gaussian random fields on the sphere:
Spectral approximations and convergence
Lognormal random fields
Wednesday 16/12
10-12
MVL:14
Gaussian random fields on the sphere:
Decay of the angular power spectrum vs. regularity of the covariance kernel
Sample Hölder regularity and differentiability
Relation of Q-Wiener processes and Gaussian random fields

Examination

There will be project assignments during the course and an oral exam at the end of the course. Passing grade requires a passing grade on the project assignments and the final oral exam. The projects can be done individually or in pairs of two students. The final oral exam is individual. The grading scale comprises Fail, (U), Pass (G), and successful completion of the course will be rewarded by 7.5 hp credit points.

Mailing list

If you want to receive information on the course by email, please contact annika.lang@chalmers.se