Ph.D Courses 2011/12

Autumn 2011
MSF300 Probabilities and Expectations (1st half, Torgny Lindvall)
Probabilistic methods in combinatorics, number theory and computer science (2nd half, Devdatt Dubhashi, Peter Hegarty, Jeff Steif)
Bootstrap and resampling methods (2nd half and 1st part of spring, reduced speed, Rebecka Jörnsten)
Spring 2012
Percolation Theory (1st half, Olle Häggström)
MSF400/MVE315 Martingale Theory (1st half, Anton Muratov, Sergei Zuyev)
MSF100 Statistical Inference Principles (1st half, Rebecka Jörnsten)
Stochastic control theory (April-May, Boualem Djehiche)
Introduction to R for biologists (April-May, Krzysztof Bartoszek)
Statistical Inference and Supervised Learning (May, Mats Rudemo, Magnus Röding)
Some Ph.D courses that have recently been given
MSF300 Probabilities and Expectations
Interacting Particle Systems (Jeff Steif)
MCMC methods in Bayesian inference (Petter Mostad)
Elements of Statistical Learning (Jenny Jonasson, Mats Rudemo)
Gaussian Stationary Processes (Anastassia Baxevani)
MSF200 Stochastic Processes (Patrik Albin)
Chaos Expansions, Finite Elements, and Randomly Forced Equations (Krzysztof Podgorski, Igor Rychlik)
Noise sensitivity and sharp thresholds (Jeff Steif)

Published: Fri 26 Apr 2019.