Previous years

 

​Postgraduate courses for previous years are listed below (except for those given joint with undergraduate education).

 

2018/2019

 

2017/2018

 

2016/2017

 

2015/2016


2014/2015

Mathematical statistics

 

2013/2014

Mathematical statistics

  • FMVE100 Integration theory (Johan Jonasson)
  • Weak convergence​ (Serik Sagitov)
  • High-dimensional data analysis (Holger Rootzén, 10 p, Sept-Nov)
  • Genetic Epidemiology (Staffan Nilsson)
  • MSF100-MVE325 Statistical Inference Principles (Rebecka Jörnsten)
  • Spatial Statistics (Aila Särkkä) 
  • Markov chains and mixing times (Jeff Steif)
  • Markov random fields (Olle Häggström)
  • MSF200-MVE330 Stochastic processes (Serik Sagitov)

 

2012/2013

Mathematical statistics

 

2011/2012

Mathematical statistics

  • 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)
  • 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)

 

2010/2011

Mathematical statistics

  • MSF300 Probabilities and Expectations (1st half, Torgny Lindvall)
  • Introduction to Statistical Genetics (September, Simon Tavaré, Olle Nerman
  • Regression Models and Graphs (October, Nanny Wermuth)
  • MCMC methods in Bayesian inference (2nd half, Petter Mostad)
  • MSF400/MVE315 Martingale Theory (2nd half, Erik Broman)
  • Interacting Particle Systems (2nd half, Jeff Steif)

 

For postgraduate courses in mathematics the years 2009/2010, 2008/2009 and 2007/2008, see the Swedish page

 

2009/2010

Mathematical statistics

  • MSF300 Probabilities and Expectations (1st half, Torgny Lindvall)
  • Noise sensitivity and sharp thresholds (Oct-Dec, Jeff Steif)
  • Chaos Expansions, Finite Elements, and Randomly Forced Equations (Krzysztof Podgorski, Igor Rychlik)
  • Introduction to Graphical Markov models (Oct-Dec, Nanny Wermuth)
  • Weak Convergence (1st half, Sergei Zuyev)
  • MSF100 Statistical Inference Principles (1st half, Rebecka Jörnstam)
  • MSF200 Stochastic Processes (1st half, Patrik Albin)
  • Gaussian Stationary Processes (2nd half, Anastassia Baxevani)
  • Elements of Statistical Learning (2nd half, Jenny Jonasson, Mats Rudemo)
  • Robust konstruktionsmetod för ökad tillförlitlighet (anm senast 29 jan 2010, Jacques de Mare)
  • Size-biased random trees and limit theorems in branching processes (May, K. B. Athreya, Peter Jagers)
  • ABC-techniques and Applications (June, Simon Tavaré, Olle Nerman)

 

2008/2009

Mathematical statistics

  • Sannolikheter och väntevärden (Torgny Lindvall) 7,5 points
  • Linear-fractional Galton-Watson processes (Serik Sagitov) 4,5 points
  • N.s. konvergens (Torgny Lindvall) 7,5 points
  • Forensic statistics (studiecirkel, Alexandra Jauhiainen, Petter Mostad och Jacques de Maré)  7,5 points
  • Konvergenshastigheter för Markovkedjor  (Johan Jonasson) 7,5 points
  • Inferensteori  (Rebecka Jörnsten) 7,5 points
  • Stokastiska differentialekvationer  (Patrik Albin) 7,5 points

 

Published: Mon 10 Aug 2020.