Research Group:

Random Models in Space and Time

Statistical Methods for Economic, Engineering, and Environmental Data

2013-2014 Report on Research Activities

Mid 2015 Report for Riksbankens Jubileumsfond



Check our CALENDAR for events of interest

Current Projects Participants:


Lead by:


Prof. Krzysztof Podgórski

Department of Statistics, School of Economics and Management, Lund University



Research Areas:
  1. Asymmetric and heavy tailed second order models -- general theory and statistics methods
  2. Statistical distributions at level crossing contours for random fields
  3. Dynamically evolving spatial random fields for modeling environmental data
  4. Non-Gaussian models in mechanical engineering
  5. Non-linear stochastic modelling in economics and finance -- non-linear model building and statistical inference

Weekly meeting: Tuesdays, 13:15 at the Department of Statistics, Small Seminar Room

Recent News

2016:

LINKS:

Additional Areas of Interests: Bayesian Statistics, Big Data, Statistical Machine Learning, Data Mining, Visualization Techniques

Past News

2015:

2014: