The group conducts research developing stochastic models and statistical methods. The topics of interest are

- Bayesian statistics.
- Spatial and spatio-temporal statistics, stochastic geometry and imaging, with applications towards demography, forestry, offshore operations and wave modelling for sea transports, materials science, neurology, telecommunication.
- Theory for extremes in random processes and fields, and statistical analysis of extreme values such as extreme climatic episodes.
- Reliability improvement: in particular development of load models and fatigue accumulation for trucks.
- Financial risk management: research aimed at new methods for optimization of financial portfolios, measurement of catastrophic risks and handling of credit risks.
- Statistical estimation and algorithms for non-stationary and non-Gaussian processes.
- Computer intensive statistical methods and Big data statistics.
- Environmental statistics.
- Forensic statistics.

For life science statistics see the webpage of the research group in Biomathematics and biostatistics.

Our research in various ways intersects with other research groups at the Department, in particular with the groups in Computational Mathematics, Probability theory, and Optimization.

Twitter account of the Statistics group: follow it for news on statistics seminars, job openings in Statistics and more.

## Seminars

We participate in the joint Statistics and Biomathematics Seminar on Thursdays, 13:15-14:15, room MV:L14. It is also announced in the Calendar of Mathematical Sciences.

## Members

Faculty |
| |
---|---|---|

Patrik Albin | Extreme values | |

David Bolin | Spatial statistics | |

Olle Häggström | Bayesian statistics and risk analysis | |

Rebecka Jörnsten | Biostatistics | |

Erik Kristiansson | Biostatistics | |

Petter Mostad | Bayesian statistics and forensics | |

Staffan Nilsson | Statistical epidemiology | |

Umberto Picchini | Bayesian inference and likelihood-free methods for stochastic modelling | |

Holger Rootzén | Extreme values and risk analysis | |

Mats Rudemo | Spatial statistics and image analysis | |

Igor Rychlik | Ocean engineering modelling | |

Serik Sagitov | Statistical consulting | |

Moritz Schauer | Inference for stochastic differential equations, non-parametric Bayesian inference | |

Aila Särkkä | Spatial statistics | |

Ziad Taib | Medical statistics, biostatistics | |

Philip Townsend | | |

Sergei Zuyev | Spatial statistics | |

| | |

Emeriti |
| |

Jacques de Maré | Reliability theory | |

Olle Nerman | Biostatistics | |

| | |

PhD Students |
||

Oskar Allerbo | Biostatistics | |

Sandra Eriksson Barman | Extreme values and risk analysis | |

Felix Held | Statistical methods for description and estimation of undirected graphs | |

Anders Hildeman | Spatial statistics | |

Henrik Imberg | Sampling theory | |

Juan Inda | Multi-omics data integration | |

Anton Johansson | Deep learning, model selection for neural networks | |

Jonatan Kallus | Biostatistics | |

Konstantinos Konstantinou | Spatial statistics | |

Helga Kristín Ólafsdóttir | Extreme value theory, non-Gaussian models within spatial statistics | |