The research programme Statistical Science is concerned with the analysis and interpretation of masses of data, the quantification of uncertainty using probability models, and the development and benchmarking of algorithms and methods with these aims.

The Statistics group is responsible for research and teaching in statistics and data science.

PhD candidates carry out a programme of independent research, leading to a PhD thesis in typically 4 years.

The master’s programme Statistics & Data Science provides students with a thorough introduction to the general philosophy and methodology of statistical modelling and data analysis. The programme has two specialisations: Data Science and Statistical Science.

Methodology and Statistics focuses on the development, evaluation and application of statistical models for the analysis of psychological research data.

Developing and investigating statistical methods for complex data and models

Are you thinking about studying Statistics and Data Science? Learn more and watch the introduction video.

Promotores: J.C. van Houwelingen, S.A. van de Geer

Welcome to StatiCS: the Statistical Consultation Service. The goal of the service is to provide statistical support to PhD candidates and other researchers.

Are you thinking about studying Methodology and Statistics in Psychology? Learn more and watch the videos.

The programme group Research Methods and Statistics develops and teaches the large majority of methodological courses in all phases of the program Education and Child Studies.

Promotor: R.D. Gill, F. Taroni

Systems with local constraints is a new finding in recent researches on complex systems. The heterogeneous spatial interactions and the temporal dependencies among those numerous units make it difficult to describe by traditional statistical physics.

The Leiden University Center for Statistical Science unites the statisticians teaching and researching at Leiden University.

In the specialisation Methodology and Statistics, part of the Master in Psychology, you will focus on in-depth study of statistical theory and research methodology as well as on the acquisition of data analysis skills.

The Graduate School of Social and Behavioural Sciences in collaboration with the Department of Methodology and Statistics and researchers in the field of Methodology and/or Statistics of the other Institutes provides training courses for PhD candidates and other researchers.

The programme group Research Methods and Statistics offers methodological support in many projects in the field of education and child studies.

The programme group Research Methods and Statistics offers support to researchers from a variety of research projects within Education and Child Studies.

In this thesis, we examine various systems through the lens of several numerical methods.

During my PhD research, I studied the photon statistics of light emitted by a microcavity that contains a single quantum dot (QD) on resonance.

This dissertation focuses on developing new mathematical and statistical methods to properly represent time-varying covariates and model them within the context of time-to-event analysis.

Explaining treatment response variability between and within patients can support treatment and dosing optimization, to improve treatment of individual patients.

Data science is now growing fast in many places, but scholars at Leiden University have been developing data science techniques for a long time already. Thanks to their broad-based expertise, Leiden statisticians are currently combining the achievements in statistics with the latest methods of statistical…

Promotor: A.W. van der Vaart

Promotor: R. Gill, Co-promotor: P. Massart

Vandaag de dag liggen statistische methodes aan de grondslag van beslissingen in allerlei facetten van het leven, van de gezondheidszorg en agricultuur tot de financiële sector en marketing.

This dissertation is organised into three parts, each addressing a distinct research area related to Gibbs measures.

This thesis develops statistical methods for the analysis of high dimensional data: high dimensional networks reconstruction (Chapters 1-4), incorporation of prior information in networks reconstruction (Chapters 2-4), incorporation of prior knowledge in genetic association studies (Chapter 3).

Promotor: P.D. Grünwald

In astronomy, the interpration of observations and measurements plays a crucial role: we rely purely and fundamentally on the information that reaches us as observers. And 80% of all matter in the universe is undetectable directly.

Promotor: Prof.dr. G.R. de Snoo

As of November 1st, Peter Grünwald has been appointed professor Statistical learning on a new chair hosted by both the Mathematical Institute and the Leiden Institute for Advanced Computer Science (LIACS).

In a recent TEDx Flanders event “Statistical Errors in Court”, Statistical Scientist Richard Gill speaks about the case of Lucia de Berk, a nurse found guilty of several murders based largely on statistics.

‘Statistics? I hated that hard subject in school’, statistician Sanne Willems is often told. And that is a pity, she thinks, because statistics doesn’t necessarily have to be difficult. Together with two former fellow students, she set up a Statistics Communication section for good communication on…

Marta Fiocco, professor in the Mathematical Institute, has received a grant for analysing data on chemotherapy in children suffering from leukaemia. The work involves developing and applying new statistical methods that will help determining the optimal dose of chemotherapy.

This September a new Masters Track

Data theory research on the analysis on the multidimensional data

Promotor: A.W. van der Vaart

Electoral Systems and Turnout: Evidence From a Regression Discontinuity Design. In this article, published on the website SAGE research methods, authors Jaroslaw Kantorowicz and Tobias M. Hlobil discuss how a Regression Discontinuity Design can be executed.