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.

Novel methods for understanding key aspects that are essential to the future of Bayesian inference for high- or infinite-dimensional models and data.

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.

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

Peter Grunwald

We explored how to morphologically classify well-resolved jetted radio-loud active galactic nuclei (RLAGN) in the LOw Frequency Array (LOFAR) Two-metre Sky Survey (LoTSS) using machine learning.

Why use Google Maps when you can also calculate your bike route based on your own data. Statistician and cyclist Alexander Dürre sees statistics in everything around him. He analyses data of soccer games and calculates the possible winners of cycling races. ‘When I have too much time, I apply statistics…

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.

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

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.

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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.

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).

The main methodological aspects of the use of stepwise LCA estimators under different circumstances.

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

Promotor: A.W. van der Vaart

This thesis is based on five papers on several topics.

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

Developing and investigating statistical methods for complex data and models

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

Social and Behavioural Sciences, Psychology

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

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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: R.D. Gill, F. Taroni

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

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.

Explore "Analysis of Repeated Measurements" at Boerhaave Nascholing. Learn statistical methods for correlated data in time. Read more here.

Explore "Analysis of Repeated Measurements" at Boerhaave Nascholing. Learn statistical methods for correlated data in time. Read more here.

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.

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

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.

The aim of this project is to determine in which cases uncertainty statements resulting from a Bayesian statistical analysis can be trusted.

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

The Explainatory Data Analysis group develops algorithms and theory that enable domain experts to explain data by finding interpretable patterns and models.

Analysis of neuroimaging data requires multiple steps where statistics play a crucial role. The MRI methods research group develops new statistical methods that are accurate, transparent and easy to use.

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

The research of the Applied Mathematics cluster is concerned with such diverse topics as dynamical systems, representation theory, differential equations and pattern recognition.

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

Science is typically a patchwork of research contributions without much coordination. Especially in clinical trials, the follow-up studies that we do fail to be the most promising.

Survival Analysis for Junior Researchers 2018 was hosted in Leiden.

Promotor: P.D. Grünwald

What is the best way to combine the environmental and economic data and how can we create an operational system to do so, thereby supporting the delivery of data to the Data centres on Products and Resources?

We explored the Universe using weak gravitational lensing, a phenomenon that occurs when light from distant galaxies is bent by the gravitational fields of closer cosmic objects, much like how a lens distorts light.