Peter Grunwald

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.

Netherlands Statistics (CBS), Leiden University and the University of Amsterdam have started a collaboration in the form of a research project titled 'Enriching official economic statistics using data-driven modelling techniques'.

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

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

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.

Developing and investigating statistical methods for complex data and models

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.

Promotor: P.D. Grünwald

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

Promotor: P.D. Grünwald

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

The aim of this project is to explore the use of statistical interaction models to quantify cross-omics and omics-drug interactions in large-scale clinical and experimental datasets

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

Promotor: R.D. Gill, F. Taroni

Social and Behavioural Sciences, Psychology

Science, Mathematical Institute (MI)

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

This dissertation studies the Asymptotics of Bayesian nonparametric inference for Gaussian linear models.

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 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.

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

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?

Science, Mathematical Institute (MI)

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

Science, Mathematical Institute (MI)

Promotor: A.W. van der Vaart

An integrated approach of physiological concepts, advanced statistical approaches and large clinical datasets.

Can the (industrial) herbal extraction process be mathematically described and can this model be used to optimize the extraction in terms of quality and economical parameters?

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…

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

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

Science, Mathematical Institute (MI)

We strive to address the challenge of constructing a modeling language to write software which can take advantage of recent hardware developments (multicore, cloud) without compromising in its abstraction levels.

Promotor: F.H.J. Redig, Co-Promotor: W.T.F. den Hollander

Promotor: Roeland M.H. Merks

He is said to be one of the greatest living statisticians. Bradley Efron gave a lecture in Marekerk and opened LUXs, the Leiden University Center for Statistical Science, the first university statistics centre in the Netherlands.

This computational approach to the complexity of text comprehension is useful for describing the cognitive processes involved.

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

Existing work in probabilistic language modeling can be mostly divided into two categories:

Mathematical models of software systems enable characterizations, abstractions, simulations, and analysis of complex software during its development.

Description of Biotic ligand models: making an inventory of available models & assessment of the variability of the predicted HC5 using the BLMs in different Dutch water types (2005 - 2007)

Are predictive archaeological maps a reliable tool to play an important role in the spatial planning? One of the goals of this project was to develop best practices for the production and application of the models.