1,450 search results for “statistical modeling” in the Public website
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Statistics when your models are wrong
Peter Grunwald
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Statistical Science
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.
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Enriching official economic statistics using data-driven modelling techniques
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'.
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Mark de Rooij
Faculteit der Sociale Wetenschappen
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Methodology and Statistics
Methodology and Statistics focuses on the development, evaluation and application of statistical models for the analysis of psychological research data.
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Bayesian uncertainty quantication in complex models
The aim of this project is to determine in which cases uncertainty statements resulting from a Bayesian statistical analysis can be trusted.
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Statistics & Data Science (MSc)
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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Spinoza project Statistical Science
Developing and investigating statistical methods for complex data and models
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Statistical physics and information theory for systems with local constraints
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.
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When data compression and statistics disagree: two frequentist challenges for the minimum description length principle
Promotor: P.D. Grünwald
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Statistical Science
PhD candidates carry out a programme of independent research, leading to a PhD thesis in typically 4 years.
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Better Predictions when Models are Wrong or Underspecified
Promotor: P.D. Grünwald
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Statistical methods for microarray data
Promotores: J.C. van Houwelingen, S.A. van de Geer
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Modeling interactions to unravel biomarkers for disease progression and treatment response
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
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Statistics and Data Science
The group Statistical Science is responsible for research and teaching in statistics and data science.
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Current challenges in statistical DNA evidence evaluation
Promotor: R.D. Gill, F. Taroni
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Assistant Professor Methodology & Statistics
Social and Behavioural Sciences, Psychology
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PhD candidates in Mathematical Statistics
Science, Mathematical Institute (MI)
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Statistical Consultation
Welcome to StatiCS: the Statistical Consultation Service. The goal of the service is to provide statistical support to PhD candidates and other researchers.
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Bayesian Inference for Gaussian Models
This dissertation studies the Asymptotics of Bayesian nonparametric inference for Gaussian linear models.
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Prior information and variational Bayes in high dimensional statistical network inference
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).
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Leiden University Center for Statistical Science
The Leiden University Center for Statistical Science unites the statisticians teaching and researching at Leiden University.
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Methodology and Statistics in Psychology (MSc)
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.
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Summer and Winter Schools: Methodology & Statistics
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.
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Research Methods and Statistics Leiden University
The programme group Research Methods and Statistics offers methodological support in many projects in the field of education and child studies.
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Marjolein Fokkema
Faculteit der Sociale Wetenschappen
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Quantum dot microcavity control of photon statistics
During my PhD research, I studied the photon statistics of light emitted by a microcavity that contains a single quantum dot (QD) on resonance.
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Services on Environmental Statistics and Accounts
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?
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Assistant Professors in Statistics (Tenure Track)
Science, Mathematical Institute (MI)
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Bayesian Statistics in Infinite Dimensions: Targeting Priors by Mathematical Analysis
Novel methods for understanding key aspects that are essential to the future of Bayesian inference for high- or infinite-dimensional models and data.
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Assistant Professors in Statistical Science (Tenure Track)
Science, Mathematical Institute (MI)
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Topics in mathematical and applied statistics
Promotor: A.W. van der Vaart
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Predictive Pharmacology in Children using Semi-Physiological population modelling
An integrated approach of physiological concepts, advanced statistical approaches and large clinical datasets.
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Mathematical modelling of advanced herbal extraction
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?
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Applied statistics as a pillar of data science
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…
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Stepwise latent class analysis
The main methodological aspects of the use of stepwise LCA estimators under different circumstances.
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Quantum local asymptotic normality and other questions of quantum statistics
Promotor: R. Gill, Co-promotor: P. Massart
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Assistant/Associate Professor in Statistics and/or Data Science
Science, Mathematical Institute (MI)
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Henk Kelderman
Faculteit der Sociale Wetenschappen
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Abstract Behavioral Specification: unifying modeling and programming
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.
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Duality, bosonic particle systems and some exactly solvable models of non-equilibrium
Promotor: F.H.J. Redig, Co-Promotor: W.T.F. den Hollander
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Computational modeling of angiogenesis: from matrix invasion to lumen formation
Promotor: Roeland M.H. Merks
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Statistical ‘rockstar’ Brad Efron opens Leiden statistics centre
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.
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The Landscape Model
This computational approach to the complexity of text comprehension is useful for describing the cognitive processes involved.
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Light Weighed: On the Statistics and Systematics of Weak Gravitational Lensing
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.
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Evaluating European imports of Asian aquaculture products using statistically supported life cycle assessments
Promotor: Prof.dr. G.R. de Snoo
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Minimal structure modeling
Existing work in probabilistic language modeling can be mostly divided into two categories:
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Systems Modelling Lab (SML)
Mathematical models of software systems enable characterizations, abstractions, simulations, and analysis of complex software during its development.
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Biotic ligand models
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)
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Strategic research into and development of best practice for, predictive modelling on behalf of Dutch Cultural Resource Management
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.