2,100 search results for “mathematical and statistical modelling” in the Public website
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Topics in mathematical and applied statistics
Promotor: A.W. van der Vaart
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Statistical modelling of time-varying covariates for survival 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.
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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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Methodology and Statistics in Psychology
Are you thinking about studying Methodology and Statistics in Psychology? Learn more and watch the videos.
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Education
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.
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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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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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Leiden hosts seventh Survival Analysis for Junior Researchers conference
Next April, Leiden will host the seventh annual international Survival Analysis for Junior Researchers conference (SAfJR2018). This three-day event is aimed at career-young statisticians with an interest in the application and development of time-to-event analysis and related topics. The conference…
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Research
The programme group Research Methods and Statistics offers support to researchers from a variety of research projects within Education and Child Studies.
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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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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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When data compression and statistics disagree: two frequentist challenges for the minimum description length principle
Promotor: P.D. Grünwald
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Statistics when your models are wrong
Peter Grunwald
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Mathematical Institute
The Mathematical Institute is responsible for the research and education in mathematics and statistics at Leiden University.
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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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Mathematical analysis of systems pharmacology models
Systems pharmacology aims to apply techniques from systems biology to pharmacological models.
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Mathematical modelling of adverse outcome pathways
In this project, we aim to develop mathematical models to mechanistically and quantitatively predict the dynamics of cellular stress pathway activation and its relation with toxic effects when cells are exposed to various toxicants.
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Mathematics (MSc)
The master’s programme Mathematics at Leiden University focuses on analysis, probability and statistics, number theory and (arithmetic) geometry. It offers five specialisations ranging from Applied Mathematics to Mathematics and Business Studies.
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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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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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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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Mathematical Institute
Mathematics forms the basis of many innovations in technology, the service industry and science, such as data analysis and coding, artificial intelligence, weather or climate change modelling or understanding molecular processes. The researchers from the Mathematical Institute (MI) are constantly developing…
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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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Prediction of spatial-temporal brain drug distribution with a novel mathematical model
A novel mathematical model describes spatial-temporal drug distribution within one or more brain units, which are cubic representations of a piece of brain tissue with brain capillaries at the edges.
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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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Modelling the role of cytotoxic T lymphocytes in tumour regression
Immunotherapies for cancer are an emerging class of therapeutic strategies which aim to treat cancer via augmentation of the immune system.
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Computational modeling of cellular dynamics in tumor cell migration
Epithelial-mesenchymal plasticity (EMP) and tumor cell migration play an important role in cancer progression, and an improved understanding of the mechanisms underlying these concepts is essential for developing new targeted approaches.
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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.
- Mathematical Institute
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Applied Mathematics (MSc)
The master's specialisation Applied Mathematics at Leiden University focuses on both computational and fundamental aspects of analysis and probability. It’s also an ideal basis for a PhD degree. Applied Mathematics is an excellent choice if you have the aspiration to pursue a PhD degree
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Mathematics
Are you thinking about studying Mathematics? Learn more and watch the introduction video.
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Laura Zwep
Science
l.b.zwep@lacdr.leidenuniv.nl | +31 71 527 2727
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Peter Grünwald
Science
pdg@math.leidenuniv.nl | +31 71 527 2727
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Marta Fiocco
Science
m.fiocco@math.leidenuniv.nl | +31 71 527 7144
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Gino Bertrand Kpogbezan
Science
g.b.kpogbezan@math.leidenuniv.nl | +31 71 527 7109
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Kevin Duisters
Science
k.l.w.duisters@math.leidenuniv.nl | +31 71 527 2727
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Jelle Goeman
Faculteit Geneeskunde
j.j.goeman@lumc.nl | +31 71 526 9700
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Thijs Bos
Science
j.m.bos@math.leidenuniv.nl | +31 71 527 2727
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Quantitative biology of polar auxin transport and plant development
The availability of complete plant genome sequences together with the ever increasing amount of data on the molecular, cellular and physiological mechanisms of plant development require mathematical and computational models to obtain a complete overview of and generate new insights into the quantitative…
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Mathematics
PhD candidates carry out a programme of independent research, leading to a PhD thesis in typically 4 years.
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Mathematics cluster STAR tenure track
Perform cutting-edge research in the area of the STAR mathematics cluster.
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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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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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Mark de Rooij
Faculteit der Sociale Wetenschappen
rooijm@fsw.leidenuniv.nl | +31 71 527 4102
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Mathematical modeling of cellular stress pathways for mechanistic understanding of chemical-induced liver injury
Cellular stress response pathways are activated upon exposure to chemicals and help organisms deal with various molecular dangers (e.g. oxidative stress). When these pathways become hyper-activated an adverse response takes place and cells die, which may lead to organism-level toxicity such as drug-induced…
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Statistical methods for microarray data
Promotores: J.C. van Houwelingen, S.A. van de Geer
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Mathematics (BSc)
As a Mathematics student, you will learn to solve complex problems in creative ways using logical thinking and mathematical structures. A Mathematics degree will open many doors for you in society.
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Applied Psychometric and Sociometric Modeling
This research team is concerned with the measurement and modelling of behaviour, cognition, and unobserved traits (e.g., latent variables, missing data). Central aims include the distillation of a complex set of features into lower-dimensional representations (e.g., factor analysis, IRT), determining…
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Unravelling cell fate decisions through single cell methods and mathematical models
Despite being the object of intense study, embryonic development has been difficult to model due to a number of reasons. First, complex tissues can be comprised of many cell types, of which we probably only know a subset.
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Mathematics-based strategies for repairing tumour blood vessels
How does the extracellular matrix coordinate endothelial cell behavior during angiogenesis, and how do metabolic waste-products and matrix-degrading enzymes produced by the tumour modify the extracellular matrix so as the change the cellular coordination?