2,699 search results for “methodology 26 statistics” in the Public website
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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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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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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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Hemmo Smit
Faculteit der Sociale Wetenschappen
hsmit@fsw.leidenuniv.nl | +31 71 527 3766
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Statistical methods for microarray data
Promotores: J.C. van Houwelingen, S.A. van de Geer
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Statistics when your models are wrong
Peter Grunwald
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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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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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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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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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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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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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Methodology Research Cluster
CADS researchers give methodology their own unique signature through two parallel engagements: (a) teaching and researching the full range of social science methods, from audio-visual engagements, through global ethnography, to statistical analysis; and (b) interrogating these multiple modalities employing…
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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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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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Statistical Science
PhD candidates carry out a programme of independent research, leading to a PhD thesis in typically 4 years.
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PhD Statistics
Science, Mathematical Institute (MI)
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Spinoza project Statistical Science
Developing and investigating statistical methods for complex data and models
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Statistics and Data Science
Are you thinking about studying Statistics and Data Science? Learn more and watch the introduction video.
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Current challenges in statistical DNA evidence evaluation
Promotor: R.D. Gill, F. Taroni
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Resampling Methodology for Longitudinal Data Analysis
How does the cluster bootstrap procedure in combination with various types of linear models perform in the analysis of longitudinal data, compared to other methods.
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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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Statistical learning for complex data to enable precision medicine strategies
Explaining treatment response variability between and within patients can support treatment and dosing optimization, to improve treatment of individual patients.
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Numerical exploration of statistical physics
In this thesis, we examine various systems through the lens of several numerical methods.
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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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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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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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Topics in mathematical and applied statistics
Promotor: A.W. van der Vaart
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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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Thiosugars: reactivity, methodology and applications
Carbohydrates, alongside proteins and nucleic acids, constitute a crucial and versatile family of biomolecules present in all life forms. They manifest as monosaccharides, oligosaccharides, and polysaccharides, covalently bonded to proteins and fats. Carbohydrates are integral to plant and arthropod…
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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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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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Quantum local asymptotic normality and other questions of quantum statistics
Promotor: R. Gill, Co-promotor: P. Massart
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Technology and Methodology for Archaeological Practice
Practical applications for the reconstruction of the past
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Electoral Systems and Turnout: Evidence From a Regression Discontinuity Design
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.
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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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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.
- Week 7-8: 17-26 February 2019
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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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Beibei Yuan
Faculteit der Sociale Wetenschappen
b.yuan@fsw.leidenuniv.nl | +31 71 527 2727
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Reevaluating Conceptions of Imperial Monetary Flow: New Methodologies and Frameworks
This project suggests a reconceptualisation of pre- and non-capitalist imperial monetary policy, arguing that the existing literature about imperial financial flows has unnecessarily privileged ideas of largesse and seemingly chaotic monetary distribution. Using the divergent cases of the Roman Empire…
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Synthetic Methodology Towards ADP-Ribosylation Related Molecular Tools
Phosphorylation affects all four major biomolecules – proteins, lipids, carbohydrates and nucleic acids – and plays a pivotal role in the most fundamental cellular functions.
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Ludo Block
Faculty Governance and Global Affairs
l.block@fgga.leidenuniv.nl | +31 70 800 9506
- Week 6-7 (15-26 February)
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Peter Grünwald professor statistical learning
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).
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Professor Richard Gill at TEDxFlanders “Statistical Errors in Court”
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.
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Mariëlle Linting
Faculteit der Sociale Wetenschappen
linting@fsw.leidenuniv.nl | +31 71 527 4098