2,386 search results for “mathematical and statistical modelling” in the Public website
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Current challenges in statistical DNA evidence evaluation
Promotor: R.D. Gill, F. Taroni
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Multiscale mathematical biology of cell-extracellular matrix interactions during morphogenesis
During embryonic growth, cells proliferate, differentiate, and collectively migrate to form different tissues at the right position and time in the body.
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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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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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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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Mathematics and Business Studies (MSc)
The master’s specialisation Mathematics and Science Based Business at Leiden University bridges science and business development by focusing on areas such as technology management, innovation, entrepeneurship, operations, and decision making.
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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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Boethius and the Importance of Basic Logic and Mathematics for Philosophy
In this dissertation, Boethius’ mathematics and logic and their roles in philosophy are reassessed, and on the basis of these, the connections between mathematics and logic in Boethius and their applications to theological or philosophical topics are explored.
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Stadium wave in the nerves: a new mathematical model
Electrical signals travel like a wave through our neural pathways. The mathematical models for these movements could not yet properly describe all the biological properties of the nerves. PhD student Willem Schouten-Straatman changed this by improving the existing models. ‘I hope that one day we will…
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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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Better Predictions when Models are Wrong or Underspecified
Promotor: P.D. Grünwald
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Marta Fiocco
Science
m.fiocco@math.leidenuniv.nl | +31 71 527 7144
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Peter Grünwald
Science
pdg@math.leidenuniv.nl | +31 71 527 2727
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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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Laura Zwep
Science
l.b.zwep@lacdr.leidenuniv.nl | +31 71 527 2727
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Gino Bertrand Kpogbezan
Science
g.b.kpogbezan@math.leidenuniv.nl | +31 71 527 7109
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Thijs Bos
Science
j.m.bos@math.leidenuniv.nl | +31 71 527 2727
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Johannes Schmidt-Hieber
Science
schmidthieberaj@math.leidenuniv.nl | +31 71 527 2727
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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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reform: an empirical research about the implementation of national mathematics curriculum reform in China
This is a research project on the implementation of national mathematics curriculum reform in Chinese junior high school. The research is expected to provide insight into the ways and reasons of mathematics teachers in Chinese junior high school for implementing national curriculum reform.
- Teaching Mathematics (MSc)
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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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These researchers turn mathematical models into healthcare solutions
Two Leiden researchers have demonstrated how mathematics can improve our healthcare. Daniel Gomon has developed a model that contributes to the quality of care in hospitals. Marta Spreafico works on an app that helps physicians make well-informed decisions about the treatment of a certain type of cancer.…
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Mathematics and Science Communication and Society (MSc)
The master’s specialisation Mathematics and Science Communication and Society at Leiden University bridges the gap between experts and the public by combining high quality research in mathematics with extensive training in science communication.
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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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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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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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Student for a Day Mathematics MSc
Study information
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Preparing MFDEs for the Modelling World
Classical mathematical models treat space and time as a continuum, while it is sometimes more useful to regard it as granular. Hupkes is studying what this means for a number of important patterns that are often found in computer calculations and in nature.
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Mark de Rooij
Faculteit der Sociale Wetenschappen
rooijm@fsw.leidenuniv.nl | +31 71 527 4102
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Kees Verduin
Faculteit der Sociale Wetenschappen
c.j.verduin@fsw.leidenuniv.nl | +31 71 527 2727
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Mathematical model predicts drug concentration in the brain
Do medicines arrive in the right amount at the right spot in our brain? By making a model that depicts our brain in small 'brain blocks', Esmée Vendel tries to find an answer to this question. Her new, mathematical model predicts the concentration of medicines in the brain over time and space. Vendel…
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Hannah Bliersbach
Faculteit Rechtsgeleerdheid
h.bliersbach@fgga.leidenuniv.nl | +31 70 800 9500
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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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Quantum local asymptotic normality and other questions of quantum statistics
Promotor: R. Gill, Co-promotor: P. Massart
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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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Quantitative systems pharmacology modeling of biotherapeutics in oncology
In this thesis, mathematical modeling and simulation was applied as a tool to inform quantitative decision making in oncology drug discovery and development.
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Computational modeling of angiogenesis: from matrix invasion to lumen formation
Promotor: Roeland M.H. Merks
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Richard Gill
Science
gill@math.leidenuniv.nl |
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Jacq Meulman
Science
j.j.meulman@math.leidenuniv.nl | +31 71 527 2727
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Rob Tijdeman
Science
tijdeman@math.leidenuniv.nl | +31 71 527 4831
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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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Postdoc Computational Modeling for Drug Safety Prediction
Science, Leiden Academic Centre for Drug Research (LACDR)
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and tissue dynamics with cell fate decisions through computational modeling
There is a need for alternative methods to replace, reduce and refine (3R) animal experimentation. Combining experimental data from high-throughput in vitro studies with in silico modeling is a promising approach to unravel the effect of chemicals on living cells and to gain a better understanding of…
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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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Minimal structure modeling
Existing work in probabilistic language modeling can be mostly divided into two categories:
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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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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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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.