3,003 zoekresultaten voor “mathematical and statistical modelling” in de Publieke website
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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 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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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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Topics in mathematical and applied statistics
Promotor: A.W. van der Vaart
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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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Statistical Science
Het onderzoeksprogramma Statistical Science houdt zich bezig met de analyse en interpretatie van grote hoeveelheden data, de kwantificering van onzekerheid met behulp van kansmodellen en de ontwikkeling en benchmarking van algoritmen en methoden gericht op dataonderzoek.
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Statistical methods for microarray data
Promotores: J.C. van Houwelingen, S.A. van de Geer
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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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Numerical exploration of statistical physics
In this thesis, we examine various systems through the lens of several numerical methods.
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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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The developing infant gut microbiota: mathematical predictions of the effects of oligosaccharides
A complex community of microbes develops in the infant gut shortly after birth. We call this community the infant gut microbiota. The microbiota influences the health of the infant, which makes the composition and function of the infant gut microbiota an important topic to study.
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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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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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Bayesian Inference for Gaussian Models
This dissertation studies the Asymptotics of Bayesian nonparametric inference for Gaussian linear models.
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PhD: Modeling the mechanical regulation of plant development and regeneration (1.0 FTE)
Wiskunde en Natuurwetenschappen, Mathematisch Instituut (MI)
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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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Adaptive Streaming Applications: Analysis and Implementation Models
Promotor: Prof.dr. E. Deprettere
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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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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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Biological model representation and analysis
Promotor: Prof.dr. J.N. Kok, Co-promotor: F.J. Verbeek
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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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On metrics and models for multiplex networks
In this thesis, we extend the concept of null models as canonical ensembles of multi-graphs with given constraints and present new metrics able to characterize real-world layered systems based on their correlation patterns.
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Abstract delta modeling: software product lines and beyond
Promotor: Prof.dr. F.S. de Boer, Co-promotor: D. Clarke
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there yet? Advances in anytime-valid methods for hypothesis testing and prediction
Statistical considerations guide the design and implementation of the experiments that scientists perform. For instance, in a clinical trial about a the efficacy of a treatment, its effect in a certain minimum amount of patients has to be observed in order to make confident assertions about the efficacy…
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Modeling interstellar bubbles: near and far
Promotor: Prof. dr. A.G.G.M. Tielens
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Empirical signatures of universality, hierarchy and clustering in culture
In this thesis,
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Microscopy and Spectroscopy on Model Catalysts in Gas Environments
In surface science there is great effort to move from studying simple, flat model surfaces in vacuum to investigating more complex model catalysts in gas environments (in situ). This thesis gives three examples of such studies using microscopy and spectroscopy.
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Better Predictions when Models are Wrong or Underspecified
Promotor: P.D. Grünwald
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The LeiCNS-PK3.0 model development and applications: healthy-to-diseased CNS pharmacokinetic translation
Accurate prediction of the unbound drug concentration-time profile at the CNS target site is crucial for the assessment of the right drug concentration-effect relationship. PBPK models have supported the PK prediction of the CNS target sites and the translation of PK data between species and between…
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Integrating cellular 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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The parabolic Anderson model and long-range percolation
Promotor: Prof.dr. F. den Hollander, G.Maillard
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Personalised medicine for multiple outcomes: methods and application
The main objective of this thesis was to develop clinically relevant survival models for patients with high-grade soft tissue sarcoma of the extremities, in particular the development and validation of prediction models for use in clinical practice.
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Lattice models for Josephson junctions and graphene superlattices
In this thesis we study quantum transport phenomena on the nanometer scale, in two classes of materials: topological insulators with induced superconductivity and graphene superlattices.
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Computational modeling of mycobacterium infection and innate immune reponse in zebrafish
Promotor: Prof.dr. J.N. Kok
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Using mouse models to uncover genes driving tumorigenesis and therapy resistance in human breast cancer
To improve cancer treatments, personalized medicine approaches have aimed to identify exactly which mutations are driving tumor development in a given patient and specifically target these mutations using precision therapies.
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The parabolic Anderson model on Galton-Watson trees
The parabolic Anderson model (PAM), which is the Cauchy problem for the heat equation with random potential. The PAM is a mathematical model that describes how mass (i.e. matter or energy) flows in a medium in the presence of a field of sources and sinks.
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Postdoc Three-dimensional simulation models of plant tissue mechanobiology (1.0 FTE for three years)
Wiskunde en Natuurwetenschappen, Mathematisch Instituut (MI)
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Computational modeling of angiogenesis : from matrix invasion to lumen formation
Promotor: Roeland M.H. Merks
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Cholesterol metabolism in mouse models of atherosclerosis and adrenal steroidogenesis
Cholesterol influences many pathways, including serving as precursor for adrenal steroidogenesis. Imbalance of cholesterol levels has been implicated in several diseases including cardiovascular diseases and its underlying pathology, atherosclerosis.
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An Online Corpus of UML design models: Construction and empirical studies
Promotores: J. Kok, M. Chaudron (Chalmers University)
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Insights from modeling metabolism and amoeboid cell motility in the immune system
This thesis focuses on two processes involved in fighting infections: metabolism and immune cell motility and navigation.
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Application of zebrafish and murine models in lipoprotein metabolism and atherosclerosis research
Cardiovascular diseases are still a major concern for the global health.
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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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Invariant manifolds and applications for functional differential equations of mixed type
Promotor: S.M. Verduyn Lunel
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Development of a Kidney-on-a-Chip Model for Compound Screening and Transport Studies
Pharmaceutical companies, governments and the general public have become increasingly aware that animal models used in drug testing lack vital aspects to serve as an accurate representation of human biology. As models of the human body should become more physiologically relevant, animal models no longer…
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Stochastic resetting and hierarchical synchronisation
Stochastic resetting is simple enough to be approached analytically, yet modifies stochastic processes in a non-trivial way.
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Applications of multisource data-based dynamic modeling to cell-cell signaling and infectious disease spreading
The emergence of complex diseases resulting from abnormal cell-cell signaling and the spread of infectious diseases caused by pathogens are significant threats to humanity. Unraveling the dynamic mechanisms underlying cell-cell signaling and infectious disease spreading is crucial for effective disease…
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Gibbs Processes and Applications
Gibbs measures, as used in Statistical Mechanics, have a definition that is remarkably similar to the definition ofg-measures, used in dynamical systems.
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Pharmacogenomics in drug development: implementation and application of PKPD model based approaches
Promotor: Prof.dr. M. Danhof, Co-Promotor: J. de Jongh