3785 zoekresultaten voor “mathematical and statistical modelling” in de Publieke website
-
Nightingale Colloquium presents Veronika Cheplygina
Lezing
- Florence Nightingale Colloquium
-
Florence Nightingale Colloquium presents Max Welling
Lezing
-
Florence Nightingale Colloquium presents Peter Grünwald - webinar
Lezing
-
CANCELLED: Florence Nightingale Colloquium presents Max Welling
Lezing, Lunch included
-
Florence Nightingale Colloquium presents Odette Scharenborg
Lezing, Lunch included
-
Florence Nightingale Colloquium presents Marta Fiocco
Lezing
-
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.
-
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.
-
Empirical signatures of universality, hierarchy and clustering in culture
In this thesis, "culture" refers to the collection of subjective human traits, such as preferences an opinions, that a given, geographically bounded population has at a given moment in time.
-
Duality, bosonic particle systems and some exactly solvable models of non-equilibrium
Promotor: F.H.J. Redig, Co-Promotor: W.T.F. den Hollander
-
Chaotic dynamics in N-body systems
Promotor: Prof.dr. S.F. Portegies Zwart
-
Topics in mathematical and applied statistics
Promotor: A.W. van der Vaart
-
Statistical Science (specialisation) (MSc)
In deze opleiding ligt de focus op statistische modellen, waaronder de interpretatie van empirische resultaten binnen de life sciences en behavioural sciences.
-
PHD candidate, Mathematical modeling for prediction of liver toxicity
Wiskunde en Natuurwetenschappen, Leiden Academic Centre for Drug Research (LACDR)
-
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.
-
Statistical methods for microarray data
Promotores: J.C. van Houwelingen, S.A. van de Geer
-
Full Professor in Artificial Intelligence and Data Theory
Geneeskunde/LUMC, Wiskunde en Natuurwetenschappen
-
Statistical Science for the Life and Behavioural Sciences (MSc)
De masteropleiding Statistical Science for the Life and Behavioural Sciences biedt twee specialisaties: statistical science: data science en statistical science for the Life and Behavioural Sciences. Beide programma’s geven een uitgebreide introductie van de algemene filosofie en methodologie van statistische…
-
Bayesian Inference for Gaussian Models
This dissertation studies the Asymptotics of Bayesian nonparametric inference for Gaussian linear models.
-
Current challenges in statistical DNA evidence evaluation
Promotor: R.D. Gill, F. Taroni
-
Adaptive Streaming Applications: Analysis and Implementation Models
Promotor: Prof.dr. E. Deprettere
-
Abstract delta modeling: software product lines and beyond
Promotor: Prof.dr. F.S. de Boer, Co-promotor: D. Clarke
-
Ruben HueleWiskunde en Natuurwetenschappen
-
Computational modeling of mycobacterium infection and innate immune reponse in zebrafish
Promotor: Prof.dr. J.N. Kok
-
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.
-
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).
-
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.
-
An Online Corpus of UML design models: Construction and empirical studies
Promotores: J. Kok, M. Chaudron (Chalmers University)
-
Reinout HeijungsWiskunde en Natuurwetenschappen
-
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.
-
Invariant manifolds and applications for functional differential equations of mixed type
Promotor: S.M. Verduyn Lunel
-
Biological model representation and analysis
Promotor: Prof.dr. J.N. Kok, Co-promotor: F.J. Verbeek
-
Modeling interstellar bubbles: near and far
Promotor: Prof. dr. A.G.G.M. Tielens
-
Data Science: Statistical Science (MSc)
Deze opleiding combineert een breed scala aan statistische methoden met moderne Data Science technieken.
-
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.
-
Computational modeling of angiogenesis : from matrix invasion to lumen formation
Promotor: Roeland M.H. Merks
-
Systems pharmacokinetic models to the prediction of local CNS drug concentrations in human
Clinical development of drugs for central nervous system (CNS) disorders has been particularly challenging and still suffers from high attrition rates.
-
Stochastic resetting and hierarchical synchronisation
Stochastic resetting is simple enough to be approached analytically, yet modifies stochastic processes in a non-trivial way.
-
Metastability for low-temperature Kawasaki dynamics with two types of particles
Promotor: W.Th.F. den Hollander, Co-promotor: F.R. Nardi
-
When data compression and statistics disagree: two frequentist challenges for the minimum description length principle
Promotor: P.D. Grünwald
-
Psychologen moeten meer voorspellen
Statistische modellen doen betere voorspellingen over toekomstig gedrag dan psychologen die gedrag louter verklaren. Daarom moeten psychologen zich meer richten op de ontwikkeling van accurate statistische voorspellingsmodellen. Dat stelt Mark de Rooij, hoogleraar Methodologie en Statistiek van Psychologisch…
-
The parabolic Anderson model and long-range percolation
Promotor: Prof.dr. F. den Hollander, G.Maillard
-
This Week's Discoveries | 23 June 2020
Lezing
-
Cholesterol metabolism and hematopoiesis interaction in atherothrombosis
Cardiovascular disease is the leading cause of death worldwide.
-
Strings and AdS/CFT at finite density
Promotores: J. Zaanen, A. Parnachev
-
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.
-
Cholesterol metabolism in mouse models of atherosclerosis and adrenal steroidogenesis
Promotie
-
Unraveling temporal processes using probabilistic graphical models
Real-life processes are characterized by dynamics involving time. Examples are walking, sleeping, disease progress in medical treatment, and events in a workflow.
-
Dynamical Gibbs-non-Gibbs transitions: a study via coupling and large deviations
Promotores: F.H.J. Redig, W.T.F. den Hollander