74 zoekresultaten voor “bayesian” in de Publieke website
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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.
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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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Bayesian learning: challenges, limitations and pragmatics
This dissertation is about Bayesian learning from data. How can humans and computers learn from data?
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Nonparametric Bayesian Methods in Robotic Vision
In this dissertation non-parametric Bayesian methods are used in the application of robotic vision.
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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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Prediction Sets via Parametric and Nonparametric Bayes: with Applications in Pharmaceutical Industry
This thesis consists of five chapters on how to construct prediction sets for different types of data and models in a parametric or nonparametric Bayesian paradigm.
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Multi-Objective Bayesian Global Optimization for Continuous Problems and Applications
A common method to solve expensive function evaluation problem is using Bayesian Global Optimization, instead of Evolutionary Algorithms.
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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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Bayes and Networks
Promotor: A.W. van der Vaart
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Xaver Funk
Faculteit der Sociale Wetenschappen
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Credible sets in nonparametric regression
Promotor: Prof.dr. A.W. van der Vaart
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Current challenges in statistical DNA evidence evaluation
Promotor: R.D. Gill, F. Taroni
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Better Predictions when Models are Wrong or Underspecified
Promotor: P.D. Grünwald
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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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Rianne de Heide
Wiskunde en Natuurwetenschappen
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Aad van der Vaart Scientific Director Mathematical Institute
Prof. dr. Aad van der Vaart has been appointed as Scientific Director of the Mathematical Institute of Leiden University on Tuesday 15 September 2015. He succeeds prof. dr. Peter Stevenhagen who has been a dedicated Scientific Director of the Mathematical Institute as from 2007.
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Bayesian Inference for Gaussian Models
Promotie
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Robust rules for prediction and description.
In this work, we attempt to answer the question:
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Research
The members of LUXs develop and validate new methods and algorithms for analysing data, and apply these in a wide range of problems. Their research ranges from multidisciplinary applications to proving mathematical theorems.
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Topics in mathematical and applied statistics
Promotor: A.W. van der Vaart
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Bayesian learning: challenges, limitations and pragmatics
Promotie
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Nonparametric Bayesian Methods in Robotic Vision
Promotie
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Spinoza Prize for Leiden statistician Aad van der Vaart
Aad van der Vaart, professor of stochastics at Leiden University, has been awarded the NWO Spinoza Prize for his groundbreaking research in statistics. Van der Vaart conducts fundamental research on models that can help, for instance, to identify genes that play a role in cancer.
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Phylogeny and species delimitation within the moss genus Dicranum Hedw.
Promotor: Prof.dr. E. Smets, Dr. M. Stech
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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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Major transitions in evolution: a Bayesian phylogenetic approach
Lezing
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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.
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A community effort to assess and improve drug sensitivity prediction algorithms
Source: Nature Biotechnology, Volume 2014, Issue June (2014)
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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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A search for transient reductions in the speed of sound of the inflaton in cosmological data, and other topics
Promotor: Prof.dr. A. Achucarro
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Analysis and Stochastics
The research of the Applied Mathematics cluster is concerned with such diverse topics as dynamical systems, representation theory, differential equations and pattern recognition.
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Multi-Objective Bayesian Global Optimization for Continuous Problems and Applications
Promotie
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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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Proteochemometric modelling coupled to in silico target prediction
An integrated approach for the simultaneous prediction of polypharmacology and binding affinity/potency of small molecules.
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Key publications
Key publications of the Quantitative Pharmacology group
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Climate Change and Natural Isotopes
This project, under the supervision of Prof. Dr. Hans van der Plicht, comprises several studies aimed at the use of isotopes occurring naturally in organic material as tracers for both the climate change and its cultural impact at about 6200 BC. The research will be carried out by the co-applicant at…
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Stéphanie van der Pas receives Willem R. van Zwet Award
On 29 March Stéphanie van der Pas receives the Willem R. van Zwet Award during the Annual Meeting of the Netherlands Society of Statistics and Operations Research.
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Learning better from data: Rianne de Heide wins prestigious award for her dissertation
How can humans and computers learn from data? To research this, scientists often use so-called Bayesian methods. Although these methods are widely used, they also have limitations and are not always easy to interpret. In her dissertation Rianne de Heide describes some of these problems and introduces…
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Mathematics, medicine and teaching
Mathematician Stéphanie van der Pas, winner of the C.J. Kok Jury Award for her PhD thesis in 2017, divides her time between research and education, and between pure mathematics and practical application.
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Peter Grünwald and Johannes Schmidt-Hieber win NWO Top awards
Peter Grünwald and Johannes Schmidt-Hieber, both statisticians in the Mathematical Institute, were awarded grants from the Netherlands Science Foundation NWO. The Top awards are for curiosity-driven research of
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Big data cannot do without statistics
Data science and statistics are closely linked, says Spinoza laureate and Stochastics professor Aad van der Vaart. We talk with him about the big data hype, genome research and collaboration with other disciplines. ‘Statistics helps wherever data is not perfect.’
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PhD candidate, Robustness Verification for Meta-learned Neural Networks
Wiskunde en Natuurwetenschappen, Leiden Institute of Advanced Computer Science (LIACS)
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4 year PhD Position in Cognitive Psychology
Sociale Wetenschappen, Psychologie
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Statistician Aad van der Vaart Knight in the Order of the Dutch Lion
During a symposium in honour of his 60th birthday, statistician Aad van der Vaart received the royal award of Knight in the Order of the Lion of the Netherlands. Colleagues talk about his significance for their field and how they got to know him. ‘The collaborations with Aad have been one of the great…
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Stéphanie van der Pas wins the Leiden University Thesis Awards 2014
Stéphanie van der Pas won the Leiden University Thesis Awards 2014 with her thesis
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Stéphanie van der Pas wins ASML Graduation Prize Mathematics for analysis new research method
On November 29, Stéphanie van der Pas receives the ASML Graduation Prize for Mathematics at the Royal Holland Society of Sciences (KHMW) in Haarlem. She proved that a new method to choose a research model works better than the usual standard method.
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Quantitative paleodietary reconstruction with complex foodwebs: An isotopic case study from the Caribbean
William Pestle and Jason Laffoon recently published a new article entitled 'Quantitative paleodietary reconstruction with complex foodwebs: An isotopic case study from the Caribbean' in the Journal of Archaeological Science: Reports.
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This Week’s Discoveries | 4 October 2016
Lezing
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Stéphanie van der Pas wins C.J. Kok Jury Award for the best doctoral thesis of 2017
The jury of the C.J. Kok Award selected Stéphanie van der Pas' dissertation as the Faculty of Science's best dissertation of 2017. This was announced by rector Carel Stolker during the faculty’s New Year's reception on 9 January.
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Rubicon grant for four Leiden researchers
Four promising young researchers from Leiden University have received a Rubicon grant from the Dutch Research Council (NWO). This grant will enable them to gain valuable research experience at top universities abroad.