59 zoekresultaten voor “bayesian inference” in de Publieke website
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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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Bayes and Networks
Promotor: A.W. van der Vaart
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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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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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Credible sets in nonparametric regression
Promotor: Prof.dr. A.W. van der Vaart
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Bayesian Inference for Gaussian Models
Promotie
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Phylogeny and species delimitation within the moss genus Dicranum Hedw.
Promotor: Prof.dr. E. Smets, M. Stech
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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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in Investor-State Arbitration, Burden, Standards, Presumptions & Inferences
Op 28 februari 2019 verdedigde Kabir Duggal zijn proefschrift 'Principles of Evidence in Investor-State Arbitration, Burden, Standards, Presumptions & Inferences'. Het promotieonderzoek is begeleid door promotor prof. dr. E. De Brabandere.
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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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Playing dice with the Universe
The ultimate goal of cosmologists is to find a cosmological model able to explain the current observational data.
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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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Dancing with the Stars
This thesis develops a method for direction dependent calibration of the ionosphere in radio interferometric data.
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Robust rules for prediction and description.
In this work, we attempt to answer the question:
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Drie Leidse bètawetenschappers ontvangen TOP-subsidie van NWO
Drie onderzoekers van de Faculteit der Wiskunde en Natuurwetenschappen ontvangen een TOP-subsidie Exacte Wetenschappen. Dat maakte NWO op 22 november bekend.
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Frequentist properties of Bayesian procedures
Promotie
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Topics in mathematical and applied statistics
Promotor: A.W. van der Vaart
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Nonparametric Bayesian Methods in Robotic Vision
Promotie
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Bayesian learning: challenges, limitations and pragmatics
Promotie
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Major transitions in evolution: a Bayesian phylogenetic approach
Lezing
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Oxidative Stress in Chronic Diseases: Causal Inference from Observational Studies
Promotie
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Permutation-based inference for high-dimensional data
Promotie
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The galaxy–dark matter connection: a KiDS study
In this thesis, the research focuses on the properties of dark matter and dark matter haloes and how they connect with the galaxies we can observe in the Universe.
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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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information and variational Bayes in high dimensional statistical network inference
Promotie
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Methodological obstacles in causal inference: confounding, missing data, and measurement error
Promotie
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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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in Investor-State Arbitration, Burden, Standards, Presumptions, & Inferences
Promotie
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Causal Discovery from High-Dimensional Data in the Large-Sample Limit
Developing robust algorithms and theory for establishing cause-effect relationships from observational data that scale up to large data sets
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From data to models: reducing uncertainty in benefit risk assessment: application to chronic iron overload in children
Promotor: Prof.dr. M. Danhof, Co-promotor: O.E. Della Pasqua
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MULTIPLY - MULTIscale SENTINEL land surface information retrieval Platform
Aim: To develop and enable application of a practical, flexible, user-friendly platform to provide the scientific community with a tool to generate land surface products and its associated uncertainties and exploit these for data-intensive science.
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PhD Candidate, Interpretable causal machine learning for intervention development from wearable sensors data
Wiskunde en Natuurwetenschappen, Leiden Institute of Advanced Computer Science (LIACS)
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Drie publicaties dr. I. van Ooijen, afdeling Bedrijfswetenschappen
In twee van de drie recente publicaties onderstreept Iris van Ooijen (Bedrijfswetenschappen) samen met collega’s van de Universiteit van Amsterdam de belangrijke rol van impliciete en heuristische informatie in de totstandkoming van informatieverwerking door consumenten. Deze bevindingen weerleggen…
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Playing dice with the Universe
Promotie
- Postdoc position in Psycholinguistics
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Beter leren van data: Rianne de Heide wint prestigieuze prijs voor haar proefschrift
Hoe kunnen mensen en computers leren van data? Om dat te onderzoeken gebruiken wetenschappers vaak zogeheten Bayesiaanse methodes. Hoewel deze methodes veelgebruikt zijn, hebben ze ook beperkingen en zijn ze niet altijd goed te interpreteren. Rianne de Heide beschrijft in haar proefschrift een aantal…
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Survival Analysis for Junior Researchers 2018
Survival Analysis for Junior Researchers 2018 werd georganiseerd in Leiden.
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Astronoom Adrian Hamers ontvangt Christiaan Huygens wetenschapsprijs voor proefschrift
Astronoom Adrian Hamers heeft uit handen van Marjan Hammersma, secretaris-generaal van het ministerie van OCW, de Christiaan Huygens wetenschapsprijs voor ruimtewetenschappen ontvangen. Hamers krijgt de prijs voor het onderzoek waarop hij in 2016 is gepromoveerd aan de Sterrewacht Leiden.
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(Sh)it happens! Ook bij faillissementen
Bij de afwikkeling van faillissementen is de rol van de curator soms te groot. Dat betoogt prof.mr. Reinout Vriesendorp tijdens zijn oratie op 24 juni.
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ERC-grant voor statistiek in grote, rommelige datasets
De statistiek van grote datasets, zoals in de genetica en bij medische scans, is nog volop in ontwikkeling. Hoe haal je de beste informatie uit zulke rommelige data? Wat zijn reële foutmarges? Hoogleraar stochastiek Aad van der Vaart krijgt van Europa een ERC Advanced Grant om dit verder uit te zoek…
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The Galaxy–Dark Matter Connection: A KiDS Study
Promotie
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Joan van der Waals colloquium
Lezing
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SAILS Lunch Time Seminar: A few simple rules for prediction
Lezing
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SAILS Lunch Time Seminar: AI in Criminal Law
Lezing
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This Week’s Discoveries | 20 November 2018
Lezing
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CANCELLED: Florence Nightingale Colloquium presents Max Welling
Lezing, Lunch included
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Florence Nightingale Colloquium presents Ozan Öktem
Lezing