32 zoekresultaten voor “bayesian” in de Publieke website
-
Bayesian Inference for Gaussian Models
This dissertation studies the Asymptotics of Bayesian nonparametric inference for Gaussian linear models.
-
Bayesian learning: challenges, limitations and pragmatics
This dissertation is about Bayesian learning from data. How can humans and computers learn from data?
-
Nonparametric Bayesian Methods in Robotic Vision
Promotie
-
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.
-
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.
-
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).
-
Bayes and Networks
Promotor: A.W. van der Vaart
-
Credible sets in nonparametric regression
Promotor: Prof.dr. A.W. van der Vaart
-
Current challenges in statistical DNA evidence evaluation
Promotor: R.D. Gill, F. Taroni
-
Better Predictions when Models are Wrong or Underspecified
Promotor: P.D. Grünwald
-
Topics in mathematical and applied statistics
Promotor: A.W. van der Vaart
-
Bayesian Inference for Gaussian Models
Promotie
-
Bayesian learning: challenges, limitations and pragmatics
Promotie
-
Phylogeny and species delimitation within the moss genus Dicranum Hedw.
Promotor: Prof.dr. E. Smets, M. Stech
-
Major transitions in evolution: a Bayesian phylogenetic approach
Lezing
-
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.
-
A search for transient reductions in the speed of sound of the inflaton in cosmological data, and other topics
Promotor: Prof.dr. A. Achucarro
-
Multi-Objective Bayesian Global Optimization for Continuous Problems and Applications
Promotie
-
8th LCDS meeting: Statistics & Data Science
Congres/symposium
-
8th LCDS meeting: data science goes back to its roots
How are data science and statistics related? And what can data scientists learn from statisticians? These were the central questions of the 8th meeting of the Leiden Centre of Data Science (LCDS), which took place on Friday, November 13th. Recent developments in the field of statistics, including new…
-
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.
-
This Week’s Discoveries | 4 October 2016
Lezing
-
This Week’s Discoveries | 9 Mei 2017
Lezing
-
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…
-
This Week’s Discoveries | 20 November 2018
Lezing
-
SAILS Lunch Time Seminar: AI in Criminal Law
Lezing
-
SAILS Lunch Time Seminar: A few simple rules for prediction
Lezing
-
Florence Nightingale Colloquium presents Ozan Öktem
Lezing
-
This Week’s Discoveries | 19 March 2019
Lezing
-
Statisticus Aad van der Vaart Ridder in de Orde van de Nederlandse Leeuw
Tijdens een symposium ter ere van zijn 60ste verjaardag ontving statisticus Aad van der Vaart de koninklijke onderscheiding Ridder in de Orde van de Nederlandse Leeuw. Collega’s vertellen over zijn betekenis voor de statistiek en over hoe zij hem leerden kennen. ‘De samenwerking met Aad hoort tot de…
-
Big data kan niet zonder statistiek
Data science en statistiek zijn nauw met elkaar verbonden, zegt Spinozawinnaar en hoogleraar Stochastiek Aad van der Vaart. We praten met hem over de big data-hype, genoomonderzoek en samenwerking met andere vakgebieden. ‘Statistiek helpt overal waar data niet perfect is.’
-
Florence Nightingale Colloquium presents Peter Grünwald - webinar
Lezing