Imperial College London

ProfessorDavidVan Dyk

Faculty of Natural SciencesDepartment of Mathematics

Head of Department of Mathematics, Chair in Statistics
 
 
 
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Contact

 

+44 (0)20 7594 8574d.van-dyk Website

 
 
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Assistant

 

Mr David Whittaker +44 (0)20 7594 8481

 
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Location

 

644Huxley BuildingSouth Kensington Campus

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Summary

 

Guest Lectures

TBD, The Ninth ICSA International Conference: Challenges of Statistical Methods for Interdisciplinary Research and Big Data,, Hong Kong, 2013

TBD (Key note), Applied Statistics 2013, Slovenia, 2013

Late Breaking Session on the Discovery of the Higgs Boson, The 59th World Statistics Congress, Hong Kong, 2013

Accounting for Calibration Uncertainty in Spectral Analysis, The 59th World Statistics Congress, Hong Kong, 2013

TBD (key note), UK Young Statisticians Meeting, London, 2013

Embedding Astro- nomical Computer Models into Principled Statistical Analyses., University of Nottingham, 2013

Accounting for Calibration Uncertainty in Spectral Analysis., The The Eighth IACHEC Meeting, UK, 2013

Embedding Astro- nomical Computer Models into Principled Statistical Analyses., Oxford University, 2013

A Bayesian’s Perspective on Model Checking, Improve- ment, and Selection with Illustrations from Source Detection in Astronomy, CERN, Switzerland, 2013

Causal Inference in Observational Studies with Non-Binary Treatments, London School of Economics, London, 2013

Calibration Uncertainty in High Energy Astrophysics: A Doubly Pragmatic Solution for a Doubly Intractable Distribution, ISBA Regional Meetings & International Workshop on Bayesian Theory and Applicatins, Varanasi, India, 2013

Calibration Uncertainty in High Energy Astro- physics: A Doubly Pragmatic Solution for a Doubly Intractable Distribution., Eighth International Triennial Calcutta Symposium on Probability and Statistics, Calcutta, India, 2012

Embedding Astronomical Computer Models into Principled Statistical Analyses, University of Glasgow, Scotland, 2012

Combining Computer Models for Stellar Evolution: From Sun-Like Stars to White Dwarf Cinders., 2013 Joint Statistical Meetings, San Diego, CA, 2012

Embedding Astronomical Computer Models into Principled Statistical Analyses., Southampton University, UK, 2012

Metropolis Hastings within Partially Collapsed Gibbs Samplers, ICMS Workshop on Advances in Markov Chain Monte Carlo: Theory, Methodol- ogy, and Applications, Edinburgh, Scotland, 2012

Accounting for Calibration Uncertainty in High Energy Astrophysics, Royal Society Meeting on Signal Processing and Physical Science, Kavli Royal Society International Centre, Buckinghamshire, UK, 2012

Computation Challenges Posed by Highly-Structured Models and Computer Models in Astrophysics, Workshop on Challenges and Advances in High Dimensional and High Complex- ity Monte Carlo Computation and Theory, Banff International Research Station, Canada, 2012

Accounting for Calibra- tion Uncertainty in High Energy Astrophysics via the Partially Collapsed Gibbs Samplers with MH updates, Imperial College London, London, 2012

Embedding Astronomical Computer Models into Complex Statistical Models, UCLA, Los Angeles, California, 2012

Embedding Astronomical Computer Models into Complex Statistical Models, University of Technology, Sydney, Australia, 2012

Embedding Astronomical Computer Models into Complex Statistical Models, Chinese University of Hong Kong, Hong Kong, 2012

Statistical Learning Challenges in As- tronomy and Solar Physics, Workshop on Current Challenges in Statistical Learning, Banff International Re- search Station, Canada, 2011

Embedding Astronomical Computer Models into Complex Statistical Models, University College London, London, UK, 2011

Future Directions of Astrostatistics, Statistical Challenges in Modern Astronomy V, State College, PA, USA, 2011

Discussion of Cosmological Bayesian Model Selection: Recent Advances and Open Challenges by R. Trotta, Statistical Challenges in Modern Astronomy V, College Station, PA, USA, 2011

Metropolis Hastings within Partially Collapsed Gibbs Samplers, Information Theory and Applications Workshop, San Diego, CA, 2011

A Statistician’s Approach to Setting Upper Limits, Computing Intervals, and Detection, PHYSTAT 2011, CERN, Geneva, Switzerland, 2011

Embedding Computer Models for Stellar Evolution into a Coher- ent Statistical Analysis., Royal Astronomical Society, An RAS Specialist Discussion Meeting, “Novel Meth- ods for the Exploitation of Large Astronomical and Cosmological Data Sets”, London, UK, 2010

Statistical Analysis of Stellar Evolution, UCLA, Los Angeles, CA, 2010

Summary of Statistical Issues Discussed in the Workshop, Workshop on Statistical Issues Relevant to Significance of Discovery Claims, Banff International Research Station, Canada, 2010

Upper Limits, Workshop on Statistical Issues Relevant to Significance of Discovery Claims, Banff International Research Station, Canada, 2010

Statistical Analysis of Stellar Evolution, University of California, Riverside, Riverside, CA, USA, 2010

Statistical Analysis of Stellar Evolution, Eldgeno ̀ˆssische Technische Hochshule Zu ̀ˆrich, Zurich, Switzerland, 2010

Statistical Analysis of Stellar Evolution, Chinese University Hong Kong, Hong Kong, 2010

Statistical Analysis of Stellar Evolution, Hong Kong University of Science and Technology, Hong Kong, 2010

Statistical Analysis of Stellar Evolution, University of Hong Kong, Hong Kong, 2010

Statistical Analysis of Stellar Evolution, Carnegie Mellon University, Pittsburgh, PA, 2009

Coherent Statisti- cal Calibration of High-Energy Photon Detectors, JSM 2009, Washington, DC, 2009

Statistical Analysis of Stellar Evolution, Biometric Society WNAR Meeting, Portland, OR, 2009

Statistical Analysis of Stellar Evolution, Columbia University, New York, NY, 2009

Partially Col- lapsed Gibbs Samplers with Applications in High-Energy Astrophysics, Ohio State University, Columbus, Ohio, 2009

Statistical Analysis of Stellar Evolution, Ohio State University, Columbus, Ohio, 2009

Statistical Analysis of Stellar Evolution., Univeristy of Washington, Seattle, WA, 2009

Partially Collapsed Gibbs Samplers with Ap- plications in High-Energy Astrophysics, World Conference of the International Association for Statistical Computing, Yokohama, Japan, 2008

Statistical Analysis of Stellar Evolution, JSM 2008, Denver, CO, 2008

Statistical Analysis of Stellar Evolution, The Seventh World Congress in Probability and Statistics, Singapore, 2008

Statistical Analysis of Stellar Evolution, Calibration and Validation of Complex Computer Models: Bayesian Approaches, Bayesian Solutions, Satellite Workshop to the Ninth International Society for Bayesian Analysis World Meeting, Sydney, Austrailia, 2008

Spectral Analysis of Faint Astronomical Objects: Bayesian Modeling, Computation, and Inference, RAND, Santa Monica, CA, 2008

Spectral Analysis of Faint Astronomical Objects: Bayesian Modeling, Computa- tion, and Inference, University of Illinois, Urbana-Champaign, Urbana, Illinois, 2008

Statistics: Handle with Care, Tenth High Energy Astrophysics Division Meetings, Los Angeles, CA, 2008

Embedding Astronomical Computer Models into Complex Statistical Models, University of New South Wales, Sydney, Australia

Embedding Astronomical Computer Models into Complex Statistical Models, University of Bristol, Bristol, UK

Embedding Astronomical Computer Models into Complex Statistical Models, Workshop on Statistical Methods for Astronomy and Astrophysics, Univeristy of California, Davis, USA

Accounting for Calibration Uncertainty in High Energy Astrophysics via the Partially Collapsed Gibbs Samplers with MH updates., University of California, Berkeley, Berkeley, CA

Research Student Supervision

DeGennaro,S, White Dwarfs and the Ages of Stellar Populations

Esch,D, Applications and Extensions of Three Statistical Models

Hans,C, Accounting for Absorption Lines in Im- ages Obtained with the Chandra X-ray Observatory

Imai,K, Statistical Analysis of Field Experiments

Javaras,KN, Multiple Imputation for Incomplete Data with Semicontinuous Variables

Jiao,X

Jones,D

Kang,H, Markov Chain Monte Carlo Applications in Bioinformatics and Astrophysics

Park,T, Inference and Efficient Computation for Highly Structured Models with Applications

Pedroza,C, Bayesian Hierarchical Time Series Modeling of Mortality Rates

Protassov,R, n Application of Missing Data Methods: Testing for the Pres- ence of a Spectral Line in Astronomy and Parameter Estimation of the Generalized Hyperbolic Distribution

Stein,N

Stenning,D

Tang,R, Fitting and Evaluating Certain Two-Level Hierarchical Models,

Wang,L

Xu,J

Yu,Y, Three Contributions to Statistical Computing

Zhao,S