Imperial College London

ProfessorDavidHand

Faculty of Natural SciencesDepartment of Mathematics

Senior Research Investigator
 
 
 
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Contact

 

+44 (0)20 7594 2843d.j.hand CV

 
 
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Assistant

 

Mrs Agnieszka Damasiewicz Niccolai +44 (0)20 7594 2843

 
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Location

 

547Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Publication Type
Year
to

292 results found

Henrion M, Hand DJ, Gandy A, Mortlock DJet al., 2013, CASOS: a Subspace Method for Anomaly Detection in High Dimensional Astronomical Databases, STATISTICAL ANALYSIS AND DATA MINING, Vol: 6, Pages: 53-72, ISSN: 1932-1864

Journal article

Hand DJ, Anagnostopoulos C, 2013, When is the area under the receiver operating characteristic curve an appropriate measure of classifier performance?, Pattern Recognition Letters, Vol: 34, Pages: 492-495

Journal article

Hand DJ, 2012, Statistical Concepts: A Second Course, 4th edition, INTERNATIONAL STATISTICAL REVIEW, Vol: 80, Pages: 491-491, ISSN: 0306-7734

Journal article

Ross GJ, Adams NM, Tasoulis DK, Hand DJet al., 2012, Exponentially weighted moving average charts for detecting concept drift (vol 33, pg 191, 2012), PATTERN RECOGNITION LETTERS, Vol: 33, Pages: 2261-2261, ISSN: 0167-8655

Journal article

Hand DJ, 2012, An Introduction to Statistical Concepts, 3rd edition, INTERNATIONAL STATISTICAL REVIEW, Vol: 80, Pages: 489-491, ISSN: 0306-7734

Journal article

Hand DJ, 2012, Assessing the Performance of Classification Methods, INTERNATIONAL STATISTICAL REVIEW, Vol: 80, Pages: 400-414, ISSN: 0306-7734

Journal article

Pavlidis NG, Tasoulis DK, Adams NM, Hand DJet al., 2012, Adaptive consumer credit classification, JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, Vol: 63, Pages: 1645-1654, ISSN: 0160-5682

Journal article

Hand DJ, 2012, Credit scoring, insurance and discrimination, Statistics, Science and Public Policy XVI, Editors: Herzberg, Pages: 85-90, ISBN: 9781553393825

Book chapter

Ross GJ, Adams NM, Tasoulis DK, Hand DJet al., 2012, Exponentially weighted moving average charts for detecting concept drift, PATTERN RECOGNITION LETTERS, Vol: 33, Pages: 191-198, ISSN: 0167-8655

Journal article

Hand DJ, Crowder MJ, 2012, Overcoming selectivity bias in evaluating new fraud detection systems for revolving credit operations, INTERNATIONAL JOURNAL OF FORECASTING, Vol: 28, Pages: 216-223, ISSN: 0169-2070

Journal article

Bentham J, Hand DJ, 2012, Data mining from a patient safety database: the lessons learned, DATA MINING AND KNOWLEDGE DISCOVERY, Vol: 24, Pages: 195-217, ISSN: 1384-5810

Journal article

Hand DJ, 2011, The Best Writing on Mathematics 2011, The Best Writing on Mathematics 2011, Editors: Pitici, Publisher: Princeton University Press, Pages: 67-74, ISBN: 9781400839544

This book belongs on the shelf of anyone interested in where math has taken us--and where it is headed.

Book chapter

Hand DJ, 2011, Bayesian Ideas and Data Analysis: An Introduction for Scientists and Statisticians by Ronald Christensen, Wesley Johnson, Adam Branscum, Timothy E. Hanson, International Statistical Review, Vol: 79, Pages: 285-286

Journal article

Hand DJ, 2011, Introduction to Psychometric Theory by Tenko Raykov, George A. Marcoulides, International Statistical Review, Vol: 79, Pages: 298-299

Journal article

Hand DJ, 2011, Linear Causal Modeling with Structural Equations by Stanley A. Mulaik, International Statistical Review, Vol: 79, Pages: 299-300

Journal article

Hand DJ, 2011, Measurements and their Uncertainties: A Practical Guide to Modern Error Analysis by Ifan G. Hughes, Thomas P. A. Hase, International Statistical Review, Vol: 79, Pages: 280-280

Journal article

Hand DJ, 2011, Logistic Regression Models by Joseph M. Hilbe, International Statistical Review, Vol: 79, Pages: 287-288

Journal article

Hand DJ, 2011, Simultaneous Inference in Regression by Wei Liu, International Statistical Review, Vol: 79, Pages: 288-289

Journal article

Hand DJ, Kalton G, 2011, Discussion of "Bayesian Models and Methods in Public Policy and Government Settings" by S. E. Fienberg, STATISTICAL SCIENCE, Vol: 26, Pages: 227-234, ISSN: 0883-4237

Journal article

Henrion M, Mortlock DJ, Hand DJ, Gandy Aet al., 2011, A Bayesian approach to star-galaxy classification, Monthly Notices of the Royal Astronomical Society, Vol: 412, Pages: 2286-2302, ISSN: 0035-8711

Star–galaxy classification is one of the most fundamental data-processing tasks in survey astronomy and a critical starting point for the scientific exploitation of survey data. Star–galaxy classification for bright sources can be done with almost complete reliability, but for the numerous sources close to a survey’s detection limit each image encodes only limited morphological information about the source. In this regime, from which many of the new scientific discoveries are likely to come, it is vital to utilize all the available information about a source, both from multiple measurements and from prior knowledge about the star and galaxy populations. This also makes it clear that it is more useful and realistic to provide classification probabilities than decisive classifications. All these desiderata can be met by adopting a Bayesian approach to star–galaxy classification, and we develop a very general formalism for doing so. An immediate implication of applying Bayes’s theorem to this problem is that it is formally impossible to combine morphological measurements in different bands without using colour information as well; however, we develop several approximations that disregard colour information as much as possible. The resultant scheme is applied to data from the UKIRT Infrared Deep Sky Survey (UKIDSS) and tested by comparing the results to deep Sloan Digital Sky Survey (SDSS) Stripe 82 measurements of the same sources. The Bayesian classification probabilities obtained from the UKIDSS data agree well with the deep SDSS classifications both overall (a mismatch rate of 0.022 compared to 0.044 for the UKIDSS pipeline classifier) and close to the UKIDSS detection limit (a mismatch rate of 0.068 compared to 0.075 for the UKIDSS pipeline classifier). The Bayesian formalism developed here can be applied to improve the reliability of any star–galaxy classification schemes based on the measured values of morphology statistics alo

Journal article

Hand DJ, 2011, Statistical Inference: An Integrated Bayesian/Likelihood Approach by Murray Aitkin, International Statistical Review, Vol: 79, Pages: 121-121

Journal article

Hand DJ, 2011, Charming Proofs: A Journey into Elegant Mathematics by Claudi Alsina, Roger B. Nelsen, International Statistical Review, Vol: 79, Pages: 122-122

Journal article

Hand DJ, 2011, Diagnostic Measurement: Theory, Methods, and Applications by André A. Rupp, Jonathan Templin, Robert A. Henson, International Statistical Review, Vol: 79, Pages: 135-136

Journal article

Brentnall AR, Crowder MJ, Hand DJ, 2011, Approximate repeated-measures shrinkage, COMPUTATIONAL STATISTICS & DATA ANALYSIS, Vol: 55, Pages: 1150-1159, ISSN: 0167-9473

Journal article

Pavlidis NG, Tasoulis DK, Adams NM, Hand DJet al., 2011, lambda-Perceptron: An adaptive classifier for data streams, PATTERN RECOGNITION, Vol: 44, Pages: 78-96, ISSN: 0031-3203

Journal article

Krzanowski WJ, Hand DJ, 2011, Testing the difference between two Kolmogorov-Smirnov values in the context of receiver operating characteristic curves, JOURNAL OF APPLIED STATISTICS, Vol: 38, Pages: 437-450, ISSN: 0266-4763

Journal article

Hand DJ, 2010, The Oxford Handbook of Applied Bayesian Analysis edited by Anthony O’Hagan, Mike West, International Statistical Review, Vol: 78, Pages: 474-475

Journal article

Hand DJ, 2010, Modeling and Analysis of Stochastic Systems, Second Edition by Vidyadhar G. Kulkarni, International Statistical Review, Vol: 78, Pages: 467-467

Journal article

Hand DJ, 2010, Theory of Stochastic Processes: With Applications to Financial Mathematics and Risk Theory by Dmytro Gusak, Alexander Kukush, Alexey Kulik, Yuliya Mishura, Andrey Pilipenko, International Statistical Review, Vol: 78, Pages: 461-461

Journal article

Hand DJ, 2010, Econophysics and Companies: Statistical Life and Death in Complex Business Networks by Hideaki Aoyama, Yoshi Fujiwara, Yuichi Ikeda, Hiroshi Iyetomi, Wataru Souma, International Statistical Review, Vol: 78, Pages: 445-445

Journal article

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