719 citations · 1.3k across the 7 of their papers we have counts for
9 papers
Trustworthiness of statistical inference
David J. Hand
We examine the role of trustworthiness and trust in statistical inference, arguing that it is the extent of trustworthiness in inferential statistical tools which enables trust in…
F*: An Interpretable Transformation of the F-measure
David J. Hand, Peter Christen, Nishadi Kirielle
The F-measure, also known as the F1-score, is widely used to assess the performance of classification algorithms. However, some researchers find it lacking in intuitive interpretat…
Wonderful Examples, but Let's not Close Our Eyes
David J. Hand
The papers in this collection are superb illustrations of the power of modern Bayesian methods. They give examples of problems which are well suited to being tackled using such met…
Exponentially Weighted Moving Average Charts for Detecting Concept Drift
Gordon J. Ross, Niall M. Adams, Dimitris K. Tasoulis +1
Classifying streaming data requires the development of methods which are computationally efficient and able to cope with changes in the underlying distribution of the stream, a phe…
A better Beta for the H measure of classification performance
David J. Hand, Christoforos Anagnostopoulos
The area under the ROC curve is widely used as a measure of performance of classification rules. However, it has recently been shown that the measure is fundamentally incoherent, i…
Discussion of "Bayesian Models and Methods in Public Policy and Government Settings" by S. E. Fienberg
David J. Hand
Fienberg convincingly demonstrates that Bayesian models and methods represent a powerful approach to squeezing illumination from data in public policy settings. However, no school…