Publications
Explore 572 academic publications
Some Aspects of the Spline Smoothing Approach to Non-Parametric Regression Curve Fitting
SUMMARY Non-parametric regression using cubic splines is an attractive, flexible and widely-applicable approach to curve estimation. Although the basic idea was formulated many ...
Training Very Deep Networks
Theoretical and empirical evidence indicates that the depth of neural networks is crucial for their success. However, training becomes more difficult as depth increases, and tra...
Multi-State Models for Panel Data: The<b>msm</b>Package for<i>R</i>
Panel data are observations of a continuous-time process at arbitrary times, for example, visits to a hospital to diagnose disease status. Multi-state models for such data are g...
Establishing rigour in qualitative research: the decision trail
The aim of this paper is to show the way in which the decision trail of a qualitative research process can be maintained. It is argued that the trustworthiness (rigour) of a stu...
Model Uncertainty, Data Mining and Statistical Inference
This paper takes a broad, pragmatic view of statistical inference to include all aspects of model formulation. The estimation of model parameters traditionally assumes that a mo...
An application of normal mode theory to the retrieval of structural parameters and source mechanisms from seismic spectra
A cyclic process of refining models of the mechanical structure of the Earth and models of the mechanism of one or more earthquakes is developed. The theory of the elastic-gravi...
Rape Trauma Syndrome
The authors interviewed and followed 146 patients admitted during a one-year period to the emergency ward of a city hospital with a presenting complaint of having been raped. Ba...
Network In Network
Abstract: We propose a novel deep network structure called In Network (NIN) to enhance model discriminability for local patches within the receptive field. The conventional con...
Recurrent Models of Visual Attention
Applying convolutional neural networks to large images is computationally expensive because the amount of computation scales linearly with the number of image pixels. We present...
Simulations of X-ray clusters
We present simulations of the formation and evolution of galaxy clusters in\nthe Cold Dark Matter cosmogony. Clusters with a wide range of mass were\nselected from previous N-bo...
The small world inside large metabolic networks
The metabolic network of the catabolic, energy and biosynthetic metabolism of Escherichia coli is a paradigmatic case for the large genetic and metabolic networks that functiona...