In this paper we explore the application of structured additive distributional regression for the analysis of conditional income distributions in Germany following the reunification. Using a bootstrapped Kolmogorov-Smirnov test we find that conditional personal income distributions can generally be modelled using the three parameter Dagum distribution. Additionally our results hint at an even m...

E. D. CLARKE*, L. B. SPEAR†, M. L. MCCRACKEN‡, F. F. C. MARQUES*, D. L. BORCHERS*, S. T. BUCKLAND* and D. G. AINLEY† * Centre for Research into Ecological and Environmental Modelling, University of St Andrews, The Observatory, Buchanan Gardens, Fife KY16 9LZ, UK; † H.T. Harvey & Associates Ecological Consultants, 3150 Almaden Expwy, Suite 145, San Jose, CA 95118, USA; and ‡ National Marine Fish...

In this paper we investigate new methods to build and evaluate interpretable predictive models for time series data using symbolic regression and generalized additive models. We propose a novel framework to iteratively build a model while maintaining model interprebility as accuracy and complexity increase. We also propose multiple methods that ease interpretation of the built model, the model ...

We formulate linear dimensionality reduction as a semi-parametric estimation problem, enabling us to study its asymptotic behavior. We generalize the problem beyond additive Gaussian noise to (unknown) nonGaussian additive noise, and to unbiased non-additive models.

in this paper, the performance of a natural gas hcci engine is studied through a thermodynamic model including detailed chemical kinetics. it is shown that as hydroxyl radical has important effects on natural gas combustion, it is possible to quantify soc with hydroxyl concentration variations. meanwhile the influence of using formaldehyde as an additive on the engine characteristics has been i...

This preliminary study investigates whether, and to what extent, conceptual combination is conveyed by vision. Working with noun-noun compounds we show that, for some cases, the composed visual vector built with a simple additive model is effective in approximating the visual vector representing the complex concept.

Jim Ray has set out a challenge to students of international conflict: how can we improve our research to do better in the cumulation of knowledge and understanding of international phenomena? While most of the commentary in this special issue revolves about more technical statistical issues, the questions that Ray raises must also be addressed not just on statistical/methods grounds, but withi...