Conformal Predictive Distributions with Kernels

This paper reviews the checkered history of predictive distributions in statistics and discusses two developments, one from recent literature and the other new. The first development is bringing predictive distributions into machine learning, whose early development was so deeply influenced by two remarkable groups at the Institute of Automation and Remote Control. The second development is combining predictive distributions with kernel methods, which were originated by one of those groups, including Emmanuel Braverman.Comment: 20 pages, 3 figures, prepared for the Proceedings of the Braverman Readings (Boston, 28-30 April 2017

GeoXp: an R package for exploratory spatial data analysis

We present GeoXp, an R package implementing interactive graphics for exploratory spatial data analysis. We use data bases coming from the spdep package to illustrate the use of these exploratory techniques based on the coupling between a statistical graph and a map. Besides elementary plots like boxplots, histograms or simple scatterplots, GeoXp also couples maps with Moran scatterplots, variogram clouds, Lorenz curves, etc. In order to make the most of the multidimensionality of the data, GeoXp includes dimension reduction techniques such as principal components analysis and cluster analysis whose results are also linked to the map

Analysing Ambulatory Blood Pressure Monitoring Data with Multivariate Sliced Inverse Regression.

This paper proposes to use a semi parametric regression method, named Sliced Inverse Regression (SIR hereafter), to analyse ambulatory blood pressure monitoring data.ECONOMETRICS;EVALUATION;HEALTH;MATHEMATICS

Explaining the Pattern of Regional Unemployment: the Case of the Midi-Pyrenees Region.

Unemployment rates vary widely at the sub-regional level. We seek to explain why such variation occurs, using data for 174 districts in the Midi-Pyrenees region of France for 1990-91. A set of explanatory variables is derived from theory and the voluminous literature.REGIONAL DEVELOPMENT ; UNEMPLOYMENT