Advances in computation and the fast and cheap computational facilities now available to
statisticians have had a significant impact upon statistical research, and especially the …

Finite mixture models are being used increasingly to model a wide variety of random
phenomena for clustering, classification and density estimation. mclust is a powerful and …

Royuela V. and García GA Economic and social convergence in Colombia, Regional
Studies. Gross domestic product (GDP) has usually been used as a proxy for human well …

An Introduction to the Bootstrap arms scientists and engineers as well as statisticians with
the computational techniques they need to analyze and understand complicated data sets …

Clarifies modern data analysis through nonparametric density estimation for a complete
working knowledge of the theory and methods Featuring a thoroughly revised presentation …

Statistical pattern recognition is a very active area of study andresearch, which has seen
many advances in recent years. New andemerging applications-such as data mining, web …

New methodology for fully Bayesian mixture analysis is developed, making use of reversible
jump Markov chain Monte Carlo methods that are capable of jumping between the …

Not so long ago, multivariate analysis consisted solely of linear methods illustrated on small
to medium-sized data sets. Moreover, statistical computing meant primarily batch processing …

This paper studies cross-country patterns of economicgrowth from the viewpoint of income
distribution dynamics. Sucha perspective raises new empirical and theoretical issues …

Separation of signal from noise is the most fundamental problem in data analysis, and arises
in many fields, for example, signal processing, econometrics, acturial science, and …