Linda L. Griffin

Jean-François Richard

Jean-Francis Gréhaigne

Written as a resource for both pre-service and in-service educators, this theory-to-practice book focuses on the foundations and applications of constructivism applied to the teaching and learning of invasion sports and games.

Teaching and Learning Team Sports and Games

Luc Bauwens

Michel Lubrano

This book contains an up-to-date coverage of the last twenty years advances in Bayesian inference in econometrics, with an emphasis on dynamic models. It shows how to treat Bayesian inference in non linear models, by integrating the useful developments of numerical integration techniques based on simulations (such as Markov Chain Monte Carlo methods), and the long available analytical results of Bayesian inference for linear regression models. It thus covers a broad range of rather recent models for economic time series, such as non linear models, autoregressive conditional heteroskedastic regressions, and cointegrated vector autoregressive models. It contains also an extensive chapter on unit root inference from the Bayesian viewpoint. Several examples illustrate the methods.

Jean-François Richard

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