7th ANNUAL EUROPEAN SEMINAR ON BAYESIAN ECONOMETRICS

ESOBE 2016

Venice, Italy 27 - 28 October 2016

The workshop is organised by the Department of Economics of the *University Ca’ Foscari of Venice*, and is co-sponsored by the *European Central Bank*, the *Central Bank of Italy*, the *International Association for Applied Econometrics* and *GRETA Associati*.

The ESOBE meetings aim at bringing together researchers and professionals interested in the application of Bayesian inference. Ever since the pioneering work of Arnold Zellner, Bayesian econometrics has expanded enormously in areas such as economics, finance, business, and marketing. The computational revolution in simulation techniques is a key ingredient in this expansion and allows the application of Bayesian methods to increasingly complex models and high-dimensional data environments. The ESOBE 2016 conference intends to discuss about research and application in the following *areas*: - Bayesian financial econometrics - Bayesian microeconometrics and program evaluation - Bayesian nonparametric - Shrinkage estimation and variable selection in high dimensions - Computational methods for large datasets - Efficient MCMC and SMC methods for complex models

The *keynote speakers *of ESOBE 2016 are: - Christian P. Robert (University Paris Dauphine and University of Warwick) - Ulrich K. Mueller (Princeton University) - Thomas J. Sargent (New York University)

The *Scientific Committee* consists of: - Monica Billio (Ca’ Foscari University of Venice) - Fabio Canova (BI Norwegian Business School) - Roberto Casarin (Ca’ Foscari University of Venice) - Sylvia Fruehwirth-Schnatter (Wirtschaftsuniversität Wien) - Sylvia Kaufmann (Study Center Gerzensee) - Gary Koop (Strathclyde Business School) - Francesco Ravazzolo (Free University of Bozen/Bolzano) - Herman K. van Dijk (Erasmus University Rotterdam and VU University Amsterdam)

More detailed information available on the Conference *website*:

http://virgo.unive.it/esobe2016/index.htm

(* Apologies for post-crossing)