Events
Week of Events
Monday Lunch Seminars Dino Gerardi (Collegio Carlo Alberto)
Monday Lunch Seminars Dino Gerardi (Collegio Carlo Alberto)
"Dynamic Contracting with Limited Commitment and the Ratchet Effect"
Seminars in Economics Lukas Schmid (Duke University, Fuqua School of Business)
Seminars in Economics Lukas Schmid (Duke University, Fuqua School of Business)
"Competition, Markups and Predictable Returns"
Seminars in Politics and Society Rinke Bax (European Central Bank)
Seminars in Politics and Society Rinke Bax (European Central Bank)
"The European Central Bank’s role in the Single Supervisory Mechanism as part of the Banking Union" Abstract On 4 November 2014, the European Central Bank (ECB) took up its supervisory tasks as part of the Single Supervisory Mechanism (SSM). The presentation will focus on the ECB’s role in the SSM and the exercise of its supervisory…
Seminars in Economics of Innovation and Knowledge Mario Morroni (Università di Pisa)
Seminars in Economics of Innovation and Knowledge Mario Morroni (Università di Pisa)
"Georgescu-Roegen's flow-fund model and the economics of innovation" (at Dipartimento di Economia "S. Cognetti de Martiis")
Seminars in Statistics Luigi Malagò (Shinshu University, Japan)
Seminars in Statistics Luigi Malagò (Shinshu University, Japan)
Information geometry of the Gaussian distribution in view of stochastic optimization: first and second order geometry We study the optimization of a continuous function by its stochastic relaxation, i.e., the optimization of the expected value of the function itself with respect to a density in a statistical model. In the first part of the talk…
Seminars in Statistics Piotr Zwiernik (University of Genova)
Seminars in Statistics Piotr Zwiernik (University of Genova)
Maximum likelihood estimation for linear Gaussian covariance Models We study parameter estimation in linear Gaussian covariance models, which are p-dimensional Gaussian models with linear constraints on the covariance matrix. Maximum likelihood estimation for this class of models leads to a non-convex optimization problem which typically has many local optima. We prove that the log-likelihood function…