Macro Lunch - Gert Peersman
Gert Peersman
(Ghent University)
will give a presentation on
(Ghent University)
will give a presentation on
March 13, 2018
4:30 PM
CORE, b-135
The talk presents a set of power investment models, the class of risky capacity equilibrium problems, reflecting different assumptions of perfect and imperfect markets. The models are structured in a unified stochastic Nash game framework. Each model is the concatenation of a model of the short-term market operations (perfect competition or Cournot), with a long-term model of investment behavior (risk neutral and risk averse behavior under different assumptions of risk trading).
March 20, 2018
4:30 PM
CORE, b-135
March 06, 2018
4:30 PM
CORE, b-135
February 27, 2018
4:30 PM
CORE, b-135
Supervised learning for classification of visual data has been the major approach during the last two decades. With adventure of GPUs, the well-known supervised classifiers such as Artificial Neural Networks (ANN) came up for these problems.
May 29, 2018
4:30 PM
CORE, room b-135
February 13, 2018
4:30 PM
CORE, b-135
March 06, 2018
14 hours on 4 days (6/03 - 7/03 - 12/03 - 14/03)
Louvain-la-Neuve
ISBA - C115 and C319
February 16, 2018
14:30
Louvain-la-Neuve
ISBA - C115 (Seminar Room Bernoulli)
Abstract:
We propose new test statistics based on lasso to test a null-hypothesis in generalized linear models. We show that under $H_0$ the test statistics are pivotal in the Gaussian case and asymptotically pivotal otherwise in the exponential family. With these new tests, the level is closer to the nominal level and the power is higher than existing tests in low and high dimension as well as for sparse and dense alternative hypotheses.
February 15, 2018
8 hours on 2 days (15/02 - 16/02)
Louvain-la-Neuve
ISBA - C115 (Seminar Room Bernoulli) and C045 (Salle Gauss)