Events

Display events on your blog.

DEVI Seminar – Pierre-Cyril Aubin-Frankowski (Mines ParisTech)

08/10/2020 @ 10h30 – 11h30 – State-constrained Linear-Quadratic Optimal Control as a Kernel Regression with Hard Shape Constraints Abstract Regression problems in control or machine learning typically involve shape constraints, such as positivity or monotonicity on a prescribed compact set. Such constraints stem from qualitative priors or physical constraints, and can often be written as an infinite number of pointwise inequalities. […]

DEVI Seminar – Ricardo Flores-Fillol (Universitat Rovira i Virgili, Tarragona, Spain)

24/09/2020 @ 10h30 – 11h30 – Market structure and quality determination for complementary products: Alliances and service quality in the airline industry (with Jan K. Brueckner) Abstract This paper explores the effect of market structure on quality determination for complementary products. The focus is on the airline industry and the effect of airline alliances on flight frequency, an important element of […]

DEVI Seminar – Isabelle Laplace & Pascal Lezaud (ENAC)

10/09/2020 @ 10h30 – 11h30 – Environmental challenges and the future of air transport (the seminar will be given in French) Abstract The federation’s ESTEAM group has written a white paper on the future of air transport in light of environmental challenges. The purpose of the seminar is to present a few of the points that are covered in this white […]

Webinar DEVI – Tat-Dat To (ENAC)

25/06/2020 @ 10h30 – 11h30 – A modification of quasi-Newton’s methods helping to avoid saddle points Résumé: We propose a new modification of quasi-Newton’s methods, namely New Q-Newton’s method. The main idea is to approximate the Hessian matrix by a invertible (not necessarily positive definite) symmetric matrix, then update the Newton step by the difference of the projections of the standard […]

DEVI Seminar – Alix Rigal (ENAC)

27/02/2020 @ 10h30 – 11h30 – Evolution of daily temperature due to global change Abstract We consider the problem of estimating non-stationary temperature normals (the mean), at a daily timescale, which take into account deformations due to the global change of the annual cycle. In a second step, we consider not only the mean, but the whole distribution. Thus, we will […]

DEVI Seminar – Anne Ruiz-Gazen (Toulouse School of Economics)

23/01/2020 @ 10h30 – 11h30 – Multivariate Student versus Multivariate Gaussian Regression Models with Applications to Finance and Political Economy Abstract For modeling multivariate possibly heavy-tailed data, we compare the multivariate normal regression model (N) with two versions of the multivariate Student regression model: the independent multivariate Student (IT) and the uncorrelated multivariate Student (UT). We recall some facts about these […]

DEVI Seminar- Stéphane Puechmorel (ENAC)

12/12/2019 @ 10h30 – 11h30 – Foliation of statistical manifold Summary: A statistical manifold is formally a Riemannian manifold with two dual connections. This abstract object appears naturally when we study parameterized families of densities and formalize some common estimation procedures. In this paper we will address as intuitively as possible the structural questions relating to statistical manifolds and in particular […]

Séminaire DEVI – Cherie Lu (Chang Jung Christian University, Tainan, Taiwan)

21/11/2019 @ 10h30 – 11h30 – When will biofuels be economically feasible for commercial flights? Abstract This paper evaluates the financial outlays and environmental costs of using biofuel and traditional aviation fuel for selected flight routes. Cost-benefit analysis and the dose-response method were applied for evaluating the financial and environmental costs of both biofuels and traditional fuel. Selected flight routes originating […]

DEVI Seminar- Agnès Lagnoux (IMT Toulouse)

24/10/2019 @ 10h30 – 11h30 – On the Estimation of Covariance Parameters of Gaussian Processes Summary: Because of their simplicity and flexibility, which make it possible to encapsulate a large class of models, Gaussian processes have become very popular in recent years, and are widely used in spatial statistics to interpolate observations and propose meta-models (for example, in kriging). Gaussian processes […]