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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 […]

DEVI Seminar – Willy Rodríguez (ENAC)

10/10/2019 @ 10h30 – 11h30 – Mathematical models for the evolution of species in the era of genetic data Abstract: One of the aims of population genetics is to date and quantify major events that arrived during the evolution of species. The DNA sequencing techniques and the increasing amount of genomic data currently available are expanding the horizons of the field. Over the last […]

DEVI Seminar – Claudio Piga (Huddersfield University Business School)

26/09/2019 @ 10h30 – 11h30 – Linking Algorithms to Static and Dynamic pricing: theory and evidence Abstract: We show how the main features of a pricing algorithm  are shaped by organizational frictions, which impede continuous  price adjustments. In our theoretical multi-unit capacity, multi-period pricing model, frictions lead the algorithm to set prices for each unit, which remain constant during a “static pricing […]

DEVI Seminar – Tat-Dat Tô

12/09/2019 @ 10h30 – 11h30 – A deep learning approach for the shortest path search problem and some perspective applications. We propose a deep learning approach for shortest path search problem in which the shortest length can be learned via a deep Neuron Network. We also propose an algorithm which permit to run the A-star algorithm in real time for the […]