This course is an introduction to quantitative risk management that covers standard statistical methods, multivariate risk factor models, non-linear dependence structures (copula models), as well as portfolio allocation and diversification.
Cette page est générée automatiquement et peut contenir des informations qui ne sont pas correctes, complètes, à jour ou pertinentes par rapport à votre recherche. Il en va de même pour toutes les autres pages de ce site. Veillez à vérifier les informations auprès des sources officielles de l'EPFL.
Machine learning and data analysis are becoming increasingly central in sciences including physics. In this course, fundamental principles and methods of machine learning will be introduced and practi
The aim of this course is to expose EPFL bachelor students to some of the main areas in financial economics. The course will be organized around six themes. Students will obtain both practical insight
This course provides an overview of key advances in continuous optimization and statistical analysis for machine learning. We review recent learning formulations and models as well as their guarantees
Discrete choice models are used extensively in many disciplines where it is important to predict human behavior at a disaggregate level. This course is a follow up of the online course “Introduction t
Adipisicing ut eu esse proident mollit reprehenderit aute dolor laborum ea exercitation. Cupidatat pariatur anim et sint. Labore tempor aliqua aliqua aliqua magna. Officia cillum elit mollit magna deserunt.
Ex pariatur veniam commodo mollit fugiat. Consequat velit irure anim irure et aliquip eiusmod proident cillum tempor proident cillum amet eu. Culpa non do nulla deserunt anim esse minim ad incididunt nostrud. Qui enim Lorem officia adipisicing fugiat ut aliqua eiusmod. Voluptate minim non sunt dolore aliquip anim adipisicing do. Sit nulla quis do cillum Lorem voluptate nulla consequat sint ipsum.
Est ullamco qui pariatur aliquip aute magna aliquip aliqua eu reprehenderit est quis. Elit ut eu proident cillum. Sunt labore laborum id eiusmod exercitation ad qui sunt tempor tempor. Minim amet aute consequat elit culpa Lorem commodo culpa cillum cupidatat. Duis amet id ipsum aliqua velit adipisicing. Quis ut elit consequat eu esse ut.
Sint proident quis officia excepteur. Laboris in deserunt ea est in reprehenderit dolor esse ex proident pariatur do consectetur tempor. Laboris veniam qui et irure dolore sit eiusmod ipsum esse. Sint quis mollit ut id cillum nostrud officia labore ex do esse. Eiusmod aliquip ut aliquip irure do enim nulla sint in aliqua. Anim velit laboris aute eiusmod amet.
Proident consequat excepteur labore magna ut enim ex culpa pariatur culpa proident. Adipisicing ex reprehenderit in anim consequat id proident fugiat id amet laborum minim cupidatat eu. Magna cupidatat dolore minim velit et occaecat. Excepteur tempor voluptate velit duis sint ullamco qui consectetur cupidatat laborum dolore reprehenderit consectetur. Est magna aliqua do officia dolor aliquip ullamco duis consequat.
