In-season performance of European Union wheat forecasts during extreme impacts

Autor: Remi Lecerf, Andrej Ceglar, Lorenzo Seguini, S. Garcia Condado, Bettina Baruth, Sotiris Karetsos, Richard D. Lopez, Andrea Maiorano, Attila Bussay, M. van den Berg, L. Nisini, M. van der Velde

Publikováno v: Scientific Reports 1 (8), 10 p.. (2018)
Scientific Reports
Scientific Reports, Nature Publishing Group, 2018, 8 (1), 10 p. ⟨10.1038/s41598-018-33688-1⟩
Scientific Reports, Vol 8, Iss 1, Pp 1-10 (2018)

Here we assess the quality and in-season development of European wheat (Triticum spp.) yield forecasts during low, medium, and high-yielding years. 440 forecasts were evaluated for 75 wheat forecast years from 1993–2013 for 25 European Union (EU) M

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86e7bb5f3b4c16b2eca5511311688d65
https://doi.org/10.1038/s41598-018-33688-1

Statistical learning for portfolio management: prediction, risk management, and portfolio optimization

Autor: Zhang, Ruocong

Publikováno v: Apprentissage [cs.LG]. Télécom ParisTech, 2014. Français. ⟨NNT : 2014ENST0049⟩

The goal of this work is to predict the returns of financial assets with statistical learning methods. We are motivated by the problem of stock selection in portfolio management. In particular, we will focus on the prediction of the sign of future re

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______212::3dde4e8f94ecc5725e74695019f224c7
https://tel.archives-ouvertes.fr/tel-01856339

Statistical learning for portfolio management

Autor: Zhang, Ruocong

The goal of this work is to predict the returns of financial assets with statistical learning methods. We are motivated by the problem of stock selection in portfolio management. In particular, we will focus on the prediction of the sign of future re

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______166::3dde4e8f94ecc5725e74695019f224c7
https://theses.hal.science/tel-01856339