Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Imen Rached"'
Autor:
Imen Rached, Roman Senkerik, Ioan Salomie, Tudor Cioara, Joana Dias, Claudia Pop, Katarzyna Wegrzyn-Wolska, Andrea Bracciali, Juan C. Burguillo, Horacio González-Vélez, Vincenzo Crescimanna, Aleš Zamuda
Publikováno v:
Lecture Notes in Computer Science
Lecture Notes in Computer Science-High-Performance Modelling and Simulation for Big Data Applications
Lecture Notes in Computer Science ISBN: 9783030162719
High-Performance Modelling and Simulation for Big Data Applications
Investigo. Repositorio Institucional de la Universidade de Vigo
Universidade de Vigo (UVigo)
High-Performance Modelling and Simulation for Big Data Applications-Selected Results of the COST Action IC1406 cHiPSet
Lecture Notes in Computer Science-High-Performance Modelling and Simulation for Big Data Applications
Lecture Notes in Computer Science ISBN: 9783030162719
High-Performance Modelling and Simulation for Big Data Applications
Investigo. Repositorio Institucional de la Universidade de Vigo
Universidade de Vigo (UVigo)
High-Performance Modelling and Simulation for Big Data Applications-Selected Results of the COST Action IC1406 cHiPSet
This chapter surveys the state-of-the-art in forecasting cryptocurrency value by Sentiment Analysis. Key compounding perspectives of current challenges are addressed, including blockchains, data collection, annotation, and filtering, and sentiment an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53aeee8a8cbf113f876382e2918990c8
http://link.springer.com/10.1007/978-3-030-16272-6_12
http://link.springer.com/10.1007/978-3-030-16272-6_12
Autor:
Imen Rached, Elisabeth Larsson
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030162719
High-Performance Modelling and Simulation for Big Data Applications
High-Performance Modelling and Simulation for Big Data Applications
Estimation of tail distributions and extreme quantiles is important in areas such as risk management in finance and insurance in relation to extreme or catastrophic events. The main difficulty from the statistical perspective is that the available da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d99d49263de7a002a46119e56ae1db7
https://doi.org/10.1007/978-3-030-16272-6_3
https://doi.org/10.1007/978-3-030-16272-6_3
Publikováno v:
Journal of Statistical Planning and Inference
Journal of Statistical Planning and Inference, Elsevier, 2007, 137 (3), pp.841--857. ⟨10.1016/j.jspi.2006.06.012⟩
Journal of Statistical Planning and Inference, Elsevier, 2007, 137 (3), pp.841--857. ⟨10.1016/j.jspi.2006.06.012⟩
International audience; The POT (peaks-over-threshold) approach consists in using the generalized Pareto distribution (GPD) to approximate the distribution of excesses over a threshold. In this paper, we consider this approximation using a generalize
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4233b6756c78b7d405acebeeb3f948c
https://doi.org/10.1016/j.jspi.2006.06.012
https://doi.org/10.1016/j.jspi.2006.06.012
Publikováno v:
Comptes Rendus Mathematique. 338:629-634
In this article, we propose to study, in more generality, the probability-weighted moments method used by Hosking and Wallis (1987) in the case of generalized Pareto distributions which depend on two parameters γ and σ. The objective is to extend t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d27bf3e3289e83208727db0ce94f431
https://doi.org/10.1016/j.crma.2004.02.011
https://doi.org/10.1016/j.crma.2004.02.011
Approximation of the distribution of excesses using a generalized probability weighted moment method
Publikováno v:
Comptes Rendus. Mathématique
Comptes Rendus. Mathématique, Académie des sciences (Paris), 2005, 340 (5), pp.383--388. ⟨10.1016/j.crma.2005.01.017⟩
Comptes Rendus Mathématique
Comptes Rendus Mathématique, Elsevier Masson, 2005, 340 (5), pp.383--388. ⟨10.1016/j.crma.2005.01.017⟩
Comptes Rendus. Mathématique, Académie des sciences (Paris), 2005, 340 (5), pp.383--388. ⟨10.1016/j.crma.2005.01.017⟩
Comptes Rendus Mathématique
Comptes Rendus Mathématique, Elsevier Masson, 2005, 340 (5), pp.383--388. ⟨10.1016/j.crma.2005.01.017⟩
The POT (Peaks-Over-Threshold) approach consists of using the generalized Pareto distribution (GPD) to approximate the distribution of excesses over a threshold. In this Note, we consider this approximation using a generalized probability weighted mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e5fa3f0817240ec881fdc6bae28c993
https://hal.archives-ouvertes.fr/hal-00693863
https://hal.archives-ouvertes.fr/hal-00693863