Παρακαλώ χρησιμοποιήστε αυτό το αναγνωριστικό για να παραπέμψετε ή να δημιουργήσετε σύνδεσμο προς αυτό το τεκμήριο:
https://hdl.handle.net/20.500.14279/3405
Τίτλος: | Partially adaptive econometric methods for regression and classification | Συγγραφείς: | Hansen, James McDonald, James B. Theodossiou, Panayiotis |
metadata.dc.contributor.other: | Θεοδοσίου, Παναγιώτης | Major Field of Science: | Social Sciences | Field Category: | Economics and Business | Λέξεις-κλειδιά: | Economics;Value at risk;Statistics | Ημερομηνία Έκδοσης: | 2010 | Πηγή: | Computational economics, 2010, Volume 36, Issue 2, Pages 153-169 | Περίληψη: | Assumptions about the distributions of domain variables are important for much of statistical learning, including both regression and classification problems. However, it is important that the assumed models are consistent with the stylized facts. For example selecting a normal distribution permits modeling two data characteristics-the mean and the variance, but it is not appropriate for data which are skewed or have thick tails. The adaptive methods developed here offer the flexibility found in many machine learning models, but lend themselves to statistical interpretation, as well. This paper contributes to the development of partially adaptive estimation methods that derive their adaptability from membership in families of distributions, which are distinguished by modifications of simple parameters. In particular, we have extended the methods to include recently proposed distributions, including example applications and computational details | URI: | https://hdl.handle.net/20.500.14279/3405 | ISSN: | 0927-7099 (print) 1572-9974 (online) |
DOI: | 10.1007/s10614-010-9226-y | Rights: | © 2010 Springer Science+Business Media, LLC | Type: | Article | Affiliation: | Brigham Young University Rutgers University Cyprus University of Technology |
Εμφανίζεται στις συλλογές: | Άρθρα/Articles |
CORE Recommender
SCOPUSTM
Citations
50
7
checked on 9 Νοε 2023
WEB OF SCIENCETM
Citations
50
7
Last Week
0
0
Last month
0
0
checked on 29 Οκτ 2023
Page view(s) 50
510
Last Week
2
2
Last month
5
5
checked on 5 Οκτ 2024
Google ScholarTM
Check
Altmetric
Όλα τα τεκμήρια του δικτυακού τόπου προστατεύονται από πνευματικά δικαιώματα