Comparison of Kullback-Leibler, Hellinger and LINEX with Quadratic Loss Function in Bayesian Dynamic Linear Models: Forecasting of Real Price of Oil
In this paper we intend to examine the application of Kullback-Leibler, Hellinger and LINEX loss function in Dynamic Linear Model using the real price of oil for 106 years of data from 1913 to 2018 concerning the asymmetric problem in filtering and forecasting. We use DLM form of the basic Hoteling...
Main Authors: | Esmaiel Abounoori, Mohsen Ali Heydari |
---|---|
Format: | Article |
Language: | English |
Published: |
University of Sistan and Baluchestan
2020-06-01
|
Series: | International Journal of Business and Development Studies |
Subjects: | |
Online Access: | https://ijbds.usb.ac.ir/article_5435_5b772c23d8535ac41801b8413bd45b28.pdf |
Similar Items
-
Computation of Kullback–Leibler Divergence in Bayesian Networks
by: Serafín Moral, et al.
Published: (2021-08-01) -
Entropy and the Kullback–Leibler Divergence for Bayesian Networks: Computational Complexity and Efficient Implementation
by: Marco Scutari
Published: (2024-01-01) -
Dynamic fine‐tuning layer selection using Kullback–Leibler divergence
by: Raphael Ngigi Wanjiku, et al.
Published: (2023-05-01) -
Kullback–Leibler Divergence of Sleep-Wake Patterns Related with Depressive Severity in Patients with Epilepsy
by: Mingsu Liu, et al.
Published: (2023-05-01) -
GEODESIC DISTRIBUTION IN GRAPH THEORY: KULLBACK-LEIBLER-SYMMETRIC
by: José Alejandro González, et al.
Published: (2014-07-01)