EconBiz - Find Economic Literature
    • Logout
    • Change account settings
  • A-Z
  • Beta
  • About EconBiz
  • News
  • Thesaurus (STW)
  • Academic Skills
  • Help
  •  My account 
    • Logout
    • Change account settings
  • Login
EconBiz - Find Economic Literature
Publications Events
Search options
Advanced Search history
My EconBiz
Favorites Loans Reservations Fines
    You are here:
  • Home
  • Search: subject:"asymmetric and heavy-tailed distributions"
Narrow search

Narrow search

Year of publication
Subject
All
Estimation theory 2 Maximum likelihood estimation 2 Maximum-Likelihood-Schätzung 2 Schätztheorie 2 Statistical distribution 2 Statistische Verteilung 2 asymmetric and heavy-tailed distributions 2 asymptotic normality 2 consistency 2 invertibility 2 robust filter 2 time-varying parameters 2 Asymmetric and heavy-tailed distributions 1 Asymptotic normality 1 Consistency 1 Invertibility 1 Robust filter 1 Time-varying parameters 1
more ... less ...
Online availability
All
Free 3
Type of publication
All
Book / Working Paper 2 Article 1
Type of publication (narrower categories)
All
Working Paper 2 Arbeitspapier 1 Article in journal 1 Aufsatz in Zeitschrift 1 Graue Literatur 1 Non-commercial literature 1
Language
All
English 3
Author
All
Blasques, Francisco 3 Gorgi, Paolo 3 Koopman, Siem Jan 3 Brummelen, Janneke van 2 van Brummelen, Janneke 1
Published in...
All
Discussion paper / Tinbergen Institute 1 Journal of econometrics 1 Tinbergen Institute Discussion Paper 1
Source
All
ECONIS (ZBW) 2 EconStor 1
Showing 1 - 3 of 3
Cover Image
Maximum likelihood estimation for non-stationary location models with mixture of normal distributions
Blasques, Francisco; Brummelen, Janneke van; Gorgi, Paolo; … - In: Journal of econometrics 238 (2024) 1, pp. 1-22
Persistent link: https://www.econbiz.de/10015073825
Saved in:
Cover Image
Maximum likelihood estimation for non-stationary location models with mixture of normal distributions
Blasques, Francisco; van Brummelen, Janneke; Gorgi, Paolo; … - 2022
We consider an observation-driven location model where the unobserved location variable is modeled as a random walk process and where the error variable is from a mixture of normal distributions. The mixed normal distribution can approximate many continuous error distributions accurately. We...
Persistent link: https://www.econbiz.de/10012797266
Saved in:
Cover Image
Maximum likelihood estimation for non-stationary location models with mixture of normal distributions
Blasques, Francisco; Brummelen, Janneke van; Gorgi, Paolo; … - 2022
We consider an observation-driven location model where the unobserved location variable is modeled as a random walk process and where the error variable is from a mixture of normal distributions. The mixed normal distribution can approximate many continuous error distributions accurately. We...
Persistent link: https://www.econbiz.de/10012795401
Saved in:
A service of the
zbw
  • Sitemap
  • Plain language
  • Accessibility
  • Contact us
  • Imprint
  • Privacy

Loading...