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: person:"Prokešová, Michaela"
Narrow search

Narrow search

Year of publication
Subject
All
Asymptotic normality 1 Cluster processes 1 Consistency 1 Log Gaussian Cox processes 1 Neyman–Scott processes 1 Palm likelihood 1 Spatial point process 1 Strong mixing 1
more ... less ...
Online availability
All
Undetermined 1
Type of publication
All
Article 2
Language
All
Undetermined 2
Author
All
Prokešová, Michaela 2 Jensen, Eva 1 Jensen, Eva B. Vedel 1
Published in...
All
Annals of the Institute of Statistical Mathematics 1 Annals of the Institute of Statistical Mathematics : AISM 1
Source
All
OLC EcoSci 1 RePEc 1
Showing 1 - 2 of 2
Cover Image
Asymptotic Palm likelihood theory for stationary point processes
Prokešová, Michaela; Jensen, Eva - In: Annals of the Institute of Statistical Mathematics 65 (2013) 2, pp. 387-412
In the present paper, we propose a Palm likelihood approach as a general estimating principle for stationary point processes in <InlineEquation ID="IEq1"> <EquationSource Format="TEX">$$\mathbf{R}^d$$</EquationSource> </InlineEquation> for which the density of the second-order factorial moment measure is available in closed form or in an integral representation. Examples of such...</equationsource></inlineequation>
Persistent link: https://www.econbiz.de/10011000089
Saved in:
Cover Image
Asymptotic Palm likelihood theory for stationary point processes
Prokešová, Michaela; Jensen, Eva B. Vedel - In: Annals of the Institute of Statistical Mathematics : AISM 65 (2013) 2, pp. 387-412
Persistent link: https://www.econbiz.de/10010062651
Saved in:
A service of the
zbw
  • Sitemap
  • Plain language
  • Accessibility
  • Contact us
  • Imprint
  • Privacy

Loading...