EconPapers    
Economics at your fingertips  
 

Sigma-algebra theorems

Halton John H.
Additional contact information
Halton John H.: The University of North Carolina at Chapel Hill, Sitterson Hall, CB 3175, Chapel Hill, NC 27599-3175, USA. Email: , jhhxyz@earthlink.net, Voice: 919-962-1752, 919-942-4856, Fax: 919-942-6616 halton@cs.unc.edu

Monte Carlo Methods and Applications, 2008, vol. 14, issue 2, 171-189

Abstract: In reviewing the foundations of probability, to establish the underpinnings of the Monte Carlo method, I found some basic results for which I could not find a simple, clear, and concise derivation in the literature. This paper is an attempt to present a sufficient collection of such results. The presentation is pitched at the level of Monte Carlo practitioners, rather than mathematical probabilists.

Keywords: Sigma-algebra; measure; probability space; random variable; distribution; Borel sets; cumulative distribution function (search for similar items in EconPapers)
Date: 2008
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1515/MCMA.2008.009 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bpj:mcmeap:v:14:y:2008:i:2:p:171-189:n:4

Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/mcma/html

DOI: 10.1515/MCMA.2008.009

Access Statistics for this article

Monte Carlo Methods and Applications is currently edited by Karl K. Sabelfeld

More articles in Monte Carlo Methods and Applications from De Gruyter
Bibliographic data for series maintained by Peter Golla ().

 
Page updated 2025-03-19
Handle: RePEc:bpj:mcmeap:v:14:y:2008:i:2:p:171-189:n:4