Introduction to Special Issue on Monte Carlo Methods in Statistics
Article No.: 1, Pages 1 - 2
Abstract
No abstract available.
Index Terms
- Introduction to Special Issue on Monte Carlo Methods in Statistics
Recommendations
Time Series Simulation with Quasi Monte Carlo Methods
This paper compares quasi Monte Carlo methods, in particular so-called (t, m, s)-nets, with classical Monte Carlo approaches for simulating econometric time-series models. Quasi Monte Carlo methods have found successful application in many fields, such as ...
Comments
Information & Contributors
Information
Published In
Copyright © 2013 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 01 January 2013
Published in TOMACS Volume 23, Issue 1
Check for updates
Qualifiers
- Introduction
- Research
- Refereed
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 269Total Downloads
- Downloads (Last 12 months)23
- Downloads (Last 6 weeks)7
Reflects downloads up to 06 Nov 2024
Other Metrics
Citations
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in