Estimating errors reliably in Monte Carlo simulations of the Ehrenfest model

Physics – Computational Physics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

10.1119/1.3247985

Using the Ehrenfest urn model we illustrate the subtleties of error
estimation in Monte Carlo simulations. We discuss how the smooth results of
correlated sampling in Markov chains can fool one's perception of the accuracy
of the data, and show (via numerical and analytical methods) how to obtain
reliable error estimates from correlated samples.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Estimating errors reliably in Monte Carlo simulations of the Ehrenfest model does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Estimating errors reliably in Monte Carlo simulations of the Ehrenfest model, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Estimating errors reliably in Monte Carlo simulations of the Ehrenfest model will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-495058

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.