A Markov Chain Monte Carlo technique for parameter estimation and inference in pesticide fate and transport modeling

A Markov Chain Monte Carlo technique for parameter estimation and inference in pesticide fate and... •The paper proposes a method for estimating input parameters of a pesticide fate and transport model.•The method is based on a Bayesian framework and uses a Markov Chain Monte Carlo algorithm.•A robust method for analyzing MCMC outputs is presented.•Predicted pesticide concentrations using optimal input parameters were similar to that of the monitored concentrations. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Ecological Modelling Elsevier

A Markov Chain Monte Carlo technique for parameter estimation and inference in pesticide fate and transport modeling

Loading next page...
 
/lp/elsevier/a-markov-chain-monte-carlo-technique-for-parameter-estimation-and-aeZBp9o38L
Publisher
Elsevier
Copyright
Copyright © 2017 Elsevier B.V.
ISSN
0304-3800
eISSN
1872-7026
D.O.I.
10.1016/j.ecolmodel.2017.07.011
Publisher site
See Article on Publisher Site

Abstract

•The paper proposes a method for estimating input parameters of a pesticide fate and transport model.•The method is based on a Bayesian framework and uses a Markov Chain Monte Carlo algorithm.•A robust method for analyzing MCMC outputs is presented.•Predicted pesticide concentrations using optimal input parameters were similar to that of the monitored concentrations.

Journal

Ecological ModellingElsevier

Published: Sep 24, 2017

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off