Least-Squares and Maximum Likelihood Estimation calibration with R

November 17, 2013
By

(This article was first published on Quant Corner » R, and kindly contributed to R-bloggers)

In this short post, we give the code snippets for both the least-square method (LS) and the maximum likelihood estimation (MLE). They are based on Calibrating the Ornstein-Uhlenbeck (Vasicek) model at www.sitmo.com. One can also read the article On the Simulation and Estimation … Continue reading

To leave a comment for the author, please follow the link and comment on his blog: Quant Corner » R.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...



If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.