i need an expert in Bayesian methods (Gibb samplers, MCMC estimation, etc.) and proficient in the R programming language to help design simulations and develop flexible R scripts/functions implementing methods in published statistical literature. i'm ideally looking for someone with a background in statistics/mathematics, but people in econometrics, computer sciences, etc. area also welcome. ideally this would be a series of projects, about 2 weeks-long each, in which you will develop easy-to-implement functions that will take in data, perform the appropriate Bayesian estimation and generate output. i will provide the articles on pdf file from the published statistical literature where the appropriate theory/examples are described. i basically need someone who can transform that into R code.
i do not use Matlab, SAS, Mathematica, C++, etc. so all the projects require a fully-functioning R script and R only. if you feel comfortable using those that's ok, but the end product i need must be in R.
as i mentioned, i am looking for a long-term programmer so i expect (hope) to develop a long-term business relationship with someone. time is of the essence so please be sure you'll have enough time to work on these projects. i cannot grant extensions and some of them may not be particularly straightforward.
14 freelancers are bidding on average $829 for this job
A team of 3 math PhDs. Strong background in stats/econometrics and sufficient experience in journal literature. Efficient R programmers. Looking to build long-term relationship.
Hi! This project is very interesting. I am working in the field of Bayesian statistics using R programming exclusively. Please see your personal message for more information. Thank you!