Performing structural and predictive analyses is just the same in both ๐ฅ packages ๐ฏ๐๐๐ฎ๐ฟ๐ and ๐ฏ๐๐๐ฎ๐ฟ๐ฆ๐๐๐ก๐! They're so so easy! ๐ฐ๐ช And they're complemented by superb ๐๐๐๐๐๐๐ข() and ๐๐๐๐() functions! Nice! โ ๐ต #bsvars#bsvarSIGNs#rstats#foss
The workflows in the ๐ฅ packages ๐ฏ๐๐๐ฎ๐ฟ๐ and ๐ฏ๐๐๐ฎ๐ฟ๐ฆ๐๐๐ก๐ are v similar! ๐ง๐จ Upload the package and data, ๐๐๐๐๐๐๐ข_* a model, and then just apply function ๐๐๐๐๐๐๐๐() that will automatically choose the right estimation algorithm for the model. ๐ฉ๐ช Juicy! ๐ฌ๐ญ #bsvars#bsvarSIGNs#rstats#foss#econsky
In ๐ฏ๐๐๐ฎ๐ฟ๐ฆ๐๐๐ก๐, after estimating hyper-parameters, you sample estimate the rest of the parameters sampling independent draws from the posterior! So, no convergence and burn-in is needed!
The two ๐ฅ packages ๐ฏ๐๐๐ฎ๐ฟ๐ and ๐ฏ๐๐๐ฎ๐ฟ๐ฆ๐๐๐ก๐ are compatible wrt the functions, objects, and workflows! ๐ฉโ๐ผ๐๏ธ If you know ๐ฏ๐๐๐ฎ๐ฟ๐, learning ๐ฏ๐๐๐ฎ๐ฟ๐ฆ๐๐๐ก๐ is super easy ๐ค๐ #bsvars#bsvarSIGNs#rstats#foss#econsky
The two ๐ฅ packages ๐ฏ๐๐๐ฎ๐ฟ๐ and ๐ฏ๐๐๐ฎ๐ฟ๐ฆ๐๐๐ก๐ are compatible wrt the functions, objects, and workflows! ๐ฉโ๐ผ๐๏ธ So, once you learn how to use one package working with the other will be super easy! ๐โต #bsvars#bsvarSIGNs#rstats#econsky
Blazingly fast code with ๐ฅ packages ๐ฏ๐๐๐ฎ๐ฟ๐ and ๐ฏ๐๐๐ฎ๐ฟ๐ฆ๐๐๐ก๐! ๐ซ We implemented frontier econometric and numerical methods coded in ๐++ to make the estimation and analysis as fast as possible. ๐คฉ #bsvars#bsvarSIGNs#rstats#econsky
Team spirit! ๐ญ Together, the ๐ฅ packages ๐ฏ๐๐๐ฎ๐ฟ๐ and ๐ฏ๐๐๐ฎ๐ฟ๐ฆ๐๐๐ก๐ offer a wide range of modelling approaches and identification for Bayesian Structural Vector Autorgressions! ๐ซ Just to make certain that you will find there a model just right for your application! ๐จโ๐ป๐ฉโ๐ป #bsvars#bsvarSIGNs#rstats#skyecon
Hey! ๐จ I have just given a talk about ๐๐ต๐ณ๐ถ๐ค๐ต๐ถ๐ณ๐ข๐ญ ๐๐ข๐ค๐ณ๐ฐ ๐๐ฏ๐ข๐ญ๐บ๐ด๐ฆ๐ด ๐๐ด๐ช๐ฏ๐จ ๐ ๐ฑ๐ข๐ค๐ฌ๐ข๐จ๐ฆ๐ด ๐ฃ๐ด๐ท๐ข๐ณ๐ด ๐ข๐ฏ๐ฅ ๐ฃ๐ด๐ท๐ข๐ณ๐๐๐๐๐ด for the QuantEcon Lab at the ANU College of Business and Economics ๐ฆ quantecon.orgbsvars.github.io/2024-08-bsva...#bsvars#bsvarSIGNs#rstats#econsky