💛❤️ Awww It's finally out! Our presentation on bsvars.org design concept in which @adamwang15.bsky.social talks about the main design features for our packages!

💛❤️ Awww It's finally out! Our presentation on bsvars.org design concept in which @adamwang15.bsky.social talks about the main design features for our packages!

💖 Our newest working paper is now available on arxiv: https://doi.org/10.48550/arXiv.2603.16035
💝 We propose a new volatility model for structural vector autoregressions!
🎀 And it's great for even more precise estimation, homoskedasticity verification, forecasting, and structural analyses!
❤️💛 AND the models are all implemented in my R package bsvars! Enjoy the reading and fast computations!
✨⭐ Here it comes! A new working paper with fantastic Fei Shang. That's another methodological paper for the R package bsvars! 🩷💛 Just have a look at the abstract! Rest assured we provide solid backing for each of them 🦾💪
More details coming up soon.
Hey hey, please join me for my webinar for the International Labour Organization next Wednesday that includes precentation of my R package bpvars 💙🖤
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🌐 Registrations and info: https://www.ilo.org/meetings-and-events/forecasting-labour-market-outcomes-using-bayesian-hierarchical-panel-vars
Hey hey! My new package 'bpvars' is on CRAN now!
It's for Forecasting with Bayesian Panel Vector Autoregressions
Our new R package 📦 StealLikeBayes is a Compendium of Bayesian Statistical Routines Written in C++ and a collaborative effort.
🤝 Join us! More details coming soon!
❤️ our new package 📦 StealLikeBayes is out on CRAN now!
It's a Compendium of Bayesian Statistical Routines Written in C++
Something exciting is coming up! 📦