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#bvars — Public Fediverse posts

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  1. ⭐ Alright! In our new working paper we show that

    ⭐⭐ Bayesian Vector Autoregressions with non-centred Stochastic Volatility forecast better than those with centred Stochastic Volatility! ⭐⭐

    ⭐ This holds for
    ⭐ structural VARs and common volatility BVARs
    ⭐ point and density forecasts
    ⭐ 1-month and 1-year ahead forecasts

    ⭐ That's huge!
    🌐 doi.org/10.48550/arXiv.2608.28

  2. ⭐ Have a look at Adam's presentation of our new working paper on the software design for our R packages bsvars, bsvarSIGNs, and bvars!
    💛 It's all about 💛 models 💛 techniques 💛 C++ 💛 IO 💛 workflows
    🌐 bsvars.org/2026-08-concept/
    🌐 doi.org/10.48550/arXiv.2608.28

  3. ⭐ HA! A new working paper on software design for our R packages bsvars, bsvarSIGNs, and bvars is out!
    ✨ Have a look!
    🌟 The design includes:
    💛 suite of models
    💛 econometric and numerical methods
    💛 algorithms in C++
    💛 handling of inputs and outputs
    💛 simple workflows
    🌐 doi.org/10.48550/arXiv.2608.28

  4. 🖤🩷 WOW! 🩷🖤
    🖤🩷 Version 3.0 of our R package bsvarSIGNs is on CRAN now! 🩷🖤
    🖤🩷 And it has new superb features! 🩷🖤

    🌐 have a look: bsvars.org/bsvarSIGNs/

  5. 🖤🩷 Big news! bsvarSIGNs version 3.0 is on CRAN now! And it's great! 🩷🖤

    🌐 have a look: cran.r-project.org/package=bsv

    Thanks @adamwang15.bsky.social

  6. 🌟 our packages come in all colours ✨ exhibit a high level of integration in terms of syntax, workflows, and design ⭐ so they are all easy for you to use 💫 you learn one - you get it all 🌟 and offer a great range of models and applications 🤩

    🌐 bsvars.org/