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  "Title": "Bayesian Forecasting with Large Vector Autoregressions",
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  "Date": "2026-09-07",
  "Authors@R": "c(person(\"Rui\", \"Liu\", , \"rl3023@columbia.edu\", role = c(\"aut\"), comment = c(ORCID = \"0009-0008-9348-8581\")),\nperson(\"Andrés\", \"Ramirez Hassan\", , \"aramir21@gmail.com\", role = c(\"aut\"), comment = c(ORCID = \"0000-0002-0467-7903\")),\nperson(\"Tomasz\", \"Woźniak\", , \"wozniak.tom@pm.me\", role = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0003-2212-2378\")),\nperson(\"Fei\", \"Shang\",, \"sfmax2010@gmail.com\", role = c(\"ctb\"), comment = c(ORCID = \"0000-0003-1908-3275\", \"co-authored the paper by Shang, Wang, Woźniak (2026), introduced major code corrections and improvements\")),\nperson(\"Xiaolei\", \"Wang\",,\"adamwang15@gmail.com\", role = c(\"ctb\"), comment = c(ORCID = \"0009-0005-6192-9061\", \"co-authored the paper by Shang, Wang, Woźniak (2026)\")))",
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  "Description": "Provides fast and efficient procedures for Bayesian\nestimation and forecasting using state-of-the-art Vector\nAutoregressions. This package includes the model proposed by\nShang, Wang, Woźniak (2026) <doi:10.48550/arXiv.2608.28087> and\nChan (2020) <doi:10.1080/07350015.2018.1451336>, that is, a\nBayesian Vector Autoregression with Minnesota priors and a\nflexible structure of the error term specification. The latter\nincludes: conditional multivariate normal or Student’s t\ndistributions, as well as homoskedastic or heteroskedastic\nspecifications with a common volatility modelled by centred or\nnon-centred Stochastic Volatility. Additionally, the package\nfacilitates predictive analyses using density forecasting and\nforecast-error variance decompositions. All this is\ncomplemented by simple workflows, useful plots and summary\nfunctions, and comprehensive documentation. The 'bvars' package\naligns with R packages 'bsvars' by Woźniak (2026)\n<doi:10.32614/CRAN.package.bsvars>, 'bsvarSIGNs' by Wang &\nWoźniak (2026) <doi:10.32614/CRAN.package.bsvarSIGNs>, and\n'bpvars' by Woźniak (2026) <doi:10.32614/CRAN.package.bpvars>\nregarding objects, workflows, and code structure, and they\nconstitute an integrated toolset.",
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  "Author": "Rui Liu [aut] (ORCID: <https://orcid.org/0009-0008-9348-8581>),\nAndrés Ramirez Hassan [aut] (ORCID:\n<https://orcid.org/0000-0002-0467-7903>), Tomasz Woźniak [aut,\ncre] (ORCID: <https://orcid.org/0000-0003-2212-2378>), Fei\nShang [ctb] (ORCID: <https://orcid.org/0000-0003-1908-3275>,\nco-authored the paper by Shang, Wang, Woźniak (2026),\nintroduced major code corrections and improvements), Xiaolei\nWang [ctb] (ORCID: <https://orcid.org/0009-0005-6192-9061>,\nco-authored the paper by Shang, Wang, Woźniak (2026))",
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