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bsts

R package bsts: Bayesian Structural Time Series. Time series regression using dynamic linear models fit using MCMC. See Scott and Varian (2014) <doi:10.1504/IJMMNO.2014.059942>, among many other sources.

Keywords for this software

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  • R
  • arXiv_publication
  • arXiv_stat.CO
  • R package
  • Signal extraction
  • Time Series Analysis
  • Ecce Signum
  • normal-gamma prior
  • Ragged edge
  • time-varying parameter
  • arXiv_stat.ME
  • log predictive density scores
  • MCMC
  • arXiv_cs.MS
  • TVP
  • Bayesian inference
  • Entropy maximization
  • arXiv_tat.AP
  • Missing values
  • Markov chain Monte Carlo
  • arXiv_econ.EM
  • Multivariate Signal Extraction
  • multivariate Bayesian structural time series
  • Filtering
  • R Package
  • Seasonality
  • Machine Learning
  • MBSTS
  • arXiv_cs.LG
  • Econometrics

  • URL: cran.r-project.org/web...
  • Code
  • InternetArchive
  • Manual: cran.r-project.org/web...
  • Authors: Steven L. Scott
  • Dependencies: R

  • Add information on this software.


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References in zbMATH (referenced in 3 articles )

Showing results 1 to 3 of 3.
y Sorted by year (citations)

  1. Tucker S. McElroy, James A. Livsey: Ecce Signum: An R Package for Multivariate Signal Extraction and Time Series Analysis (2022) arXiv
  2. Ning Ning, Jinwen Qiu: The mbsts package: Multivariate Bayesian Structural Time Series Models in R (2021) arXiv
  3. Angela Bitto-Nemling, Annalisa Cadonna, Sylvia Frühwirth-Schnatter, Peter Knaus: Shrinkage in the Time-Varying Parameter Model Framework Using the R Package shrinkTVP (2019) arXiv

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