References in zbMATH (referenced in 13 articles , 2 standard articles )

Showing results 1 to 13 of 13.
Sorted by year (citations)

  1. Benjamin Christoffersen: dynamichazard: Dynamic Hazard Models Using State Space Models (2021) not zbMATH
  2. Ning Ning, Jinwen Qiu: The mbsts package: Multivariate Bayesian Structural Time Series Models in R (2021) arXiv
  3. Peder Bacher, Hjörleifur G. Bergsteinsson, Linde Frölke, Mikkel L. Sørensen, Julian Lemos-Vinasco, Jon Liisberg, Jan Kloppenborg Møller, Henrik Aalborg Nielsen, Henrik Madsen: onlineforecast: An R package for adaptive and recursive forecasting (2021) arXiv
  4. Antonio Calcagnì, Massimiliano Pastore, Gianmarco Altoè: ssMousetrack: Analysing computerized tracking data via Bayesian state-space models in R (2019) arXiv
  5. Goin, Dana E.; Ahern, Jennifer: Identification of spikes in time series (2019)
  6. Raphael Saavedra, Guilherme Bodin, Mario Souto: StateSpaceModels.jl: a Julia Package for Time-Series Analysis in a State-Space Framework (2019) arXiv
  7. Marco Villegas; Diego Pedregal: SSpace: A Toolbox for State Space Modeling (2018) not zbMATH
  8. Jouni Helske: KFAS: Exponential Family State Space Models in R (2017) not zbMATH
  9. Tobias Liboschik; Konstantinos Fokianos; Roland Fried: tscount: An R Package for Analysis of Count Time Series Following Generalized Linear Models (2017) not zbMATH
  10. Helske, Jouni: Prediction and interpolation of time series by state space models (2015)
  11. Ruiz-Cárdenas, Ramiro; Krainski, Elias T.; Rue, Håvard: Direct fitting of dynamic models using integrated nested Laplace approximations -- INLA (2012)
  12. Fernando Tusell: Kalman Filtering in R (2011) not zbMATH
  13. Giovanni Petris; Sonia Petrone: State Space Models in R (2011) not zbMATH