Search Results - STATE SPACE MODELS

Refine Results
  1. 1
  2. 2
  3. 3

    The STAMP Software for State Space Models by Roy Mendelssohn

    Published in Journal of Statistical Software (2011-05-01)
    “…This paper reviews the use of STAMP (Structural Time Series Analyser, Modeler and Predictor) for modeling time series data using state-space methods with unobserved components. …”
    Get full text
    Article
  4. 4

    Fitting State Space Models with EViews by Filip A. M. Van den Bossche

    Published in Journal of Statistical Software (2011-05-01)
    “…This paper demonstrates how state space models can be fitted in EViews. We first briefly introduce EViews as an econometric software package. …”
    Get full text
    Article
  5. 5

    Identification State Space models and some Time Series models by Zina Asem, heyam Hayawi

    “…<strong>Abstract</strong><br />      In this research, a comparison of the identification process for time series models represented by ARIMA models was studied by identification several models and choosing the best model based on some statistical criteria and one of the dynamic models represented by state space models was through identification several models with different ranks and choosing the best model based on statistical criteria. …”
    Get full text
    Article
  6. 6

    dynamichazard: Dynamic Hazard Models Using State Space Models by Benjamin Christoffersen

    Published in Journal of Statistical Software (2021-09-01)
    “…The dynamichazard package implements state space models that can provide a computationally efficient way to model time-varying parameters in survival analysis. …”
    Get full text
    Article
  7. 7
  8. 8
  9. 9

    Formulating State Space Models in R with Focus on Longitudinal Regression Models by Claus Dethlefsen, Søren Lundbye-Christensen

    Published in Journal of Statistical Software (2006-04-01)
    “…We provide a language for formulating a range of state space models with response densities within the exponential family. …”
    Get full text
    Article
  10. 10

    Learning Generative State Space Models for Active Inference by Ozan Çatal, Samuel Wauthier, Cedric De Boom, Tim Verbelen, Bart Dhoedt

    Published in Frontiers in Computational Neuroscience (2020-11-01)
    “…However, these simulations typically require handcrafting a generative model for the agent. Therefore we propose to use recent advances in deep artificial neural networks to learn generative state space models from scratch, using only observation-action sequences. …”
    Get full text
    Article
  11. 11
  12. 12
  13. 13
  14. 14
  15. 15
  16. 16

    Chemical language modeling with structured state space sequence models by Rıza Özçelik, Sarah de Ruiter, Emanuele Criscuolo, Francesca Grisoni

    Published in Nature Communications (2024-07-01)
    “…Here, we introduce a recent deep learning architecture, termed Structured State Space Sequence (S4) model, into de novo drug design. …”
    Get full text
    Article
  17. 17
  18. 18

    ECG Synthesis via Diffusion-Based State Space Augmented Transformer by Md Haider Zama, Friedhelm Schwenker

    Published in Sensors (2023-10-01)
    “…Our contribution introduces a novel diffusion-based model coupled with a State Space Augmented Transformer. …”
    Get full text
    Article
  19. 19

    Monte Carlo fixed-lag smoothing in state-space models by A. Cuzol, E. Mémin

    Published in Nonlinear Processes in Geophysics (2014-05-01)
    “…This paper presents an algorithm for Monte Carlo fixed-lag smoothing in state-space models defined by a diffusion process observed through noisy discrete-time measurements. …”
    Get full text
    Article
  20. 20

    Statistical analysis of organelle movement using state-space models by Haruki Nishio, Satoyuki Hirano, Yutaka Kodama

    Published in Plant Methods (2023-07-01)
    “…Conclusions We demonstrated that state-space modelling is a powerful method to understand organelle movement in eukaryotic cells. …”
    Get full text
    Article

Search Tools: