
CONTSID
 Referenced in 37 articles
[sw14945]
 software support for databased continuoustime modelling. This chapter describes the continuoustime system ... continuoustime (CT) transfer function and statespace model identification directly from regularly or irregularly ... determination of a discretetime (DT) model. The motivation for developing the CONTSID toolbox ... data; it provides transfer function and statespace model identification methods for singleinput single...

pomp
 Referenced in 47 articles
[sw10664]
 processes (POMPs, AKA stochastic dynamical systems, statespace models). ’pomp’ provides facilities for implementing POMP...

Control System Toolbox
 Referenced in 152 articles
[sw07643]
 transfer function, statespace, zeropolegain or frequencyresponse model. Apps and functions, such...

LibBi
 Referenced in 15 articles
[sw19384]
 Bayesian StateSpace Modelling on HighPerformance Hardware Using LibBi. LibBi is a software package ... statespace modelling and Bayesian inference on modern computer hardware, including multicore central processing ... model specification, then optimises, generates, compiles and runs code for the given model, inference method ... work serves as an introduction to statespace models and the specialised methods developed...

ITSM2000
 Referenced in 19 articles
[sw16941]
 logic and tools of time series modelbuilding are developed in detail. Numerous exercises ... ARIMA processes, multivariate time series and statespace models, with an optional chapter on spectral...

E4
 Referenced in 13 articles
[sw17878]
 StateSpace Estimation of Econometric Models.” E4 uses statespace methods to achieve flexibility ... statespace, it provides interface functions to support many standard time series models, such ... VARMAX, structural econometric models or singleoutput transfer functions. These models can be estimated ... Jerez, Sonia Sotoca, A. Alexandre Trindade: ”StateSpace Methods for Time Series Analysis: Theory, Applications...

dse
 Referenced in 8 articles
[sw24866]
 timeinvariant, time series models. This includes ARMA and statespace representations, and methods ... package has functions for looking at model roots, stability, and forecasts at different horizons ... from the state space model, and statespace model reduction techniques are implemented. An introduction...

SHARPE
 Referenced in 43 articles
[sw03100]
 networks and statespace ones such as Markov and semiMarkov reward models as well...

SMART_
 Referenced in 33 articles
[sw04097]
 symbolic statespace generation techniques, as well as symbolic CTL modelchecking algorithms, are available...

SMI Toolbox
 Referenced in 4 articles
[sw32062]
 data. The acronym SMI stands for Statespace Model Identification toolbox. The toolbox...

MARSS
 Referenced in 3 articles
[sw23275]
 package MARSS: Multivariate Autoregressive StateSpace Modeling. The MARSS package provides maximumlikelihood parameter estimation ... unconstrained linear multivariate autoregressive statespace (MARSS) models fit to multivariate timeseries data. Fitting...

Uppaal2k
 Referenced in 43 articles
[sw01595]
 interface to the verifier of Uppaal2k. A modelchecker for automatic verification of safety ... reachability analysis of the symbolic statespace. Since version 3.2 it can also check liveness...

UPPAAL TIGA
 Referenced in 46 articles
[sw12913]
 Smolka [LS98] for lineartime modelchecking of finitestate systems. Being ... long before having explored the entire statespace. Also the individual steps of the algorithm...

abcsde
 Referenced in 3 articles
[sw24744]
 performs approximate Bayesian computation for stochastic models having latent dynamics defined by stochastic differential equations ... SDEs) and not limited to the ”statespace” modelling framework. Both one and multidimensional...

networkTomography
 Referenced in 2 articles
[sw30334]
 with calibration based upon a Gaussian statespace model in addition to implementations...

swim
 Referenced in 2 articles
[sw18261]
 Hidden Markov Movement Model for rapidly identifying behavioral states from animal tracks. 1. Electronic telemetry ... understand how and why animals use available space, thereby aiding conservation and management efforts ... with significant measurement error, a Bayesian statespace model called the firstDifference Correlated Random...

ForneyLab
 Referenced in 2 articles
[sw27938]
 makeup of the FFG framework, both the model specification and inference methods are readily extensible ... Monte Carlo methods as implemented by stateoftheart tools “Edward” and “Stan ... competitors for automated inference in statespace models...

NGSSEML
 Referenced in 1 article
[sw42976]
 Gaussian statespace with exact marginal likelihood is useful for modeling and forecasting nonGaussian ... reliability data via nonGaussian statespace models with the exact marginal likelihood easily ... formulating and specifying the nonGaussian statespace models in the R language. Inferences...

ssMousetrack
 Referenced in 1 article
[sw28272]
 package ssMousetrack: Bayesian StateSpace Modeling of MouseTracking Experiments via Stan. Estimates previously compiled ... statespace modeling for mousetracking experiments using the ’rstan’ package, which provides...

gmwm
 Referenced in 1 article
[sw21249]
 tool for time series analysis from statespace models to robustness. The gmwm R package ... identify possible models. Moreover, it is used as a moment condition for model estimation through ... alternative method to estimate classical ARMA models but also delivers a general framework ... efficient estimation of many linear statespace models...