CollocInfer

R package CollocInfer: Collocation Inference for Dynamic Systems. These functions implement collocation-inference for continuous-time and discrete-time stochastic processes. They provide model-based smoothing, gradient-matching, generalized profiling and forwards prediction error methods.

Keywords for this software

Anything in here will be replaced on browsers that support the canvas element

References in zbMATH (referenced in 6 articles , 1 standard article )

Showing results 1 to 6 of 6.
Sorted by year (citations)

  1. Daniel Kaschek; Wolfgang Mader; Mirjam Fehling-Kaschek; Marcus Rosenblatt; Jens Timmer: Dynamic Modeling, Parameter Estimation, and Uncertainty Analysis in R (2019) not zbMATH
  2. Stojkova, Biljana Jonoska; Campbell, David A.: Incremental mixture importance sampling with shotgun optimization (2019)
  3. Rami Yaari; Itai Dattner: simode: R Package for statistical inference of ordinary differential equations using separable integral-matching (2018) arXiv
  4. Dass, Sarat C.; Lee, Jaeyong; Lee, Kyoungjae; Park, Jonghun: Laplace based approximate posterior inference for differential equation models (2017)
  5. Giles Hooker and James Ramsay and Luo Xiao: CollocInfer: Collocation Inference in Differential Equation Models (2016) not zbMATH
  6. Vujačić, Ivan; Dattner, Itai; González, Javier; Wit, Ernst: Time-course window estimator for ordinary differential equations linear in the parameters (2015)