• MCQueue

  • Referenced in 147 articles [sw05198]
  • waiting-time probabilities for basic queueing models (M/G/1 queue, M/M/c queue, M/D/c queue, G/M/c queue ... Tijms, A First Course in Stochastic Models, Wiley...
  • LINGO

  • Referenced in 319 articles [sw04942]
  • Quadratically Constrained, Second Order Cone, Stochastic, and Integer optimization models faster, easier and more efficient...
  • STABLE

  • Referenced in 110 articles [sw04843]
  • functions”, J. P. Nolan, Commun. Statist.-Stochastic Models, 13(4), 759-774 (1997). Also included...
  • gss

  • Referenced in 293 articles [sw06099]
  • Smoothing spline ANOVA models Nonparametric function estimation with stochastic data, otherwise known as smoothing ... settings number far less. Smoothing spline ANOVA models are a versatile family of smoothing methods...
  • Pyomo

  • Referenced in 65 articles [sw04910]
  • cover advanced topics such as nonlinear models, stochastic models, and scripting examples...
  • bvarsv

  • Referenced in 105 articles [sw11023]
  • Bayesian Analysis of a Vector Autoregressive Model with Stochastic Volatility and Time-Varying Parameters...
  • Uhlig Toolkit

  • Referenced in 49 articles [sw15482]
  • Toolkit for Analysing Nonlinear Dynamic Stochastic Models Easily. Chapter 3 provides a toolkit for solving ... such nonlinear dynamic discrete-time stochastic models easily, building on log-linearizing the necessary equations...
  • LIMDEP

  • Referenced in 77 articles [sw04925]
  • forms of the linear regression model, and stochastic frontier, discrete choice and limited dependent variable...
  • PyMC

  • Referenced in 51 articles [sw10482]
  • PyMC: Bayesian Stochastic Modelling in Python. PyMC is a python module that implements Bayesian statistical...
  • Duali

  • Referenced in 26 articles [sw01245]
  • teaching about dynamic deterministic and stochastic economic models. It is also a useful research tool ... work with deterministic and passive learning stochastic models. In contrast, Dualpc is primarily a research ... both passive and active learning stochastic control models. Models developed in Duali and solved first ... deterministic and then as passive learning stochastic models can be exported in the proper format...
  • SPNP

  • Referenced in 49 articles [sw07933]
  • modeling tool for solution of Stochastic Petri Net (SPN) models. The SPN models are described...
  • Dynare

  • Referenced in 74 articles [sw12305]
  • wide class of economic models, in particular dynamic stochastic general equilibrium (DSGE) and overlapping generations...
  • SMART_

  • Referenced in 33 articles [sw04097]
  • Logical and stochastic modeling with smart. We describe the main features of Smart, a software ... symbolic CTL model-checking algorithms, are available. For the study of stochastic and timing behavior ... stochastic nature of the process, but certain classes of non-Markov models can still...
  • PEPA

  • Referenced in 117 articles [sw10692]
  • PEPA models, and for model checking properties in the Continuous Stochastic Logic (CSL). Download...
  • vsn

  • Referenced in 29 articles [sw06105]
  • maximum-likelihood estimator for the stochastic model of microarray data described in the references...
  • StMoMo

  • Referenced in 26 articles [sw22098]
  • package StMoMo: Stochastic Mortality Modelling. Implementation of the family of generalised age-period-cohort stochastic...
  • VESTA

  • Referenced in 25 articles [sw08425]
  • expected values of temporal expressions. For model-checking VESTA uses a sequence of inter-related ... computation tree logic (PCTL) [3] or continuous stochastic ... logic (CSL) is satisfied by a stochastic model. Furthermore, VESTA supports the statistical computation...
  • PySP

  • Referenced in 21 articles [sw04921]
  • PySP: modeling and solving stochastic programs in Python. Although stochastic programming is a powerful tool ... relates to the difficulty of solving stochastic programming models, particularly in the mixed-integer ... stochastic program in PySP, the user specifies both the deterministic base model (supporting linear ... these two models, PySP provides two paths for solution of the corresponding stochastic program...
  • Church

  • Referenced in 51 articles [sw08946]
  • generative models. We introduce Church, a universal language for describing stochastic generative processes. Church ... based on the Lisp model of lambda calculus, containing a pure Lisp as its deterministic ... stochastic memoizer, which enables simple description of many complex non-parametric models. We illustrate language...
  • SPACE

  • Referenced in 36 articles [sw04716]
  • Fitting or Estimation of the stochastic process model parameters Cross validation of the model...