
MCQueue
 Referenced in 147 articles
[sw05198]
 waitingtime 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), 759774 (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 TimeVarying 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 discretetime stochastic models easily, building on loglinearizing 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 modelchecking algorithms, are available. For the study of stochastic and timing behavior ... stochastic nature of the process, but certain classes of nonMarkov 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]
 maximumlikelihood 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 ageperiodcohort stochastic...

VESTA
 Referenced in 25 articles
[sw08425]
 expected values of temporal expressions. For modelchecking VESTA uses a sequence of interrelated ... 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 mixedinteger ... 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 nonparametric models. We illustrate language...

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