
SPACE
 Referenced in 36 articles
[sw04716]
 space (Stochastic Process Analysis of Computer Experiments): The code is useful for analysis and global ... Fitting or Estimation of the stochastic process model parameters Cross validation of the model...

Church
 Referenced in 50 articles
[sw08946]
 Church, a universal language for describing stochastic generative processes. Church is based on the Lisp ... also includes a novel language construct, the stochastic memoizer, which enables simple description of many...

pomp
 Referenced in 41 articles
[sw10664]
 working with partially observed Markov processes (POMPs, AKA stochastic dynamical systems, statespace models). ’pomp...

SMART_
 Referenced in 33 articles
[sw04097]
 algorithms, are available. For the study of stochastic and timing behavior, both sparsestorage ... solution approaches are available when the underlying process is a Markov chain. In addition, discrete ... always applicable regardless of the stochastic nature of the process, but certain classes...

YUIMA
 Referenced in 42 articles
[sw11399]
 discretely observed fractional OrnsteinUhlenbeck process solution of the stochastic differential equation...

RobustGaSP
 Referenced in 6 articles
[sw26272]
 package RobustGaSP: Robust Gaussian Stochastic Process Emulation. Robust parameter estimation and prediction of Gaussian stochastic ... parameter estimation and prediction using Gaussian stochastic process emulator. See the reference: Mengyang Gu, Xiaojing...

URDME
 Referenced in 25 articles
[sw10400]
 modular framework for stochastic simulation of reactiontransport processes in complex geometries. We have developed ... URDME, a flexible software framework for general stochastic reactiontransport modeling and simulation. URDME uses ... Diffusion Master Equation formalism to model the processes under study. An interface to a mature...

MAGP
 Referenced in 9 articles
[sw14019]
 consider the class of realvalued stochastic processes indexed on a compact subset...

PEPA
 Referenced in 116 articles
[sw10692]
 Evaluation Process Algebra. PEPA tools: The PEPA process algebra is supported by the PEPA Eclipse ... model checking properties in the Continuous Stochastic Logic (CSL). Download the PEPA Eclipse Plug...

BioPEPAd
 Referenced in 5 articles
[sw10690]
 this paper, we enrich the stochastic process algebra BioPEPA, with the possibility of assigning ... actions, yielding a new nonMarkovian stochastic process algebra: BioPEPAd. This is a conservative ... approach, earlier presented in papers on the stochastic simulation of biological systems with delays. This ... generalized semiMarkov processes (GSMPs), as input for a delay stochastic simulation algorithm (DSSA...

GSHMC
 Referenced in 16 articles
[sw02631]
 dynamic information throughout the sampling process similar to stochastic Langevin and Brownian dynamics simulations...

Rate4Site
 Referenced in 7 articles
[sw35756]
 tree, as well as the underlying stochastic process. To demonstrate its potency, we study...

PALOMA
 Referenced in 6 articles
[sw20778]
 Markovian agents. We present a novel stochastic process algebra that allows the expression of models...

CASPA
 Referenced in 4 articles
[sw02863]
 efficient symbolic elimination algorithm for the stochastic process algebra tool CASPA. CASPA is a stochastic...

fptdApprox
 Referenced in 6 articles
[sw06381]
 time density functions associated to certain stochastic processes. Such a strategy is based...

HASL
 Referenced in 6 articles
[sw13330]
 verification of discrete event stochastic processes (DESP). HASL employs Linear Hybrid Automata (LHA) as machineries...

ctmm
 Referenced in 4 articles
[sw21677]
 relocation data as a continuoustime stochastic process. ctmm is an R package for analyzing ... tracking data as a continuoustime stochastic processes. Package features include FFT variogram and Lomb...

COSMOS
 Referenced in 5 articles
[sw13329]
 execution paths of a Discrete Event Stochastic Process (DESP), a class of stochastic models which...

DET2STO
 Referenced in 5 articles
[sw05102]
 DET2STO is a tool that transforms a stochastic version of a model written in AMPL ... then processed by the algebraic modeling language AMPL and optimized by a solver. Stochastic Programming ... described by an event tree. The stochastic process is assumed to be independent ... else than an extensive formulation of the stochastic programming version of the problem...

StochPy
 Referenced in 8 articles
[sw27252]
 Comprehensive, UserFriendly Tool for Simulating Stochastic Biological Processes. Singlecell and singlemolecule measurements...