Add to ORKGMotivation: Stochastic simulation is a very important tool for mathe-matical modelling. However it is difficult to check the correctness of a stochastic simulator, since any two realisations from a single model will typically be different. Results: We have developed a test suite of stochastic models which have been solved either analytically or using numerical methods. This allows the accuracy of stochastic simulators to be tested against known results. The test suite is already being used by a number of stochastic simulator developers. Availability: The latest version of the test suite can be obtained fro
In recent years it has become increasingly clear that stochasticity plays an important role in many ...
<p>We calibrate a stochastic computer simulation model of “moderate” computational expense. The simu...
<div><p></p><p>We calibrate a stochastic computer simulation model of ‘moderate’ computational expen...
Motivation: Stochastic simulation is a very important tool for mathematical modelling. However, it i...
The complete validation of an econometric model is a process which involves a formidable number of a...
This report documents stochastic simulations of the quarterly macroeconometric model KVARTS91, imple...
PLEASE NOTE Page ii is missing from the original copyResponse surface methods are discussed, with em...
The stochastic simulation of an econometric model is an application of Monte Carlo methods. Determin...
We present StochSS: Stochastic Simulation as a Service, an integrated development environment for mo...
Statistical models are the traditional choice to test scientific theories when observations, process...
We present StochSS: Stochastic Simulation as a Service, an integrated development environment for mo...
Stochastic simulation models are used to predict the behavior of real systems whose components have ...
Visual Analytics offers various interesting methods to explore high dimensional data interactively. ...
Dynamic simulation modelling of complex biological processes forms the backbone of systems bi-ology....
For systems made up of a small number of molecules, such as a biochemical network in a single cell, ...
In recent years it has become increasingly clear that stochasticity plays an important role in many ...
<p>We calibrate a stochastic computer simulation model of “moderate” computational expense. The simu...
<div><p></p><p>We calibrate a stochastic computer simulation model of ‘moderate’ computational expen...
Motivation: Stochastic simulation is a very important tool for mathematical modelling. However, it i...
The complete validation of an econometric model is a process which involves a formidable number of a...
This report documents stochastic simulations of the quarterly macroeconometric model KVARTS91, imple...
PLEASE NOTE Page ii is missing from the original copyResponse surface methods are discussed, with em...
The stochastic simulation of an econometric model is an application of Monte Carlo methods. Determin...
We present StochSS: Stochastic Simulation as a Service, an integrated development environment for mo...
Statistical models are the traditional choice to test scientific theories when observations, process...
We present StochSS: Stochastic Simulation as a Service, an integrated development environment for mo...
Stochastic simulation models are used to predict the behavior of real systems whose components have ...
Visual Analytics offers various interesting methods to explore high dimensional data interactively. ...
Dynamic simulation modelling of complex biological processes forms the backbone of systems bi-ology....
For systems made up of a small number of molecules, such as a biochemical network in a single cell, ...
In recent years it has become increasingly clear that stochasticity plays an important role in many ...
<p>We calibrate a stochastic computer simulation model of “moderate” computational expense. The simu...
<div><p></p><p>We calibrate a stochastic computer simulation model of ‘moderate’ computational expen...