(quasi) Monte Carlo simulation
Analyze Monte Carlo Simulation Applications for Project Management
... the Monte Carlo simulation method and its uses in various fields, focusing primarily on its use in the field of project ...management. Monte Carlo simulation becomes more popular ...
8
Exact Monte Carlo simulation of killed diffusions
... exact simulation of reflected Brownian motion with drift and to the approxi- mation of reflected ...for Monte Carlo simulation of ν can be computationally expensive involving the ...
26
Development of Schedule Reserve Using Monte Carlo Simulation
... Abstract: This paper deals with the Schedule reserve using probabilistic project risk analysis .For this purpose three cases are used to step through the process. It deals with Risk based determination of reserve through ...
9
Prediction of Stock Price Movements using Monte Carlo Simulation
... II. MONTE CARLO SIMULATION Monte Carlo simulations are used to model the probability of different outcomes in a process that cannot easily be predicted due to randomness in the movement ...
5
Monte carlo simulation of the CGMY process and option pricing
... a Monte Carlo simulation method for the CGMY process based on sampling from CDF obtained by Fourier transform ...the simulation of the CGMY using its Brownian subordination represen- ...
45
A Monte Carlo Simulation Framework to Track Panama NDC Target
... second simulation evaluates the phenomenon of El ...This simulation also incorporates the use of a binomial distribution with parameters n=1 and probability ...
10
Multilevel and quasi Monte Carlo methods for uncertainty quantification in particle travel times through random heterogeneous porous media
... four Monte Carlo simulation methods, namely, Monte Carlo, quasi-Monte Carlo, multilevel Monte Carlo and multilevel quasi-Monte ...
19
Monte Carlo simulation as a service in the Cloud
... software simulation to calculate risk and pricing using techniques like Monte Carlo simulation take hours to complete (MacKenzie and Spears, ...
17
Pricing Callable Bonds Based on Monte Carlo Simulation Techniques
... There are some different approaches for pricing call- able bonds. The first approach is based on the Black- Derman-Toy model, which was presented in [1] (2006), with the discrete simulation of binary tree. With ...
5
Goal setting of EEOI for chemical tankers by Monte Carlo simulation
... In accordance with the current regulations, the compa- nies have to investigate the suitability of the applied operational measures; to assess the available solutions for the energy efficiency improvement of their fleet; ...
7
dsmcFoam+ : an OpenFOAM based direct simulation Monte Carlo solver
... a simulation during the run-time of a problem, meaning the data storage requirements of the application can vary significantly during the course of a problem’s ...
22
Monte Carlo simulation of kinetically slowed down phase separation
... the simulation of gelation or kinetically slowed down phase separation where clusters are not spherical, are allowed to break, have low internal crystallinity, and their acceptance probability may change during ...
13
Monte Carlo simulation for urban water supply infrastructure availability
... computer simulation is an attempt to model a real-life or hypothetical situation on a computer so that it can be studied to see how the system ...study Monte Carlo simulation of water ...
8
Estimation bias due to duplicated observations: a Monte Carlo simulation
... To assess how duplicate records bias results of OLS regression we use a Monte Carlo simulation. Our analysis consists of four main steps. In the first step we generate the initial dataset. In the ...
19
Optimized Terminal Current Calculation for Monte Carlo Device Simulation
... within Monte Carlo charge transport simulations is particle ...moment-based simulation methods from the errors asso- ciated with numerical differentiation in highly doped contact regions [1], ...
6
Monte Carlo simulation of electrolyte solutions in biology: in and out of equilibrium
... MD solves the Newtonian equations of motions that form a system of partial differential equations. Several integration schemes have been developed during the decades of which the most efficient are built into standard ...
27
Simulation sample sizes for Monte Carlo partial EVPI calculations
... efficient Monte Carlo sampling, but with the disadvantages that it is far more complex to program initially and is not always feasible for models with large numbers of uncertain input parameters ...
39
Monte Carlo Simulation of a Two-Factor Stochastic Volatility Model
... randomized quasi-Monte Carlo method is then ap- plied to our vanilla European call option pricing problem under the two factor stochastic volatility ...crude Monte Carlo ...crude ...
6
Confidence bands for Brownian motion and applications to Monte Carlo simulation
... The first author is grateful to Sigurd Assing and to Larbi Alili for helpful conversations about boundary problems. The second author is grateful to Cather- ine Loader for sending him R programs related to the ...
12
Variance in system dynamics and agent based modelling using the SIR model of infectious diseases
... ABM simulation showed that the overall peak total infection remained stable between ...each simulation has a closer fit with the curve for the empirical ...
7