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18 results with keyword: 'variance reduction techniques in monte carlo methods'

Variance Reduction Techniques in Monte Carlo Methods

Keywords: common random numbers, antithetic random numbers, importance sampling, control variates, conditioning, strati ed sampling, splitting, quasi Monte Carlo.. JEL: C0,

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2021
Variance Reduction Techniques of Importance Sampling Monte Carlo Methods for Pricing Options

Keywords: Monte Carlo Method; Importance Sampling; Variance Reduction; Option

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2020
Stabilized Numerical Methods for Stochastic Differential Equations driven by Diffusion and Jump-Diffusion Processes

Keywords: Stochastic Differential Equations, Diffusion Processes, Jump-Diffusion Processes, Monte Carlo Method, Variance Reduction Techniques, Multilevel Monte Carlo Method,

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VARIANCE REDUCTION TECHNIQUES FOR IMPLICIT MONTE CARLO SIMULATIONS

If a particle contained a weight larger than the upper bound of the weight window then the particle would be split into additional particles, and if a particle contained a weight

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2021
Class notes: Monte Carlo methods Week 2, Variance reduction Jonathan Goodman February 17, 2015

Class notes: Monte Carlo methods Week 2, Variance reduction.. Jonathan Goodman February

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Monte Carlo Simulation and Improvement of Variance Reduction Techniques

Observing the results, we find in the calculation, antithetic variable method can reduce 96% of the variance effectively; control variable method has the best effect, in which

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Variance Reduction Techniques for the Monte Carlo Simulation of Neutron Noise Measurements

This paper presents the theory and the methods to apply variance reduction techniques in the Monte-Carlo simulation of neutron noise experiments in a way that circumvents the above

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2021
American Monte Carlo option pricing under pure jump levy models

Our focus in this thesis is to implement the least squares Monte Carlo (including the variance reduction techniques and high bias from the dual method) and stochastic mesh methods

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Generating Random Numbers Variance Reduction Quasi-Monte Carlo. Simulation Methods. Leonid Kogan. MIT, Sloan , Fall 2010

Many special techniques for variance reduction: antithetic variables, control variates, stratified sampling, importance sampling, etc.. Recent developments: Quasi-Monte Carlo

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2022
Fast Monte Carlo Simulation for Pricing Covariance Swap under Correlated Stochastic Volatility Models

In this paper, by PDE method and Monte Carlo variance reduction techniques, the modeling and pricing of covariance swap derivatives under the correlated stochastic volatility

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Variance analysis of control variate technique and applications in Asian option pricing

Keywords : Monte Carlo simulation; Arithmetic Asian options; Variance reduction technique; Control variates;

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Variance analysis of control variate technique and applications in Asian option ‎pricing‎

Keywords : Monte Carlo simulation; Arithmetic Asian options; Variance reduction technique; Control variates;

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2020
Monte Carlo simulation techniques

To speed up the process there exist different variance reduction techniques and also Quasi Monte Carlo (QMC) simulation, where the integral is evaluated by using

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A New approach for Solving Transportation Problem

Suppose there are m factories called origins or sources produce aI (i=1,2……,m) units of products which are to be transported to n destinations with bJ (J=1,2,……,n) unity of

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Neutron Deep Penetration Calculations in Light Water with Monte Carlo TRIPOLI-4® Variance Reduction Techniques

Nuclear decommissioning takes place in several stages due to the radioactivity in the reactor structure materials. A good estimation of the neutron activation products distributed

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Iowa College Student Aid Commission Postsecondary Registration Administrator th Street, Fourth Floor Des Moines, IA (515)

An educational practitioner preparation program that is operated by a school that applies to register the program in accordance with this chapter must be accredited by an agency

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Some Advantages on Monte Carlo Integration using Variance Reduction Procedures

Also, based on robust linear regression and multiple control variates method an alternative method is proposed.. Keywords: Antithetic variates(AV); Multiple control variates

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Continuum radiative transfer

Several variance reduction techniques have been developed to improve the sam- pling of the Monte Carlo method: forced first scattering (Cashwell & Everett 1959), peel-o ff

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