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» A Monte-Carlo AIXI Approximation
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MOR
2007
140views more  MOR 2007»
13 years 7 months ago
Adaptive Control Variates for Finite-Horizon Simulation
Adaptive Monte Carlo methods are simulation efficiency improvement techniques designed to adaptively tune simulation estimators. Most of the work on adaptive Monte Carlo methods h...
Sujin Kim, Shane G. Henderson
SIAMJO
2002
124views more  SIAMJO 2002»
13 years 7 months ago
The Sample Average Approximation Method for Stochastic Discrete Optimization
In this paper we study a Monte Carlo simulation based approach to stochastic discrete optimization problems. The basic idea of such methods is that a random sample is generated and...
Anton J. Kleywegt, Alexander Shapiro, Tito Homem-d...
WSC
2004
13 years 8 months ago
Approximating Free Exercise Boundaries for American-Style Options Using Simulation and Optimization
Monte Carlo simulation can be readily applied to asset pricing problems with multiple state variables and possible path dependencies because convergence of Monte Carlo methods is ...
Barry R. Cobb, John M. Charnes
SIAMSC
2008
99views more  SIAMSC 2008»
13 years 7 months ago
Monte Carlo Greeks for Financial Products via Approximative Transition Densities
In this paper we introduce efficient Monte Carlo estimators for the valuation of high-dimensional derivatives and their sensitivities ("Greeks"). These estimators are ba...
Jörg Kampen, Anastasia Kolodko, John Schoenma...
IPPS
2008
IEEE
14 years 1 months ago
Reducing the run-time of MCMC programs by multithreading on SMP architectures
The increasing availability of multi-core and multiprocessor architectures provides new opportunities for improving the performance of many computer simulations. Markov Chain Mont...
Jonathan M. R. Byrd, Stephen A. Jarvis, A. H. Bhal...