Marisa Monte Letras

The script gf_mmc_driver.m runs multiple independent instances of a MMC method in parallel with MATLAB's Distributed Computing Toolbox. The outer loop in script gf_mmc_driver.m represents the basic MMC iteration, which initializes and runs a Markov chain and performs a Berg update. In each of the...

A collection of M-Files that provide a succesful implementation of the difficult problem of numerical computation of multivariate normal probabilities. This is very useful for the distributed detection with nuisance parameters and in classical multivariate problems. Two methods are used for which...

The bootstrap is a way of estimating the variability of a statistic from a single data set by resampling it independently and with equal probabilities (Monte Carlo resampling). Allows the estimation of measures where the underlying distribution is unknown or where sample sizes are small. Their...


Platforms: Matlab

The bootstrap is a way of estimating the variability of a statistic from a single data set by resampling it independently and with equal probabilities (Monte Carlo resampling). Allows the estimation of measures where the underlying distribution is unknown or where sample sizes are small. Their...


Platforms: Matlab

The codes follow the paper Radkov P. and Minkova L. (2011) "Assessing bank's default probability using the ASRF model", Serials Publications' IJTMM, to derivation of implied default probabilities from the Vasicek model (asymptotic single risk factor model) and Basel 2 framework. The method for...


Platforms: Matlab

The bootstrap is a way of estimating the variability of a statistic from a single data set by resampling it independently and with equal probabilities (Monte Carlo resampling). Allows the estimation of measures where the underlying distribution is unknown or where sample sizes are small. Their...


Platforms: Matlab

The bootstrap is a way of estimating the variability of a statistic from a single data set by resampling it independently and with equal probabilities (Monte Carlo resampling). Allows the estimation of measures where the underlying distribution is unknown or where sample sizes are small. Their...


Platforms: Matlab

The bootstrap is a way of estimating the variability of a statistic from a single data set by resampling it independently and with equal probabilities (Monte Carlo resampling). Allows the estimation of measures where the underlying distribution is unknown or where sample sizes are small. Their...


Platforms: Matlab

This programs discretizes the CEV (constant elasticity of volatilty process and uses the process to price an option using MonteCarlo methods.


Platforms: Matlab

this file showing how the Randomization in Monte-carlo method can get PI value (constant value)


Platforms: Matlab

Use this code to simulate basic microstructure evolution. This is quite an old code. Will post the updated code in 2D and 3D shortly. This version uses wrap boundary condition and the computation is a bit slower as against the new code. However, I am making some changes to the newer versions. So,...


Platforms: Matlab

This program estimates the failure probability of a superficial square footing on stiff consistency plastic soil; using two failure criteria, bearing capacity and maximum settlement.


Platforms: Matlab

The STP XY Model program implements a Monte Carlo simulation of the planar ferromagnet or XY Model of spins on a lattice. The simulation returns the configuration of spins with the option of showing the vortices. The default system is a lattice of linear dimension L = 20 at temperature T = 0.89....


Platforms: Mac

(p)IPHULA is a software that investigates parameters of population history based on a Monte Carlo simulation using the maximum likelihood framework. Further details on how to compile, install, run, and use this program can be found in the (p)IPHULA manual (PDF). Reference: The method is...


Platforms: Mac

The Fermat Light Ray model shows a light ray traveling left to right through N homogeneous regions with different refractive indicies. Because light travels in a straight line through a homogenous medium, the path is determined by the vertical coordinates at each boundary. A data table allows...


Platforms: Mac

The STP Hard Disks Metropolis program is a Monte Carlo simulation of hard disks in two dimensions. The default initial condition is a rectangular configuration of N=64 particles in a box of length L = 40. You can slowly increase the density of the gas (by setting the minimum scale length between...


Platforms: Mac

The STP 1DIsing program is a Monte Carlo simulation of a one-dimensional Ising model in equilibrium with a heat bath at temperature T using the Metropolis algorithm. The default is N=64 spins up (s = 1) with no external field with heat bath temperature T=1. STP Ising1D is part of a suite of Open...


Platforms: Mac

This software allows you perform six degree of freedom simulations of High Power Rocket (HPR) and model rocket flights. Parachute descent is also simulated. 3D flight trajectories are produced as well as detailed tabular flight data. Running in Monte Carlo mode allows generates multiple possible...


Platforms: Mac

poker-eval is a C library to evaluate poker hands. The result of the evalution for a given hand is a number. The general idea is that if the evalution of your hand is lower than the evaluation of the hand of your opponent, you lose. Many poker variants are supported (draw, holdem, omaha, etc.)...


Platforms: *nix

clupan is a tool for performing the cluster expansion and several Monte Carlo simulations in multicomponent alloys. clupan can be used for predicting ground state structures and evaluating phase diagrams on the basis of results of DFT calculations.


Platforms: *nix