Marisa Monte Letras

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...

An enhancement of the successful Consideo Modeler. It's the first easy to use tool to run scenarios (System Dynamics) on constraints (ToC) and the critical chain of processes and projects. Connect to MS-Project, Excel or SQL, create management cockpits, identify risks and levers, non linear...


Platforms: Mac

Have you ever wondered how much income you could reliably maintain from your investments and wished that you could have a practice run? The Practice Navigator allows you to do just that. It simulates real-life stock market variability so that you can practice making investment decisions without...


Platforms: Windows

1 Introduction This toolbox implements all the routine PLS-related/based algorithms which kind of serves as the basics in chemometrics, including PLS calibration and prediction, leave one out cross validation (LOOCV), K-fold cross validation, Monte Carlo cross validation(MCCV), double cross...


Platforms: Matlab

PokerCruncher surpasses even PokerStove's features, e.g. range equity breakdown heat maps and hand combos stats. Full grid of all 169 starting hands, top x% of hands slider, extensive built-in hand ranges, save/load/export hand ranges, ???*A* Hand histograms, flop hit stats, odds for flopping...


Platforms: Mac

MCX is a Monte Carlo simulation software for static or time-resolved photon transport in 3D media. It uses GPU-based massively parallel computing techniques and is extremely fast compared to the traditional single-threaded CPU-based simulations.


Platforms: Windows, Mac, Linux

The solution of the nearest correlation matrix applies the hypershpere or spectral decomposition methods as outlined in Monte Carlo methods in Finance by Peter Jackel, Chapter 6.Use CorrelationExample.m that applies a simple example for the two cases.


Platforms: Matlab

This toolbox is a fully object-oriented toolbox with a GUI for Bayesian Wavelet Networks. It is easy to use.The training method is used here is one of powerfull, off-line training algorithm, called Hybrid Markov Chain Monte Carlo- based Bayesian Approach.Also, You can easily add your own function...


Platforms: Matlab

To calculate an area S(A) of a figure A, bounded by a Jordan curve (which in our case is constructed by a cubic splineapproximation) the Monte Carlo method is applied


Platforms: Matlab

Un programa para cambiar el orden de las palabras en una frase o las letras de una palabra u otros algoritmos. Su principal objetivo es cambiar las frases para hacerlas mas ilegibles o para aparentar ser más friki en tus conversaciones o por diversi


Platforms: Windows, Mac, Linux

Simulation model to accompany the article, "Monte-Carlo Simulation in MATLAB Using Copulas" in the November 2003 issue of MATLAB News&Notes. The function METAPOP runs the metapopulation simulation model described in the article.MATLABdlT«'s Statistics Toolboxd-OC?D? includes a variety of...


Platforms: Matlab

Applying the inverse transform method to the normal distribution entails evaluation of the inverse normal. This is the Beasley-Springer-Moro algorithm for approximating the inverse normal.Input: u, a sacalar or matrix with elements between 0 and 1Output: x, an approximation for the inverse normal...


Platforms: Matlab

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

a gui which allow measuring an areas size and a paths length on an image (map).You can calibrate the image scale.You place points using left mouse button and remove points & areas with right mouse button.You have three different methods of measuring the area surface:1. Monte-Carlo.2....


Platforms: Matlab

This program performs a Monte Carlo simulation of a coherent QPSK communication system and plot the error probability performance over additive whit Gaussian noise channel. The detection is based on correlation metric. Simulation is performed for 10,000 bits and measurements are made accordingly.


Platforms: Matlab

This GUI accepts the various constants needed to run a Black-Scholes calculation for pricing several European options:Put, Call, Straddle, Strangle, Bull Spread, Bear Spread, ButterflyIt plots the pricing surface for the appropriate option and then runs a number of Monte Carlo simulations (d


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

A fast implementation of particle filter dedicaced to multitarget tracking with bearing only measurements. For the multitarget data association problem, a gibbsampler is used to estimate target association probabilities.Ref : "Sequential Monte-Carlo methods for multple target tracking and data...


Platforms: Matlab

Introduction to Stochastic Search and Optimization is an overview of the principles, algorithms, and practical aspects of stochastic optimization, including applications drawn from engineering, statistics, and computer science. The book may serve as either a reference book for researchers and...


Platforms: Matlab