| Projects on Google Code | Results 1 - 10 of 28 |
Etude et simulation des différentes méthodes d'estimation de la Value-at-Risk
Software estimation
ECsPy (pronounced "easy as pie") is a free, open source framework for creating evolutionary computations in Python. Additionally, ECsPy provides an easy-to-use canonical genetic algorithm (GA), evolution strategy (ES), estimation of distribution algorithm (EDA), differential evolution algorithm (DEA...
python,
optimization,
evolutionary,
computation,
genetic,
algorithm,
particle,
swarm,
estimation,
distribution,
differential,
evolution,
multiobjective,
nsga-ii,
nsga2
student project
The pyvol project is framework for testing volatility forecasting ideas in financial (or other) time series.
Pyvol provides an easy way for researchers to share and compare volatility estimation approaches. A researcher can subclass the {{{CovEstimator}}} class in {{{pyvolest.est.CovEst}}} and us...
SS-PARSE stands for Single Shot Parameter Assessment by Retrieval from Signal Encoding. This is a novel magnetic resonance imaging technique that uses an improved spin system model to extract more information from the RF signal than traditional techniques. This site will be updated to show the lates...
http://www.sundog.net/images/logo_sundog.gif
Sundog Planning Poker Application for the Android Platform (http://www.sundog.net)
Parametric cost estimating essentially consists in deriving mathematical expressions relating cost with a number of significant cost drivers.
*Parametric cost models* are representation of parametric cost estimating relationships that provides a logical and predictable correlation between the phy...
=PyMC=
Bayesian estimation, particularly using Markov chain Monte Carlo (MCMC), is an increasingly relevant approach to statistical estimation. However, few statistical software packages implement MCMC samplers, and they are non-trivial to code by hand. PyMC is a python module that implements the...
== Introduction ==
Our primary objective is to provide a framework for testing navigation algorithms. This testbed will help a user to define a specific navigation problem, which consists of a dynamic model and one or more sensing models. To solve the problem, the testbed will also offer a libra...