Walk Throughs

Live a fantastic experience, watching a large selection of artworks in the Vatican Museums in Rome All in 3D environment, walk in ancient underground in a surreal atmosphere with background music. The highest picture quality

The zombie walks along and the player needs to draw bridges with the mouse to allow zombie to walk over traps. Plenty of fun and entertaining levels. Great graphics and cools sounds. Hours of creepy fun.

This script is an equivalent of os.path.walk(), but without callback function. A simple directory walker, without the burden of creating a callback for os.path.walk().This is also usefull for incremental directory walking (where you want to scan remaining directories in subsequent calls).


Platforms: Windows, Mac, *nix, Python, BSD Solaris

This script is an iterator that can be used to walk through directories.This class is intended to provide an iterator version of the os.listdir function. The interesting property of the iterator is that you can control if you want a deep iteration of directories with the 'deep' member.After...


Platforms: Windows, Mac, *nix, Python, BSD Solaris

Id-deOaom a big fan of using sprites for navigation menus. While they dond-deOaot offer the flexibility of a solely HTML & CSS menu due to the fact that you have to create a new graphic every time you want to change a menu item; sprites do offer you infinite styling possibilities limited only by...


Platforms: JavaScript

To walk through the code and for a thorough description, refer toA. Meucci (2009) , "Review of Statistical Arbitrage, Cointegration, and Multivariate Ornstein-Uhlenbeck",Latest version of article and code available at http://symmys.com/node/132


Platforms: Matlab

Discrete-time models: random walk, ARMA, fractional integration, GARCH). Continuous-time counterparts: Levy processes, Ornstein-Uhlenbeck, fractional Brownian motion, stochastic volatility, subordination.To walk through the code and for a thorough description, refer to A. Meucci (2009), "Review...


Platforms: Matlab

To walk through the code and for a thorough description, refer toSee A. Meucci (2009), "Managing Diversification"Latest version of article and code available at http://symmys.com/node/199


Platforms: Matlab

To walk through the code and for a thorough description, refer toA. Meucci, D. Ardia, S.Keel (2010) "Fully Flexible Extreme Views",Latest version of article and code available at http://symmys.com/node/159


Platforms: Matlab

To walk through the code and for a thorough description, refer toA. Meucci, "Fully Flexible Views: Theory and Practice"Latest version of article and code available at http://symmys.com/node/158


Platforms: Matlab

To walk through the code and for a thorough description, refer toMeucci, A. (2010) "Annualization and General Projection of Skewness, Kurtosis and All Summary Statistics"Latest version of article and code available at http://symmys.com/node/136


Platforms: Matlab

To walk through the code and for a thorough description, refer toA. Meucci, (2010) "Linear versus Compounded Returns: Common Pitfalls in Risk and Portfolio Management",Latest version of code and article available at http://symmys.com/node/141


Platforms: Matlab

The priors may be: Litterman random walk plus drift prior; Raynauld-Simonato seasonal random walk plus drift prior or Canova prior: seasonal and non-seasonal unit roots via stochastic constraints + Litterman prior. Combination is achieved using Theil-Goldberger mixed estimation.Estimation uses...


Platforms: Matlab

To walk through the code and for a thorough description, refer to A. Meucci, "A New Breed of Copulas for Risk and Portfolio Managemen", Risk (September 2011).Latest version of article and code available at http://symmys.com/node/335


Platforms: Matlab

To walk through the code and for a thorough description, refer to A. Meucci (2005), "Robust Bayesian Allocation".Latest version of article and code available at http://symmys.com/node/102


Platforms: Matlab

To walk through the code and for a thorough description, seeMeucci A., "Review of Dynamic Allocation Strategies"Latest version of article and code available at http://symmys.com/node/153


Platforms: Matlab

To walk through the code and for a thorough description, refer toA. Meucci, (2010) "Fully Flexible Bayesian Networks"Latest version of code and article available at http://www.symmys.com/node/152


Platforms: Matlab

Provides a step by step walk through of building a library / object file that can be used as part of a company wide build / distribution process.


Platforms: Matlab

The priors may be: Litterman random walk plus drift prior; Raynauld-Simonato seasonal random walk plus drift prior or Canova prior: seasonal and non-seasonal unit roots via stochastic constraints + Litterman prior. Combination is achieved using Theil-Goldberger mixed estimation.Estimation uses...


Platforms: Matlab

The demos contained in the zip file mpcademo.zip provide examples of application of visualization techniques in process applications. These demos goes together with the MathWorks News & Notes (Issue to appear in May, 2003) article, titled "USING VISUALIZATION TECHNIQUES FOR BATCH CONDITION...


Platforms: Matlab