Bayesian Theory

Exercises and case studies for a rigorous approach to risk- and portfolio-management. This booklet stems from the review sessions of the six-day ARPM bootcamp.Contents include:Advanced multivariate statistics; copula-marginal decompositionAnnualization/projection (FFT, cumulants,... Platforms: Matlab

Written for undergraduate and graduate-level courses in control theory, this introductory text provides comprehensive coverage of classical and state-space approaches to control system design. Platforms: Matlab

This book focuses on the theory, implementation, and applications of subspace identification algorithms for linear time-invariant finite-dimensional dynamical systems.For a full book description and ordering information, please refer to http://www.mathworks.com/support/books/book1458.jsp. Platforms: Matlab

MATLAB routines for the following Adaptive Resonance Theory Algorithms: Art1, Artmap, Fuzzy Art, Fuzzy Artmap. These routines are described and their usage explained in Appendix A of the book "Adaptive Resonance Theory Microchips", Kluwer Academic Publishers, ISBN 0-7923-8231-5. Chapter 1 of the... Platforms: Matlab

Written in Chinese, this book presents the theory of control systems with the aid of MATLAB.For a full book description and ordering information, please refer to http://www.mathworks.com/support/books/book1743.jsp. Platforms: Matlab

This book represents a modern and thorough treatment of classical control theory and application concepts.For a full book description and ordering information, please refer to http://www.mathworks.com/support/books/book1292.jsp. Platforms: Matlab

Three case studies: random matrix theory for estimation vs. cross-sectional model for attribution; hedging based on full-repricing instead of Black-Scholes deltas; heuristcs for best K attribution/hedging factors out NTo walk through the code and for a thorough description, seeMeucci A., "Factors... Platforms: Matlab

Using the Double Group Formulation of k.p Theory, one may return full zone bulk band diagrams for SiGe alloys. Second order degenerate perturbation theory returns effective mass Hamiltonians and canonical transformations may return arbitrary oriented growth directions.This all inclusive code will... Platforms: Matlab

BayesianKit - Cocoa Objective-C Framework for a naive bayesian classifier BayesianKit is a Mac OS X Framework written by Samuel Mendes in Objective-C 2.0 and released under BSD 3-clauses license. BayesianKit offers a simple, ready to use, implementation for a bayesian classifier. A command line... Platforms: Mac

Belief networks (also called Bayesian networks or causal networks) are a representation for independence amongst random variables for probabilistic reasoning under uncertainty. The purpose of this tool is to illustrate how probabilities are updated given new evidence in a belief network, and... Platforms: Mac

The Kepler System model simulates Kepler's final theory of planetary motion. In this theory the planets orbit in ellipses with Sun at one focus (Kepler's First law). These elliptical orbits are not necessarily all in the same plane. A line from Sun to the planet sweeps out equal areas in equal... Platforms: Mac

The Ejs Celestial Globe model simulates the Two Sphere Universe theory of the Ancient Greeks. This theory supposes the stars to be fixed on the surface of a Celestial Sphere, with the spherical Earth at the center of this sphere. The simulation shows the motion of Sun and stars in this model, as... Platforms: Mac

Recent studies describe that the level of gene expression between species is positively correlated with the time that has passed since the species split from a common ancestor (Ranz et al., 2006). Moreover, Khaitovich et al. (2004) found a linear relationship between divergence time and... Platforms: Mac

Bayesian hierarchical clustering methods provide a powerful tool for phylogenetic analysis, linguistic research and hierarchical clustering in general such as applied in marketing, political science, customer preference grouping etc. Bayesian methods use MCMC sampling which results in a large... Platforms: Mac

TaQuilla enables "soft tags" on Thunderbird, which are tags set by Bayesian analysis of the message content. Once you enable soft tagging of a particular tag, and train a few messages, then the tag is applied automatically to future messages. This description applied to revision 0.3.0 Notes on... Platforms: Mac

Pyndex is a simple and fast full-text indexer and Bayesian classifier implemented in Python. It uses Metakit as its storage back-end. It works well for quickly adding search to an application, and is also well suited to in-memory indexing and search. Platforms: *nix

The Real Option Valuation model encompasses a suite of option pricing tools to quantify the embedded strategic value for a range of investment scenarios. Traditional discounted cash flow investment analysis will only accept an investment if the returns on the project exceed the hurdle rate.... Platforms: Windows

Software developed to perform electromagnetic scattering simulations mainly based on classical Mie theory solution. ScatLab Features: scattered intensity polar diagrams for coated and uncoated spherical particles; scattered intensity versus theta graphs for coated and uncoated spherical... Platforms: Windows

KB Piano will turn your computer into a piano and more. Easily create song with multiple instruments (guitar, bass, drums, and vocals from your microphone). If you don't know music theory, use the application tools to automatically create guitar, bass, drums, and piano parts. Not only you... Platforms: Windows, Windows 8, Windows 7, Windows Server

A free Bayesian spam filtering plug-in for Outlook Express. Stops over 97% of spam. Platforms: Windows