Search
New Code
Paste phpSoftPro 1.4.1
Bytescout PDF SDK 1.8.1.243
Odoo Crafito Theme 1.0
Uber Clone- Taxi Booking App 4.1
Excel Add-in for BigCommerce 1.7
Online Food Delivery Script php 1.0.3
Break Script | Youtube Clone Script 1.0.3
Advanced Content Manager Magento 2 extension 2.2.x
dbForge Studio for PostgreSQL 1.0
ODBC Driver for Salesforce MC 1.3
Social Media Script 1.0
ByteScout PDF Renderer SDK 9.0.0.3079
Magento Mobile App Builder 2.0.0
Binary MLM Plan 1.0.2
Review Assistant 4.0
Top Code
Output Messenger 1.8.0
Aliexpress Clone- Ec21 Script 1
Indiegogo Clone 3.0
Online Food Ordeing System 1.0
PHP Image Resize Script 1.0
Best Spotify Clone 1.0
Get Random Record Based on Weight 1.0.0
PHP Point of sale 10.0
Travel Portal Script 9.29
Magento Product Designer 1.0
OFOS - Just Eat Clone Script 1.0
PrestaShop Upload Images Module 1.2.1
Trading Software 1.2.4
Deals and Discounts Website Script 1.0.2
ADO.NET Provider for ExactTarget 1.0
Code Listing by Panagiotis Braimakis

Code 1-6 of 6   






This m-file produces random numbers from the negative Binomial distribution using one of four methods and it tests which is faster.



Online Simulation of Brownian motion in 2d, 3d. Stock Simulation with EWMA, GARCH(1,1). One factor equilibrium interest rate model simulations, estimation and residual testing using Euler's appr. Monte Carlo option pricing with stochastic interest...



This last m-file is an add-on to the Statistics Toolbox since it produces n variables of the inverse normal with the parameters of your request,ektos autwn an den eiste ellhnes ti na to kanete? ......



Well, i made this function some time ago and its purpose was to fit the Universe of the Greek stock market. After having grabbed my information to some matrices, vectors, god knows what, i decided to use it to price interest rate derivatives! I...



It works just fine, download it only if you re ok with programming. You will have to know what EM is before downloading it.



Gibbs sampler for sampling from the invariance Normal Inverse Gaussian distribution. (Bayesian scheme of Karlis & Lillestol (2004))