Monte Carlo Method Implementation Program
Core source code for Monte Carlo method implementation, providing multiple distribution types for random variables with ready-to-use functionality.
Markov Chain Monte Carlo Simulation Method
This program implements the Markov Chain Monte Carlo simulation method, which serves as an essential tool for Bayesian estimation, featuring algorithms for probabilistic sampling and parameter space exploration.
Monte Carlo Simulation: A Computational Method for Risk Analysis and Predictive Modeling
Monte Carlo Simulation Method - A Random Sampling-Based Computational Algorithm with Applications in Finance, Physics, and Engineering