Example of Parameter Optimization for Least Squares Support Vector Machine Using Bayesian Inference
MATLAB implementation of Bayesian inference for optimizing Least Squares Support Vector Machine parameters with enhanced computational efficiency
Bayesian Inference for Stochastic Volatility Models Using Non-Gaussian Ornstein-Uhlenbeck Process Superposition
Source code implementation for Bayesian inference in stochastic volatility models through continuous superposition of non-Gaussian Ornstein-Uhlenbeck processes
MATLAB Implementation of Metropolis-Hastings Sampler
A MATLAB implementation of the Metropolis-Hastings sampling algorithm with detailed code descriptions and practical applications.
RJMCMC Algorithm with Resampling Step: Enhanced Bayesian Model Selection
Implementation of Reversible Jump Markov Chain Monte Carlo with resampling for improved model space exploration
Bayesian Inference for Optimizing Least Squares Support Vector Machine Parameters: A Practical Implementation
Practical Implementation of Bayesian Inference for Optimizing LSSVM Parameters with Code Integration
MATLAB Implementation of Particle Filter Algorithm
MATLAB Code Implementation of Particle Filter with Detailed Algorithm Explanation