Noor Aishah clarified that solving this crisis extends beyond government regulation. She stressed that laws will have a ...

The growing issue of Child Sexual Abuse Material (CSAM) in the digital realm is not just a hidden crime, it leaves lasting ...

Abstract: The current econometric models have the disadvantages of low prediction accuracy and poor model fitting effect. To solve these problems, this study combines Markov chain Monte Carlo ...

MCMC obtained an interim injunction from the court to stop the spread of harmful content and prevent similar content from being republished. The Malaysian Communications and Multimedia Commission ...

Sampling from complicated probability distributions is a classically difficult computational problem. Recent research has employed quantum computers to sample from distributions that are complicated, ...

Markov Chain Monte Carlo methods have emerged as one of the premier approaches to estimating posterior distributions for use in Bayesian computations. Unfortunately, these methods often suffer from ...

The fmcmc R package provides a lightweight general framework for implementing Markov Chain Monte Carlo methods based on the Metropolis-Hastings algorithm. This implementation’s primary purpose lies in ...

Code accompanying the paper Manifold Markov chain Monte Carlo methods for Bayesian inference in a wide class of diffusion models. For the experiments with the FitzHugh–Nagumo model with noisy ...