I design and deploy high-impact systems built on LLMs, local inference, and agent architectures. I design and deploy high-impact systems built on LLMs, local inference, and agent architectures. I ...

Abstract: Large language models (LLMs) have made significant progress in the field of natural language processing, but research on MATLAB code generation remains relatively scarce. As a programming ...

A highly modular simulation framework of Monte-Carlo methods, based on the Ising Model in a 2D spin lattice. Producing results for the macroscopic properties of the system via simulation and ...

Many computational problems in modern-day statistics are heavily dependent on Markov chain Monte Carlo (MCMC) methods. These algorithms allow us to evaluate arbitrary probability distributions; ...

ABSTRACT: In this work we consider a stochastic volatility model, commonly used in financial time series studies, to analyse ozone data. The model considered depends on some parameters and in order to ...

This paper studies the algorithms for coding and decoding Prufer codes of a labeled tree. The algorithms for coding and decoding Prufer codes of a labeled tree in the literatures require time usually.

This work presents a version of the Metropolis–Hastings algorithm using quasi-Monte Carlo inputs. We prove that the method yields consistent estimates in some problems with finite state spaces and ...