In today’s data-driven world, the ability to make accurate predictions and informed decisions is essential for businesses. From forecasting demand to detecting fraud, data science and statistics play ...

Abstract: In this paper, we propose a majorization-minimization (MM) based refinement strategy tailored for two-dimensional (2-D) unconditional maximum likelihood (UML) direction-of-arrival (DOA) ...

Phylogenetic models of molecular evolution are central to numerous biological applications spanning diverse timescales, from hundreds of millions of years involving orthologous proteins to just tens ...

Abstract: This paper applies Maximum Likelihood Estimation (MLE) to the identification of a stochastic error model of a gyroscope. The error model used for ...