“I was curious to establish a baseline for when LLMs are effectively able to solve open math problems compared to where they ...

Discover how negative convexity affects bond prices, key risks, and how to calculate it. Learn why mortgage and callable ...

Abstract: Reinforcement Learning is a branch of machine learning to learn control strategies that achieve a given objective through trial-and-error in the environment ...

Abstract: In this brief, we investigate the approximation theory (AT) of Bayesian recurrent neural network (BRNN) for stochastic time series forecasting (TSF) from a probabilistic standpoint. Due to ...