research papers on probability theory

Research papers on probability theory explore mathematical methods to analyze uncertainty and random events. They develop models to predict the likelihood of various outcomes, improve understanding of randomness, and solve complex problems in fields like finance, engineering, and science. These papers often introduce new theories, algorithms, or statistical tools that help quantify risk, optimize decision-making, and interpret data more accurately. By advancing foundational principles, they enable practical applications such as improving algorithms in machine learning or assessing the chances of rare events, ultimately helping us make better-informed choices in uncertain situations.