Gaussian Distribution

Gaussian distributions are fundamental probability distributions used extensively in statistics and machine learning, with research focusing on efficient parameter estimation, particularly in high-dimensional settings and under conditions like data truncation or corruption. Current research explores advanced algorithms, including those based on normalizing flows, Langevin dynamics, and transformer networks, to improve estimation accuracy and computational efficiency for various applications. These advancements have significant implications for diverse fields, impacting areas such as robust statistics, generative modeling, and high-dimensional data analysis.