John & Srivastava

John and Srivastava refer to researchers who have contributed to statistical and machine learning theories, particularly in the area of high-dimensional data analysis and dimensionality reduction. Their work often involves developing methods to identify relevant features or patterns in large datasets, helping improve predictions and understanding of complex systems. Their contributions provide foundational techniques used in data science, such as feature selection and matrix analysis, enabling better insight and decision-making across various fields like finance, biology, and technology.