Title: Computation-information gap in high-dimensional clustering. Abstract: We investigate the existence of a fundamental computation-information gap for the problem of clustering a mixture of ...

In the 21st century, artificial intelligence (AI) has emerged as a valuable approach in data science and a growing influence in medical research, 4-6 with an accelerating pace of innovation. This ...

NSF-CBMS Regional Conference Series in Probability and Statistics, Vol. 2, Empirical Processes: Theory and Applications (1990), pp. i-iii+v+vii-viii+1-86 (92 pages) ...

Research of the probability and statistics group includes particle systems, theoretical statistics, non-conventional random walks, random matrix theory, and random polynomials. Research interests also ...

Model building via linear regression models. Method of least squares, theory and practice. Checking for adequacy of a model, examination of residuals, checking ...

This course provides a solid basis for further study in statistics and data analysis or in pattern recognition and operations research. It is especially appropriate for students with an undergraduate ...

*Note: This course description is only applicable for the Computer Science Post-Baccalaureate program. Additionally, students must always refer to course syllabus for the most up to date information.