Explores interlacing polynomials, real rooted theorems, and pseudo-probabilistic methods in polynomial analysis.
Covers topics related to probability and statistics, including finding specific values and significant events.
Explores dependence, correlation, and conditional expectations in probability and statistics, highlighting their significance and limitations.
Covers the fundamental concepts of probability and statistics, including interesting results, standard model, image processing, probability spaces, and statistical testing.
Introduces key statistical concepts like probability, random variables, and correlation, with examples and explanations.
Introduces key concepts in probability and statistics, such as events, Venn diagrams, and conditional probability.
Introduces key concepts in probability and statistics, covering random experiments, events, intersections, unions, and more.
Explores the construction of Ramanujan graphs using polynomials and addresses challenges with the probabilistic method.
