Covers percolation theory, absorbed polymers, giant molecules, phase transition, scaling assumptions, and universal behavior in percolation models.
Explores dependence, correlation, and conditional expectations in probability and statistics, highlighting their significance and limitations.
Covers bond percolation on a square lattice, discussing percolation phases, critical threshold, mean cluster size, and critical point scenarios.
Covers fundamental concepts in probability and statistics, emphasizing data analysis techniques and statistical modeling.
Introduces key concepts in probability and statistics, such as events, Venn diagrams, and conditional probability.
Explores continuous random variables, density functions, joint variables, independence, and conditional densities.
Introduces key concepts in probability and statistics, covering random experiments, events, intersections, unions, and more.
