1 - Probability theory : the logic of science |
2 - Measure theory and integration |
3 - Statistical decision rules and optimal inference |
4 - Limit theorems for stochastic processes |
5 - Planar maps, random walks and circle packing |
6 - Self-normalized processes. Limit theory and statistical applications |
7 - Weak convergence and empirical processes : with applications to statistics |
8 - Advances in probability theory : limit theorems and related problems |
9 - Analytic functions and distributions in physics and engineering |
10 - Applications of distributions in mathematical physics |