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 - Martingale limit theory and its applications |
6 - Planar maps, random walks and circle packing |
7 - Self-normalized processes. Limit theory and statistical applications |
8 - Weak convergence and empirical processes : with applications to statistics |
9 - Advances in probability theory : limit theorems and related problems |
10 - Analytic functions and distributions in physics and engineering |









