1 - Differential-geometrical methods in statistics |
2 - Monte Carlo and quasi-Monte Carlo methods in scientific computing |
3 - An introduction to bispectral analysis and bilinear time series models |
4 - Approximate computation of expectations |
6 - Conjugate duality and the exponential Fourier spectrum |
7 - Contributions to a general asympotic statistical theory |
8 - Empirical processes |
9 - Functional relations, random coefficients, and nonlinear regression with application to kinetic data |
10 - Linear processes in function spaces : theory and applications |