Optimal Design and Related Areas in Optimization and Statistics

1. W-Iterations and Ripples Therefrom
B. Torsney

2. Studying Convergence of Gradient Algorithms Via Optimal Experimental Design Theory
R. Haycroft, L. Pronzato, H. P. Wynn, A. Zhigljavsky

3. A Dynamical-System Analysis of the Optimum s-Gradient Algorithm
L. Pronzato, H.P. Wynn, A. Zhigljavsky

4. Bivariate Dependence Orderings for Unordered Categorical Variables
A. Giovagnoli, J. Marzialetti, H. P. Wynn

5. Methods in Algebraic Statistics for the Design of Experiments
G. Pistone, E. Riccomagno, M. P. Rogantin

6. The Geometry of Causal Probability Trees that are Algebraically Constrained
E. Riccomagno, J. Q. Smith

7. Bayes Nets of Time Series: Stochastic Realizations and Projections
P. E. Caines, R. Deardon, H. P. Wynn

8. Asymptotic Normality of Nonlinear Least Squares under Singular Experimental Designs
A. Pázman, L. Pronzato

9. Robust Estimators in Non-linear Regression Models with Long-Range Dependence
A. Ivanov, N. Leonenko

Avainsanat: Mathematics, Operations Research, Mathematical Programming, Statistics, general, Optimization, Algorithm Analysis and Problem Complexity, Algorithms