Main Lectures -- 1 Stochastic Differential Systems With Memory. Theory, Examples and Applications -- 2 Backward Stochastic Differential Equations and Viscosity Solutions of Systems of Semilinear Parabolic and Elliptic PDEs of Second Order -- Contributed Papers -- 3 Stochastic Analysis on Lie Groups -- 4 A Conditional Independence Property for the Solution of a Linear Stochastic Differential Equation with Lateral Conditions -- 5 Numerical Solution of the Pressure Equation for Fluid Flow in a Stochastic Medium -- 6 The Burgers Equation with a Non-Gaussian Random Force -- 7 A Verification Theorem for Combined Stochastic Control and Impulse Control -- 8 Energy Identities and Estimates for Anticipative Stochastic Integrals on a Riemannian Manifold -- 9 On Conditional Characteristic Functions of Second Order Wiener Functionals -- 10 A Variation of Parameters Solution of a Quasilinear Skohorod SDE using the Wick Product -- 11 Diagonal Estimates of Transition Densities for Jump Processes in Small Time -- 12 Non-Kolmogorov Probabilistic Models with p-adic Probabilities and Foundations of Quantum Mechanics -- 13 Smoothness of the Solution Operator of Stochastic Differential Equations with Infinite Dimensional Parameters -- 14 Nonlinear SPDEs: Colombeau Solutions and Pathwise Limits -- 15 Construction of a Quantum Field Linked to the Coulomb Potential -- 16 The Sard Inequality on Two Non-Gaussian Spaces -- 17 Regularity of the Law for a Class of Anticipating Stochastic Differential Equations -- 18 Fubiniโs Theorem for Plane Stochastic Integrals -- 19 Stability and Vanishing Viscosity for a Class of SPDEs Related to Turbulent Transport -- 20 Probabilistic Interpretation of the Symmetry Group of Heat Equations -- 21 On the Strong Feller Property of the Semi-Groups Generated by Non-Divergence Operators with LP Drift

1. Mathematics
2. Probabilities
3. Statistics
4. Mathematics
5. Probability Theory and Stochastic Processes
6. Statistical Theory and Methods