Solvability and Numerical Solution of Variational Data Assimilation Problems. - Victor P. Shutyaev (System Modelling and Optimization, 2003)

On Analysis Error Covariances in Variational Data Assimilation. - I. Yu. Gejadze; François-Xavier Le Dimet; Victor P. Shutyaev (SIAM J. Sci. Comput., 2008)

On optimal solution error covariances in variational data assimilation problems. - I. Yu. Gejadze; François-Xavier Le Dimet; Victor P. Shutyaev (J. Comput. Phys., 2010)

Computation of the analysis error covariance in variational data assimilation problems with nonlinear dynamics. - I. Yu. Gejadze; G. J. M. Copeland; François-Xavier Le Dimet; Victor P. Shutyaev (J. Comput. Phys., 2011)

On Computation of the Design Function Gradient for the Sensor-Location Problem in Variational Data Assimilation. - I. Yu. Gejadze; Victor P. Shutyaev (SIAM J. Sci. Comput., 2012)

On gauss-verifiability of optimal solutions in variational data assimilation problems with nonlinear dynamics. - I. Yu. Gejadze; Victor P. Shutyaev (J. Comput. Phys., 2015)

On the use of derivatives in the polynomial chaos based global sensitivity and uncertainty analysis applied to the distributed parameter models. - I. Yu. Gejadze; Pierre-Olivier Malaterre; Victor P. Shutyaev (J. Comput. Phys., 2019)

Sensitivity of response functions in variational data assimilation for joint parameter and initial state estimation. - Victor P. Shutyaev; François-Xavier Le Dimet; Eugene I. Parmuzin (J. Comput. Appl. Math., 2020)

4D Technology of Variational Data Assimilation for Sea Dynamics Problems. - Victor P. Shutyaev; Valery I. Agoshkov; Vladimir B. Zalesny; Eugene I. Parmuzin; Natalia B. Zakharova (Supercomput. Front. Innov., 2022)

A Bayesian-variational cyclic method for solving estimation problems characterized by non-uniqueness (equifinality). - I. Yu. Gejadze; Victor P. Shutyaev; H. Oubanas; Pierre-Olivier Malaterre (J. Comput. Phys., 2023)

Neural Networks for Portfolio Analysis in High-Frequency Trading. - Xinwei Cao; Chen Peng; Yuhua Zheng; Shuai Li 002; Tran Thu Ha; Victor P. Shutyaev; Vasilios N. Katsikis; Predrag S. Stanimirovic (IEEE Trans. Neural Networks Learn. Syst., 2024)