1. David Criens, “Stochastic processes under parameter uncertainty”, Journal of Mathematical Analysis and Applications, 538:2 (2024), 128388  crossref
  2. David Criens, Lars Niemann, “Markov selections and Feller properties of nonlinear diffusions”, Stochastic Processes and their Applications, 173 (2024), 104354  crossref
  3. A. Yu. Veretennikov, Springer INdAM Series, 56, Kolmogorov Operators and Their Applications, 2024, 315  crossref
  4. Alexander Schnurr, Sebastian Rickelhoff, “From Markov processes to semimartingales”, Probab. Surveys, 20:none (2023)  crossref
  5. Martina Hofmanová, Rongchan Zhu, Xiangchan Zhu, “Global-in-time probabilistically strong and Markov solutions to stochastic 3D Navier–Stokes equations: Existence and nonuniqueness”, Ann. Probab., 51:2 (2023)  crossref
  6. V. I. Bogachev, S. V. Shaposhnikov, “Fokker–Planck–Kolmogorov equations with a parameter”, Dokl. Math., 108:2 (2023), 357–362  mathnet  crossref  crossref  elib
  7. Martina Hofmanová, Rongchan Zhu, Xiangchan Zhu, “On Ill‐ and Well‐Posedness of Dissipative Martingale Solutions to Stochastic 3D Euler Equations”, Comm Pure Appl Math, 75:11 (2022), 2446  crossref
  8. Jorge Cardona, Martina Hofmanová, Torstein Nilssen, Nimit Rana, “Random dynamical system generated by the 3D Navier-Stokes equation with rough transport noise”, Electron. J. Probab., 27:none (2022)  crossref
  9. Marco Rehmeier, “Flow selections for (nonlinear) Fokker–Planck–Kolmogorov equations”, Journal of Differential Equations, 328 (2022), 105  crossref
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  20. Svetlana V. Anulova, Hilmar Mai, Alexander Yu. Veretennikov, “On Iteration Improvement for Averaged Expected Cost Control for One-Dimensional Ergodic Diffusions”, SIAM J. Control Optim., 58:4 (2020), 2312  crossref
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