- Raimund M. Kovacevic, Alois Pichler, “Tree approximation for discrete time stochastic processes: a process distance approach”, Ann Oper Res, 235, no. 1, 2015, 395
- Oliver G. Ernst, Antje Mugler, Hans-Jörg Starkloff, Elisabeth Ullmann, “On the convergence of generalized polynomial chaos expansions”, ESAIM: M2AN, 46, no. 2, 2012, 317
- Victor V. Konev, Sergey E. Vorobeychikov, “Fixed accuracy estimation of parameters in a threshold autoregressive model”, Ann Inst Stat Math, 74, no. 4, 2022, 685
- Dana Düvelmeyer, “Ill‐posedness and multi‐parameter regularization in an identification problem for jump diffusion processes”, Proc Appl Math and Mech, 5, no. 1, 2005, 615
- Martin W. Cripps, Jeffrey C. Ely, George J. Mailath, Larry Samuelson, “Common Learning”, Econometrica, 76, no. 4, 2008, 909
- Luciano Pomatto, “Testable forecasts”, TE, 16, no. 1, 2021, 129
- Fred Espen Benth, Iben Cathrine Simonsen, “Metatimes, random measures and cylindrical random variables”, Modern Stochastics: Theory and Applications, 2021, 349
- Lluís Masanes, “Universally Composable Privacy Amplification from Causality Constraints”, Phys. Rev. Lett., 102, no. 14, 2009, 140501
- Christophe A. N. Biscio, Frédéric Lavancier, “Brillinger mixing of determinantal point processes and statistical applications”, Electron. J. Statist., 10, no. 1, 2016
- Igor G. Vladimirov, Ian R. Petersen, Matthew R. James, 2020 European Control Conference (ECC), 2020, 806