- P.N. Gavriliadis, G.A. Athanassoulis, “Moment information for probability distributions, without solving the moment problem, II: Main-mass, tails and shape approximation”, Journal of Computational and Applied Mathematics, 229, no. 1, 2009, 7
- Robert M. Mnatsakanov, “Recovery of functions from transformed moments: A unified approach”, Communications in Statistics - Theory and Methods, 46, no. 7, 2017, 3174
- Jaakko Lehtomaa, “Estimating tails of independently stopped random walks using concave approximations of hazard functions”, J. Appl. Probab., 58, no. 3, 2021, 773
- Erik W. Grafarend, Joseph L. Awange, Linear and Nonlinear Models, 2012, 527
- Erik W. Grafarend, Joseph L. Awange, Linear and Nonlinear Models, 2012, 81
- Erik W. Grafarend, Joseph L. Awange, Linear and Nonlinear Models, 2012, 183
- Alexander Andreychenko, Linar Mikeev, Verena Wolf, “Model Reconstruction for Moment-Based Stochastic Chemical Kinetics”, ACM Trans. Model. Comput. Simul., 25, no. 2, 2015, 1
- Tilmann Gneiting, Johannes Resin, “Regression diagnostics meets forecast evaluation: conditional calibration, reliability diagrams, and coefficient of determination”, Electron. J. Statist., 17, no. 2, 2023
- Luc Devroye, Lancelot James, “On simulation and properties of the stable law”, Stat Methods Appl, 23, no. 3, 2014, 307
- Anthony G. Pakes, “Remarks on converse Carleman and Krein criteria for the classical moment problem”, J. Aust. Math. Soc., 71, no. 1, 2001, 81