Consistent Inverse Probability and Possibility Propagation. - Dominik Hose; Michael Hanss (EUSFLAT Conf., 2019)

Fuzzy linear least squares for the identification of possibilistic regression models. - Dominik Hose; Michael Hanss (Fuzzy Sets Syst., 2019)

On data-based estimation of possibility distributions. - Dominik Hose; Michael Hanss (Fuzzy Sets Syst., 2020)

Dependent Possibilistic Arithmetic using Copulas. - Ander Gray; Dominik Hose; Marco de Angelis 002; Michael Hanss; Scott Ferson (ISIPTA, 2021)

A Recursive Formulation of Possibilistic Filters. - Dominik Hose; Michael Hanss (ISIPTA, 2021)

A universal approach to imprecise probabilities in possibility theory. - Dominik Hose; Michael Hanss (Int. J. Approx. Reason., 2021)

A Practical Strategy for Valid Partial Prior-Dependent Possibilistic Inference. - Dominik Hose; Michael Hanss; Ryan Martin (BELIEF, 2022)