Uncertainty in risk analysis: towards a general second-order approach combining interval, probabilistic, and fuzzy techniques. - Scott Ferson; Lev Ginzburg; Vladik Kreinovich; Hung T. Nguyen 002; Scott A. Starks (FUZZ-IEEE, 2002)

Computing variance for interval data is NP-hard. - Scott Ferson; Lev Ginzburg; Vladik Kreinovich; Luc Longpré; Monica Aviles (SIGACT News, 2002)

Exact Upper Bound on the Mean of the Product of Many Random Variables with Known Expectations. - Vladik Kreinovich; Scott Ferson; Lev Ginzburg (Reliab. Comput., 2003)

On the Use of Intervals in Scientific Computing: What Is the Best Transition from Linear to Quadratic Approximation?. - Martine Ceberio; Vladik Kreinovich; Lev Ginzburg (PARA, 2004)

A Feasible Algorithm for Locating Concave and Convex Zones of Interval Data and Its Use in Statistics-Based Clustering. - Vladik Kreinovich; Eric J. Pauwels; Scott Ferson; Lev Ginzburg (Numer. Algorithms, 2004)

Exact Bounds on Finite Populations of Interval Data. - Scott Ferson; Lev Ginzburg; Vladik Kreinovich; Luc Longpré; Monica Aviles (Reliab. Comput., 2005)

Outlier Detection under Interval Uncertainty: Algorithmic Solvability and Computational Complexity. - Vladik Kreinovich; Luc Longpré; Praveen Patangay; Scott Ferson; Lev Ginzburg (Reliab. Comput., 2005)

Data anonymization that leads to the most accurate estimates of statistical characteristics: Fuzzy-motivated approach. - G. Xiang; Scott Ferson; Lev Ginzburg; Luc Longpré; E. Mayorga; Olga Kosheleva (IFSA/NAFIPS, 2013)

Faster Algorithms for Estimating the Mean of a Quadratic Expression Under Uncertainty. - Martine Ceberio; Vladik Kreinovich; Olga Kosheleva; Lev Ginzburg (NAFIPS, 2023)