Jan Peter Hessling

Kapernicus AB, Sweden

Jan Peter Hessling earned a Ph.D. in Theoretical Physics from Chalmers University of Technology, Gothenburg, Sweden, in 1996, and an MSc in Physics from the University of Massachusetts, USA, in 1991. Since then, he has been devoted to novel mathematical and statistical concepts, recently focusing on modeling uncertainty and digital filtering. Dr. Hessling is the original proposer of Deterministic Sampling for uncertainty quantification and Dynamic Metrology for the analysis of dynamic measurements utilizing custom digital filtering. He has authored four book chapters for InTechOpen and about twenty journal articles. Since 2016, these concepts are further developed in the privately held company Kapernicus AB, which is dedicated to applied mathematical R&D, offering statistical model sampling (SavvySampler®) and digital filtering of road surfaces (RoadNotes®) worldwide.

2books edited

4chapters authored

Latest work with IntechOpen by Jan Peter Hessling

Statistical practices have recently been questioned by numerous independent authors, to the extent that a significant fraction of accepted research findings can be questioned. This suggests that statistical methodologies may have gone too far into an engineering practice, with minimal concern for their foundation, interpretation, assumptions, and limitations, which may be jeopardized in the current context. Disguised by overwhelming data sets, advanced processing, and stunning presentations, the basic approach is often intractable to anyone but the analyst. The hierarchical nature of statistical inference, exemplified by Bayesian aggregation of prior and derived knowledge, may also be challenging. Conceptual simplified studies of the kind presented in this book could therefore provide valuable guidance when developing statistical methodologies, but also applying state of the art with greater confidence.

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