activity
20182022
most citedNeural network model for imprecise regression with interval dependent variables

20 citations · 41 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2022★ 6 cited

Should data ever be thrown away? Pooling interval-censored data sets with different precision

Krasymyr Tretiak, Scott Ferson

Data quality is an important consideration in many engineering applications and projects. Data collection procedures do not always involve careful utilization of the most precise i…

physics.data-an2022★ 20 cited

Neural network model for imprecise regression with interval dependent variables

Krasymyr Tretiak, Georg Schollmeyer, Scott Ferson

This paper presents a computationally feasible method to compute rigorous bounds on the interval-generalisation of regression analysis to account for epistemic uncertainty in the o…

physics.comp-ph2021★ 4 cited

Efficiency gains of a multi-scale integration method applied to a scale-separated model for rapidly rotating dynamos

Krasymyr Tretiak, Meredith Plumley, Michael Calkins +1

Numerical geodynamo simulations with parameters close to an Earth-like regime would be of great interest for understanding the dynamics of the Earth's liquid outer core and the ass…

physics.comp-ph2020★ 5 cited

Performance of the BGSDC integrator for computing fast ion trajectories in nuclear fusion reactors

Krasymyr Tretiak, James Buchanan, Rob Akers +1

Modelling neutral beam injection (NBI) in fusion reactors requires computing the trajectories of large ensembles of particles. Slowing down times of up to one second combined with…

math.NA2018★ 6 cited

An arbitrary order time-stepping algorithm for tracking particles in inhomogeneous magnetic fields

Krasymyr Tretiak, Daniel Ruprecht

The Lorentz equations describe the motion of electrically charged particles in electric and magnetic fields and are used widely in plasma physics. The most popular numerical algori…