Ivo D. Dinov

Statistical commutators with applications to estimation, inference, and regularization tuning

Abstract We develop a classical operator framework, the statistical commutator , to study estimation and regularization through the non-commutativity of statistical operators. For a dominated parametric model, the score-transport operator $$\Lambda _\theta g:= \partial _\theta g...

Mouse bio-behavioral phenotyping using a digital homecage framework for long-timescale, high-resolution, and multi-factor data collection and analytics

Long-term monitoring of behavioral and physiological processes is essential for elucidating complex brain-based phenomena and disorders that develop over extended periods, such as chronic stress, circadian disruption, and metabolic syndromes. Though digital phenotyping is well-es...