Leonid V. Kalachev

Affiliations: 
University of Montana, Missoula, MT 
Area:
Mathematics, Forestry and Wildlife Agriculture, Biostatistics Biology
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"Leonid Kalachev"
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Publications

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McCauley ME, McCauley P, Riedy SM, et al. (2021) Fatigue risk management based on self-reported fatigue: Expanding a biomathematical model of fatigue-related performance deficits to also predict subjective sleepiness. Transportation Research. Part F, Traffic Psychology and Behaviour. 79: 94-106
Springer S, Haario H, Shemyakin V, et al. (2019) Robust parameter estimation of chaotic systems Inverse Problems and Imaging. 13: 1189-1212
Kogan C, Kalachev L, Van Dongen HP. (2016) Prediction Accuracy in Multivariate Repeated-Measures Bayesian Forecasting Models with Examples Drawn from Research on Sleep and Circadian Rhythms. Computational and Mathematical Methods in Medicine. 2016: 4724395
Haario H, Kalachev L, Hakkarainen J. (2015) Generalized correlation integral vectors: A distance concept for chaotic dynamical systems Chaos. 25: 63102
McCauley P, Kalachev LV, Mollicone DJ, et al. (2013) Dynamic circadian modulation in a biomathematical model for the effects of sleep and sleep loss on waking neurobehavioral performance. Sleep. 36: 1987-97
Vasil'Eva AB, Kalachev LV. (2013) Singularly perturbed periodic parabolic equations with alternating boundary layer type solutions in spatially two-dimensional domains Analysis and Applications. 11
Haario H, Kalachev L, Laine M. (2012) Reduction and identification of dynamic models. Simple example: Generic receptor model Discrete and Continuous Dynamical Systems-Series B. 18: 417-435
Haario H, Kalachev L, Laine M. (2009) Reduced models of algae growth. Bulletin of Mathematical Biology. 71: 1626-1648
McCauley P, Kalachev LV, Smith AD, et al. (2009) A new mathematical model for the homeostatic effects of sleep loss on neurobehavioral performance. Journal of Theoretical Biology. 256: 227-39
Kraemer MA, Kalachev LV, Coble DW. (2008) A Class Of Models Describing Age Structure Dynamics In A Natural Forest Natural Resource Modeling. 15: 149-200
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