Abstract: This article addresses the interval estimation problem for continuous systems with process disturbance and measurement noise under multirate discrete measurements. First, a dynamic observer ...
Introduction: In occupational epidemiology, accurately quantifying exposure-response relationships is crucial. Methods: We introduce a threshold Cox model that includes a change point term to identify ...
Abstract: This paper investigates interval estimation for continuous-time linear time-invariant systems with discrete measurements. To obtain a reliable interval estimation, a novel interval ...
UHPLC–QTOF-MS and machine learning were used to identify stable biomarkers for PMI estimation, achieving 3–6 hour accuracy. Identified metabolites include amino acids and nucleotides, with potential ...
1 Key Laboratory of Tropical Translational Medicine of Ministry of Education, Department of Pathology, College of Basic Medical Sciences, Hainan Medical University, Haikou, China 2 Key Laboratory of ...
Mathematics Department, Egerton University, Njoro Nakuru, Kenya. Bayesian techniques have been applied in many epidemiological settings, such as disease monitoring, outbreak simulation, and prevalence ...
The terms Agile and estimations don't align perfectly. Agile is all about responding to change rather than following a plan, while accurate estimations require a fixed plan that doesn't change. It's a ...
This study examined the role of the dorsal medial prefrontal cortex of mice in anticipating reward-value switch points in a two-armed bandit task. They demonstrate the dorsal medial prefrontal cortex ...
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