Testing several approaches for implied volatility modeling and forecasting. Design/methodology/approach – Comparative ...
This paper describes Unbend - a new method for measuring and correcting motions in cryo-EM images, with a particular emphasis on more challenging in situ samples such as lamella and whole cells. The ...
This course is compulsory on the MSc in Data Science. This course is available on the MPA in Data Science for Public Policy, MSc in Applied Social Data Science, MSc in Econometrics and Mathematical ...
Abstract: The spatial structure of subsurface media usually exhibits anisotropic characteristics due to geological factors such as depositional environment, tectonic movement, and overlying pressure, ...
Abstract: In sheet part design the product’s initial geometric model is often used between different professional teams. Heavy work relies on the quality of the geometric model, wherein the ...
Time Series Forecasting Engine is a comprehensive, production-ready Python framework for advanced time series forecasting. It combines statistical models (ARIMA), machine learning approaches (Prophet) ...
Purpose: This study aims to examine the relationship between the insulin resistance (IR) biomarker, specifically triglyceride-glucose body mass index (TyG-BMI), and all-cause as well as cardiovascular ...
aInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA bMilken Institute School of Public Health, George Washington University, Washington DC, USA ...
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