Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Implement Linear Regression in Python from Scratch ! In this video, we will implement linear regression in python from scratch. We will not use any build in models, but we will understand the code ...

Introduction: Global signal regression (GSR) is widely used in functional magnetic resonance imaging (fMRI) analysis, yet its effects on anesthetic-related brain activity are not well understood.

In this paper, a hardware design based on the field programmable gate array (FPGA) to implement a linear regression algorithm is presented. The arithmetic operations were optimized by applying a fixed ...

Conclusion In compositional data with fixed totals, a simple DAG-informed isotemporal modelling approach recovers the true relative causal effect as long as any non-linear relationships are ...

Many researchers use unit fixed effects regression models as their default methods for causal inference with longitudinal data. We show that the ability of these models to adjust for unobserved ...

Running a fixed effects regression for the first time seems to be oddly slow (presumably because of initializing cost for the numba stuff in the background?), while the same regression run with ...

Therefore, in order to give full play to the role of anaerobic exercise training and enhance human body functions, this paper studies the effects of anaerobic exercise training and anaerobic exercise ...

The lag effect of monetary policy changes will surprise the Fed as the fiscal “pig” of stimulus begins to exit the economic “python.” ...