ABSTRACT: Variable selection using penalized estimation methods in quantile regression models is an important step in screening for relevant covariates. In this paper, we present a one-step estimation ...

Want to master data fitting in Python? 📊🐍 In this video, we’ll walk you through using the least squares method to fit data and graph it using Python. Perfect for data science and stats enthusiasts! ...

ABSTRACT: A hyperbolic model for the diffusion of proteins through the blood-cerebrospinal fluid (CSF) barrier revolutionized clinical neurochemistry thirty years ago. The regression curves were ...

NLSQ is an enhanced fork of JAXFit, originally developed by Lucas R. Hofer, Milan Krstajić, and Robert P. Smith. We gratefully acknowledge their foundational work on GPU-accelerated curve fitting with ...

This study presents an important computational framework, FLiSimBA (Fluorescence Lifetime Simulation for Biological Applications), for modeling experimental limitations in Fluorescence Lifetime ...

In this month's edition of the LCGC Blog, discover how weighted least squares regression enhances quantitation accuracy in analytical chemistry, particularly for low-concentration analytes in HPLC.

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Here to Stay, a northwest-side community land trust, plans to develop a lot on the 2600 block of West Cortland into a six-flat condo building. Credit: Shira Friedman-Parks The model is thought to have ...

The Toronto Blue Jays have tried to land a game-changing slugger twice in the past two winters. Unfortunately for the club, it wasn't able to sign Shohei Ohtani or Juan Soto. Now the Jays must decide ...