How-To Geek on MSN

How to run R-style linear regressions in Python the easy way

If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can ...
War on the RocksOpinion

A Guide to Collaborating With AI in the Military Classroom

If educators do not learn to embrace AI, they risk being left behind. Yet the question before professional military education ...
IEEE

Improved Methods for Distribution Identification and Regression Parameter Estimation in a Satellite Reliability Application

Abstract: This article expands the methods for analyzing satellite reliability by presenting a framework of measures to determine the best statistical distribution to use in data parameterization, and ...
IEEE

Multi-Kernel Correntropy Regression: Robustness, Optimality, and Application on Magnetometer Calibration

Abstract: This paper investigates the robustness and optimality of the multi-kernel correntropy (MKC) on linear regression. We first derive an upper error bound for a ...
GitHub

9.2 Regression: Failed to apply environment variable 'ConnectionStrings__RESOURCE'

After upgrading an app to 9.2 (Version: 9.2.0-preview.1.25205.2 specifically) one resource failed to start up with the error Failed to apply environment variable ...
Scientific Research Publishing

Kim, M. and Lee, S. (2016) Nonlinear Expectile Regression with Application to Value-at-Risk and Expected Shortfall Estimation. Computational Statistics & Data Analysis, 94, 1-19.

ABSTRACT: As extremely important methods, Lp regression methods have attracted the attention of either theoretical or empirical researchers all over the world. As special cases of that, quantile and ...
GitHub

INT360 - Apply Machine Learning and Regression Models to Classify Data Records

This repository contains the material for the SAP TechEd 2021 session called INT360 - Apply Machine Learning and Regression Models to Classify Data Records. Find out how the Data Attribute ...