GitHub

multinomial-logistic-regression

This project explores the determinants of inflation prediction errors using data from the Survey of Consumer Expectations (SCE) from 2013 to 2023 and monthly National and yearly State-level PCE. The ...
IEEE

Sub-1 GHz Indoor RSSI-Based Localization: An Experimental Evaluation of Trilateration, Multilateration, and Machine Learning Fingerprinting Methods

Abstract: As wireless radiofrequency-based localization techniques continue to attract interest, a plethora of approaches including received signal strength indicator (RSSI) trilateration and ...
GitHub

symbolic-regression

[ICLR 2025 Oral] This is the official repo for the paper "LLM-SR" on Scientific Equation Discovery and Symbolic Regression with Large Language Models A GPU-accelerated library for Tree-based Genetic ...
IEEE

Improving Parkinson's Disease Prediction Accuracy: A Comparative Analysis of Logistic Regression and Decision Tree Models

Abstract: This study aims to determine the effectiveness of predicting Parkinson's Disease and to evaluate the accuracy of different predictive models. Specifically, it compares the performance of ...
Frontiers

Sliding down the socioeconomic health gradient of COVID-19 in New York City: multinomial regression analyses of disproportionate financial hardship for Black, Latino, and Asian ...

Background: Distinct socioeconomic gradients in COVID-19 outcomes were observed across the United States, so an evaluation of individual resident characteristics related to economic deprivation (race ...
The American Spectator

Gen Z’s Nostalgia Isn’t Regression — It’s Resistance

There’s a haunting quality to missing something you never experienced. The New York Times recently explored a strange but increasingly familiar phenomenon: Gen Z’s deep yearning for a time before the ...