Statistical method broadens forecasts by modeling uncertainty beyond average outcomes

When it comes to statistics, we usually expect to be informed about what happens "on average." But sometimes the key ...

New method separates brain signals to show how complex actions are organized

A new Northwestern Medicine study has introduced a novel machine learning method for analyzing how the brain organizes ...
TMCnet

New Study Reveals Powerful New Method Can Distinguish Schizophrenia from Healthy Using Brain SPECT Imaging

A groundbreaking new study published in NeuroImage: Reports demonstrates that whole-brain Single Photon Emission Computed ...
BMJ Open

Association of maternal conflict with psychological symptoms and maternal role satisfaction in pregnant women: a cross-sectional study in Iran

Objectives This study aimed to examine the relationship between maternal conflict and psychological symptoms (depression and anxiety) as well as maternal role satisfaction among pregnant women. It ...
Pew Research Center

What happens when war breaks out in the middle of a survey?

Using statistical analysis of surveys fielded during the U.S.-Israel airstrikes on Iran, researchers tracked real-time shifts in global views of the U.S. and national economies.
How-To Geek on MSN

Your Excel regression is probably a mess—here's how Python fixes it

Uncover the hidden pitfalls of Excel regression and learn why Python is the key to unlocking clean, efficient data analysis.
Investopedia

Multiple Linear Regression (MLR): Definition, Uses, & Examples

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
PNAS

SR-LLM: An incremental symbolic regression framework driven by LLM-based retrieval-augmented generation

Scientists have long sought to derive models from extensive observational input–output data, ensuring these models accurately capture the underlying mapping from inputs to outputs while remaining ...
PNAS

Computationally efficient whole-genome quantile regression at biobank scale

Genome-wide association studies (GWAS) for biomarkers and molecular phenotypes can lead to clinically relevant discoveries. Numerous lines of evidence from model organisms and human studies suggest ...
Scientific Research Publishing

Brown, T. and Smith, A. (2021) Overfitting in Regression Models: Causes and Solutions. Statistical Methods in Research, 34, 77-89.

ABSTRACT: The abstract provided offers a succinct overview of the research paper’s focus on the significance of statistics, specifically regression analysis, across diverse fields. The emphasis on ...
IEEE

Representation Transfer Learning via Multiple Pre-Trained Models for Linear Regression

Abstract: In this paper, we consider the problem of learning a linear regression model on a data domain of interest (target) given few samples. To aid learning, we are provided with a set of ...