Econometrician Explained: Roles, Methods, and Economic Impact

Discover how econometricians use math and statistics to analyze and predict economic trends, serving in finance and academia ...

Understanding Fourier Analysis: Uncovering Patterns in Time Series Data

Discover how Fourier Analysis breaks down complex time series data into simpler components to identify trends and patterns, despite its limitations in stock forecasting.
Phys.org

Statistical method developed for single-molecule fluorescence analysis

An interdisciplinary team of University of Tennessee, Knoxville researchers recently published in Biophysical Journal on their development of a new statistical method that improves analysis in ...
The Business Journals

Prominent hotelier seeks new crime statistics method to improve St. Louis' national murder ranking

To continue reading this content, please enable JavaScript in your browser settings and refresh this page. Preview this article 1 min A hotel executive says he's ...
BMJ

Development and internal validation of prognostic models for event-free survival in newly diagnosed Ewing sarcoma patients based on routinely collected clinical characteristics ...

Introduction Ewing sarcoma is a rare paediatric cancer. Currently, there is no way of accurately predicting these patients’ survival at diagnosis. Disease type (ie, localised disease, ...
RealClearPolitics

What the Stats Really Say About Crime Surge

During last year’s presidential debate between Donald Trump and Kamala Harris, Trump said violent crime was rising. ABC moderator David Muir immediately fact-checked him, claiming, “President Trump, ...
GitHub

berm: Bootstrap-Enhanced Regularization Method

The berm package implements the Bootstrap-Enhanced Regularization Method (BERM), a statistical approach aiming to enhance the robustness and accuracy of variable selection and coefficient estimation ...
Frontiers

Learning Gaussian graphical models from correlated data

Gaussian Graphical Models (GGMs) are a type of network modeling that uses partial correlation rather than correlation for representing complex relationships among multiple variables. The advantage of ...
eLife

Pathway activation model for personalized prediction of drug synergy

This valuable study presents a deep learning framework for predicting synergistic drug combinations for cancer treatment in the AstraZeneca-Sanger (AZS) DREAM Challenge dataset. The level of evidence ...
Hosted on MSN

Machine Learning Model Comparison with Bootstrap Resampling | sklearn Implementation

Learn how to compare ML models using bootstrap resampling with a hands-on sklearn implementation. Trump promised lower grocery prices ‘on Day One.’ Here’s what happened Disturbance in the Atlantic has ...
Frontiers

Corrected goodness-of-fit index in latent variable modeling using non-parametric bootstrapping

1 ICCTR, Boston Children’s Hospital, Harvard Medical School, Boston, MA, United States 2 Department of Self-Development Skills, King Saud University, Riyadh, Saudi Arabia Latent variable modeling (LVM ...