Articles, newest first
A Primer on Simple Linear Regression
Understand how simple linear regression models the relationship between two variables using a single predictor.
Read article
Probability Theory Basics for Data Science
An introduction to probability theory concepts every data scientist should know.
Read article
Machine Learning vs. Univariate Time Series Models in Predicting Emergency Department Visit Volumes
A comparison between machine learning models and univariate time series models for predicting emergency department visit volumes, focusing on predictive accu...
Read article
A Predictive Approach for Demand Forecasting in the Supply Chain Using Customer Behavior Modeling
Leveraging customer behavior through predictive modeling, the BG/NBD model offers a more accurate approach to demand forecasting in the supply chain compared...
Read article
Log-Rank Test in Survival Analysis: Comparing Survival Curves
The log-rank test is a key tool in survival analysis, commonly used to compare survival curves between groups in medical research. Learn how it works and how...
Read article
A Generalized Approach to Threshold Classification for Zero-Inflated Time Series Data Using Stationary Distributions
This article explores the use of stationary distributions in time series models to define thresholds in zero-inflated data, improving classification accuracy.
Read article
Understanding Markov Chain Monte Carlo (MCMC)
This article delves into the fundamentals of Markov Chain Monte Carlo (MCMC), its applications, and its significance in solving complex, high-dimensional pro...
Read article
Measurement Error: Bias, Precision, and Uncertainty
Measurement error is not just noise around a true value. Its consequences depend on whether error is random or systematic, which variable is measured with er...
Read article
Solving DSGE Models Numerically: Perturbation and Global Methods
DSGE models are solved by approximating policy functions or value functions, not by applying finite differences to arbitrary equations. This article separate...
Read article
Mann-Whitney U Test vs. Independent T-Test: Non-Parametric Alternatives
The Mann-Whitney U test and independent t-test are used for comparing two independent groups, but the choice between them depends on data distribution. Learn...
Read article