Resampling

August 31, 2024 3 min read Definitions

Bootstrap Methods: Resampling Techniques in Statistics

Statistics Mathematics Bootstrap Resampling Statistics Confidence Interval Non-Parametric Methods

Bootstrap methods are resampling techniques that provide measures of accuracy like confidence intervals and standard errors without relying on parametric assumptions. These techniques are essential in statistical inference when the underlying distribution is unknown or complex.

August 31, 2024 4 min read Definitions

Cross-Validation: A Resampling Procedure for Model Evaluation

Statistics Machine Learning Model Evaluation Resampling Statistics Machine Learning Validation

Cross-Validation is a critical resampling procedure utilized in evaluating machine learning models to ensure accuracy, reliability, and performance.

August 31, 2024 5 min read Definitions

Resampling: Drawing Repeated Samples from the Observed Data

Statistics Data Science Resampling Bootstrapping Monte Carlo Methods Data Analysis Statistical Methods

Resampling involves drawing repeated samples from the observed data, an essential technique in statistics used for estimating the precision of sample statistics by random sampling.