3 papers
stat.ME2026
Recovering Latent Structure in Massive Datasets: A PCA Study of 10 Billion and 1 Trillion Observations
Mike Crowhurst
This study investigated the behavior of Principal Component Analysis (PCA) when applied to datasets with extremely large numbers of observations. Although statistical theory sugges…
stat.CO2026
Building a GPU-Accelerated Multivariate Statistics Platform
Mike Crowhurst
Classical multivariate statistical methods such as covariance estimation and principal component analysis are well understood mathematically, yet their application at extreme data…
stat.ME2026
Finite Population Sampling as n to N: Empirical Evidence for the Transition from Inference to Accuracy
Mike Crowhurst
The Central Limit Theorem provides a foundation for inferential statistics and hypothesis testing. It describes how standardized statistics behave under repeated sampling from larg…