effective-sample-size

Markov chain Monte Carlo Standard Errors

When more sampling stops helping: a reasoning model can generate a right answer long before it can pick one. The modal and correlation ceilings of test-time scaling, with paper, figures, and code (Bay & Yearick).

Effective sample size for thresholds under clustering. Verification code and the neff estimator for arXiv:2608.21262 (concept DOI 10.5281/zenodo.21595640). Tag v7-zenodo mirrors the published code archive byte-for-byte.

Code for reproducing the results in arXiv:2109.01726

Teaching code for the paper After Chat: one question to several AI agent CLIs, who said what, how much agreement is worth, crossing records, safe agent settings. Standard library, no API keys.

Experimental framework for studying covariate shift, chi-squared divergence, importance weighting, effective sample size, and model generalisation.

Label-shift vs concept-drift experiments and a lightweight logit-offset adapter for prevalence shift in binary classification.

Effective sample size computation for Bayesian Estimation of Network Autocorrelation Model