Anytime-Valid Sequential t-Tests and Confidence Sequences for Gaussian Means with Unknown Variance

This paper develops new e-processes and confidence sequences for sequential t-tests on the mean of a Gaussian distribution with unknown variance. The methods provide anytime-valid, nonasymptotic error control and optimal asymptotic performance.