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math.ST2025
Weak convergence of Bayes estimators under general loss functions
Robin Requadt, Housen Li, Axel Munk
We investigate the asymptotic behavior of parametric Bayes estimators under a broad class of loss functions that extend beyond the classical translation-invariant setting. To this…
math.ST2025
Adaptive monotonicity testing in sublinear time
Housen Li, Zhi Liu, Axel Munk
Modern large-scale data analysis increasingly faces the challenge of achieving computational efficiency as well as statistical accuracy, as classical statistically efficient method…
math.ST2025★ 1 cited
Online jump and kink detection in segmented linear regression: Statistical optimality meets computational efficiency
Annika Hüselitz, Housen Li, Axel Munk
We consider the problem of sequential (online) estimation of a single change point in a piecewise linear regression model under a Gaussian setup. We demonstrate that certain CUSUM-…