1 citations · 1 across the 7 of their papers we have counts for
8 papers
Inferring Cooperativity From Pooled Measurements
Robin Requadt, Housen Li
In many modern experiments, latent interactions drive multicomponent stochastic systems, yet the data are available only as pooled measurements that obscure these dependencies. Whe…
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…
Central limit theorems for the eigenvalues of graph Laplacians on data clouds
Chenghui Li, Nicolás García Trillos, Housen Li +1
Given i.i.d.\ samples from a distribution supported on a low dimensional manifold embedded in Eucliden space, we consider the graph Laplacian ope…
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…
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-…
Distributional limits of graph cuts on discretized grids
Leo Suchan, Housen Li, Axel Munk
Graph cuts are among the most prominent tools for clustering and classification analysis. While intensively studied from geometric and algorithmic perspectives, graph cut-based sta…
Robust inference of cooperative behaviour of multiple ion channels in voltage-clamp recordings
Robin Requadt, Manuel Fink, Patrick Kubica +3
Recent experimental studies have shed light on the intriguing possibility that ion channels exhibit cooperative behaviour. However, a comprehensive understanding of such cooperativ…
Multiscale Quantile Regression with Local Error Control
Zhi Liu, Housen Li
For robust and efficient detection of change points, we introduce a novel methodology MUSCLE (Multiscale qUantile Segmentation Controlling Local Error) that partitions serial data…