Showing 1–20 of 27 results
/ Date/ Name
Apr 18, 2013Aggregated motion estimation for real-time MRI reconstructionMar 22, 2017Empirical Risk Minimization as Parameter Choice Rule for General Linear Regularization MethodsSep 3, 2017The Averaged Kaczmarz Iteration for Solving Inverse ProblemsJul 5, 2018Frame-constrained Total Variation Regularization for White Noise RegressionJun 23, 2020Seeded intervals and noise level estimation in change point detection: A discussion of Fryzlewicz (2020)Oct 20, 2020Variational Multiscale Nonparametric Regression: Algorithms and ImplementationFeb 16, 2020Seeded Binary Segmentation: A general methodology for fast and optimal change point detectionOct 20, 2020Optimistic search: Change point estimation for large-scale data via adaptive logarithmic queriesAug 13, 2017Multiscale Change-point Segmentation: Beyond Step FunctionsAug 18, 2023A scalable clustering algorithm to approximate graph cutsDec 18, 2014FDR-Control in Multiscale Change-point SegmentationMar 4, 2025Adaptive monotonicity testing in sublinear timeDec 3, 2015Variational Multiscale Nonparametric Regression: Smooth FunctionsMay 29, 2023Quick Adaptive Ternary Segmentation: An Efficient Decoding Procedure For Hidden Markov ModelsMar 7, 2025Online jump and kink detection in segmented linear regression: Statistical optimality meets computational efficiencyMar 17, 2024Multiscale Quantile Regression with Local Error ControlJul 24, 2025Central limit theorems for the eigenvalues of graph Laplacians on data cloudsJul 3, 2025Covariance scanning for adaptively optimal change point detection in high-dimensional linear modelsOct 7, 2025Weak convergence of Bayes estimators under general loss functionsJun 10, 2021A Variational View on Statistical Multiscale Estimation