activity
20062026
most citedSeeded Binary Segmentation: A general methodology for fast and optimal change point detection

77 citations · 561 across the 68 of their papers we have counts for

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Showing 2017Show all

5 papers · 1 filter

math.ST2017★ 4 cited

Minimax estimation in linear models with unknown design over finite alphabets

Merle Behr, Axel Munk

We provide a minimax optimal estimation procedure for F and W in matrix valued linear models Y = F W + Z where the parameter matrix W and the design matrix F are unknown but the la…

math.ST2017★ 20 cited

Multiscale Change-point Segmentation: Beyond Step Functions

Housen Li, Qinghai Guo, Axel Munk

Modern multiscale type segmentation methods are known to detect multiple change-points with high statistical accuracy, while allowing for fast computation. Underpinning theory has…

math.PR2017

Empirical optimal transport on countable metric spaces: Distributional limits and statistical applications

Carla Tameling, Max Sommerfeld, Axel Munk

We derive distributional limits for empirical transport distances between probability measures supported on countable sets. Our approach is based on sensitivity analysis of optimal…

math.ST2017★ 5 cited

Kernel partial least squares for stationary data

Marco Singer, Tatyana Krivobokova, Axel Munk

We consider the kernel partial least squares algorithm for non-parametric regression with stationary dependent data. Probabilistic convergence rates of the kernel partial least squ…

stat.AP2017

Fully-Automatic Multiresolution Idealization for Filtered Ion Channel Recordings: Flickering Event Detection

Florian Pein, Inder Tecuapetla-Gómez, Ole M. Schütte +2

We propose a new model-free segmentation method, JULES, which combines recent statistical multiresolution techniques with local deconvolution for idealization of ion channel record…