45 citations · 59 across the 2 of their papers we have counts for
5 papers
The Essential Histogram
Housen Li, Axel Munk, Hannes Sieling +1
The histogram is widely used as a simple, exploratory display of data, but it is usually not clear how to choose the number and size of bins. We construct a confidence set of distr…
Heterogeneous Change Point Inference
Florian Pein, Hannes Sieling, Axel Munk
We propose HSMUCE (heterogeneous simultaneous multiscale change-point estimator) for the detection of multiple change-points of the signal in a heterogeneous gaussian regression mo…
FDR-Control in Multiscale Change-point Segmentation
Housen Li, Axel Munk, Hannes Sieling
Fast multiple change-point segmentation methods, which additionally provide faithful statistical statements on the number, locations and sizes of the segments, have recently receiv…
Persistence Barcodes versus Kolmogorov Signatures: Detecting Modes of One-Dimensional Signals
Ulrich Bauer, Axel Munk, Hannes Sieling +1
We investigate the problem of estimating the number of modes (i.e., local maxima) - a well known question in statistical inference - and we show how to do so without presmoothing t…
Multiscale Change-Point Inference
Klaus Frick, Axel Munk, Hannes Sieling
We introduce a new estimator SMUCE (simultaneous multiscale change-point estimator) for the change-point problem in exponential family regression. An unknown step function is estim…