2 citations · 2 across the 4 of their papers we have counts for
5 papers
Detection of collective and point anomalies in the presence of trend and seasonality
Yiyin Zhang, Florian Pein, Idris A. Eckley
Detecting anomalies in time series data is a challenging task with broad relevance in many applications. Existing methods work effectively only under idealized conditions, typicall…
Change-point regression with a smooth additive disturbance
Florian Pein, Rajen D. Shah
We assume a nonparametric regression model where the signal is given by the sum of a piecewise constant function and a smooth function. To detect the change-points and estimate the…
Cross-validation for change-point regression: pitfalls and solutions
Florian Pein, Rajen D. Shah
Cross-validation is the standard approach for tuning parameter selection in many non-parametric regression problems. However its use is less common in change-point regression, perh…
Heterogeneous Idealization of Ion Channel Recordings -- Open Channel Noise
Florian Pein, Annika Bartsch, Claudia Steinem +1
We propose a new model-free segmentation method for idealizing ion channel recordings. This method is designed to deal with heterogeneity of measurement errors. This in particular…
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…