Analyzing cross-talk between superimposed signals: Vector norm dependent hidden Markov models and applications to ion channels-Reference-Cited by-同舟云学术

Analyzing cross-talk between superimposed signals: Vector norm dependent hidden Markov models and applications to ion channels

Published:2024-06-01 Issue:2 Volume:18 Page:
ISSN:1932-6157
Container-title:The Annals of Applied Statistics
language:
Short-container-title:Ann. Appl. Stat.

Author:

Jula Vanegas Laura¹,Eltzner Benjamin²,Rudolf Daniel³,Dura Miroslav⁴,Lehnart Stephan E.⁵,Munk Axel¹

Affiliation:

1. Institute for Mathematical Stochastics, Georg-August-Universität Göttingen

2. Department for Theoretical and Computational Biophysics, Max Planck Institute for Multidisciplinary Sciences

3. Faculty of Computer Science and Mathematics, Universität Passau

4. Cellular Biophysics and Translational Cardiology Section, Heart Research Center Göttingen, Department of Cardiology & Pneumology, University Medical Center Göttingen

5. DZHK (German Centre for Cardiovascular Research)

Publisher

Institute of Mathematical Statistics

Reference66 articles.

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3. Staudt, T., Aspelmeier, T., Laitenberger, O., Geisler, C., Egner, A. and Munk, A. (2020). Statistical molecule counting in super-resolution fluorescence microscopy: Towards quantitative nanoscopy. Statist. Sci. 35 92–111.

4. BAUM, L. E., PETRIE, T., SOULES, G. and WEISS, N. (1970). A maximization technique occurring in the statistical analysis of probabilistic functions of Markov chains. Ann. Math. Stat. 41 164–171.

5. Cappé, O., Moulines, E. and Rydén, T. (2005). Inference in Hidden Markov Models. Springer Series in Statistics. Springer, New York.