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Home  |  Members  |  Sikorski, Alexander

Sikorski, Alexander

Position: 
Guest
Room: 
4033
Division: 
Mathematics of Complex Systems
Department: 
Modeling and Simulation of Complex Processes
Research group: 
Computational Molecular Design
Mail: 
sikorskizib.de
Phone: 
+49 30 84185 - 199
Fax: 
+49 30 84185 - 125

Projects

Member

Uncertainty Quantification for Bayesian Inverse Problems with Applications to Systems Biology
Probing Scales in Equilibrated Systems by Optimal Nonequilibrium Forcing
Empirical Bayes methods in systems medicine

Publications

2022 2021 2018 2017 2016 2015

2022

Martin Heida, Alexander Sikorski, Marcus Weber Consistency and order 1 convergence of cell-centered finite volume discretizations of degenerate elliptic problems in any space dimension SIAM Journal on Numerical Analysis, 2022 (under review) BibTeX
DOI
Alexander Sikorski, Enric Ribera Borrell, Marcus Weber Learning Koopman eigenfunctions of stochastic diffusions with optimal importance sampling and ISOKANN Journal of Mathematical Physics, 2022 (under review) BibTeX
arXiv
Anna-Simone Frank, Alexander Sikorski, Susanna Röblitz Spectral clustering of Markov chain transition matrices with complex eigenvalues Journal of Computational and Applied Mathematics, 2022 (under review) BibTeX
arXiv

2021

Renata Sechi, Alexander Sikorski, Marcus Weber Estimation of the Koopman Generator by Newton's Extrapolation Multiscale Modeling and Simulation, 19(2), pp. 758-774, 2021 BibTeX
DOI
Ilja Klebanov, Alexander Sikorski, Christof Schütte, Susanna Röblitz Objective priors in the empirical Bayes framework Scandinavian Journal of Statistics, 48(4), pp. 1212-1233, 2021 BibTeX
DOI
Alexander Sikorski, Marcus Weber, Christof Schütte The Augmented Jump Chain Advanced Theory and Simulations, 4(4), 2021 BibTeX
arXiv
DOI

2018

Konstantin Fackeldey, Alexander Sikorski, Marcus Weber Spectral Clustering for Non-Reversible Markov Chains Computational and Applied Mathematics, 37(5), pp. 6376-6391, 2018 (preprint available as ZIB-Report 18-48) PDF (ZIB-Report)
BibTeX
DOI

2017

Alexander Sikorski An Information-Theoretic Empirical Bayes Method and its Application to a Systems Biology Model Master's thesis, Freie Universität Berlin, Susanna Röblitz (Advisor), 2017 PDF
BibTeX
URN

2016

Ilja Klebanov, Alexander Sikorski, Christof Schütte, Susanna Röblitz Empirical Bayes Methods for Prior Estimation in Systems Medicine ZIB-Report 16-57 PDF
BibTeX
URN
arXiv
Ilja Klebanov, Alexander Sikorski, Christof Schütte, Susanna Röblitz Empirical Bayes Methods, Reference Priors, Cross Entropy and the EM Algorithm ZIB-Report 16-56 PDF
BibTeX
URN
Ilja Klebanov, Alexander Sikorski, Christof Schütte, Susanna Röblitz Prior estimation and Bayesian inference from large cohort data sets ZIB-Report 16-09 PDF
PDF
BibTeX
URN

2015

Alexander Sikorski PCCA+ and Its Application to Spatial Time Series Clustering Bachelor's thesis, Freie Universität Berlin, Marcus Weber (Advisor), 2015 PDF
BibTeX
URN
  • Research
    • Solutions for Individualized Medicine
    • Molecular and Biological Processes
    • Materials and Optical Processes
    • Combinatorics and MINLP
    • MSO for Multiscale Systems
    • Robust Solutions under Uncertainty
    • Digital Humanities
    • Efficient Infrastructure and Logistics
    • Large-Scale Data Management, Curation & Analysis
    • Highly Parallel Computing
    • Scalable and Fault-Tolerant Algorithms
    • Publications
    • Books
    • Features
  • Institute
    • Research Campus MODAL
    • Intel oneAPI CoE
    • Joint Lab Optics
    • Oracle Center of Excellence
    • Organization
    • Organizational Chart
    • Committees and Regulations
    • Spin-Offs
    • Konrad Zuse
    • Hall of Fame
  • Research Services
    • NHR Center at ZIB
    • Supercomputing
    • Data Archive
    • KOBV
    • BRAIN
    • Software
    • Room Reservation
    • Library
  • Members
  • Training & Outreach
    • Graduate Students
    • Scholarships
    • Lectures
    • Trainee Openings
    • Schools
    • Press
    • Public Events
    • Guided Tours
    • Alumni
    • Topics for theses
  • Contact