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Papers matching “covariance matrix” 44

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Testing and estimating change-points in the covariance matrix of a high-dimensional time series
2020 Journal of Multivariate Analysis article Mathematics Statistical Methods and Inference Open access

Ansgar Steland

22

citations
New challenges in covariance estimation: multiple structures and coarse quantization
2021 arXiv (Cornell University) preprint Computer Science Blind Source Separation Techniques Open access

Johannes Maly, Tianyu Yang, Sjoerd Dirksen, Holger Rauhut, Giuseppe Caire

0

citations
Covariance Estimation under One‐bit Quantization
2021 PAMM article Engineering Sparse and Compressive Sensing Techniques Open access

Sjoerd Dirksen, Johannes Maly, Holger Rauhut

4

citations
Covariance estimation under one-bit quantization
2021 arXiv (Cornell University) preprint Engineering Sparse and Compressive Sensing Techniques Open access

Sjoerd Dirksen, Johannes Maly, Holger Rauhut

0

citations
Projection inference for high-dimensional covariance matrices with structured shrinkage targets
2022 arXiv (Cornell University) preprint Mathematics Statistical and numerical algorithms Open access

Fabian Mies, Ansgar Steland

0

citations
Large‐sample approximations and change testing for high‐dimensional covariance matrices of multivariate linear time series and factor models
2020 Scandinavian Journal of Statistics article Mathematics Statistical Methods and Inference Open access

Monika Bours, Ansgar Steland

9

citations
Covariance estimation under one-bit quantization
2022 The Annals of Statistics article Engineering Sparse and Compressive Sensing Techniques Open access

Sjoerd Dirksen, Johannes Maly, Holger Rauhut

26

citations
Inference in pseudo-observation-based regression using (biased) covariance estimation and naive bootstrapping
2025 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Morten T. Overgaard, Dennis Dobler

0

citations
Efficient FPGA implementation for sound source separation using direction-informed multichannel non-negative matrix factorization
2024 The Journal of Supercomputing article Computer Science Speech and Audio Processing Open access

Antonio J. Muñoz-Montoro, Julio J. Carabias-Orti, José Ranilla

5

citations
New Challenges in Covariance Estimation: Multiple Structures and Coarse Quantization
2022 Applied and numerical harmonic analysis book-chapter Engineering Sparse and Compressive Sensing Techniques

Johannes Maly, Tianyu Yang, Sjoerd Dirksen, Holger Rauhut, Giuseppe Caire

6

citations
Covariance Correction for Permutation Statistics in Multiple Testing Problems
2026 arXiv (Cornell University) preprint Mathematics Statistical Methods in Clinical Trials Open access

Merle Munko, Paavo Sattler

0

citations
C 2 MI: A Covariance-Coupling Sparse Recovery Algorithm for Metasurface-Based Microwave Imaging
2025 Antenna Measurement Techniques Association Symposium (AMTA) conference-paper Engineering Microwave Imaging and Scattering Analysis

Firas Slewa Dawod, M. Arif, Renato Negra, Sayan Kumar Roy

0

citations
A Bayesian Perspective on Uncertainty Quantification for Estimated Graph Signals
2025 conference-paper Computer Science Bayesian Modeling and Causal Inference Open access

Lennard Rompelberg, Michael T. Schaub

2

citations
Robust and Secure Resource Allocation for ISAC Systems: A Novel Optimization Framework for Variable-Length Snapshots
2022 IEEE Transactions on Communications article Computer Science Cryptography and Data Security

Dongfang Xu, Xianghao Yu, Derrick Wing Kwan Ng, Anke Schmeink, Robert Schober

173

citations
Custom Orthogonal Weight functions (COWs) for event classification
2022 Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment article Decision Sciences Advanced Statistical Process Monitoring Open access

H.-P. Dembinski, Christoph Langenbruch, MICHAEL SCHMELLING

14

citations
Ambient-Aware Sound Field Translation Using Optimal Spatial Filtering
2021 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) conference-paper Computer Science Speech and Audio Processing

Maximilian Kentgens, Peter Jax

2

citations
Detecting changes in the second moment structure of high-dimensional sensor-type data in a K-sample setting
2020 Sequential Analysis article Economics, Econometrics and Finance Complex Systems and Time Series Analysis

Nils Mause, Ansgar Steland

1

citations
A BHEP test for multivariate normality on incomplete data
2026 arXiv (Cornell University) preprint Mathematics Statistical Methods and Bayesian Inference Open access

Daniel Gaigall, Philipp Wübbolding

0

citations
On Extreme Value Asymptotics of Projected Sample Covariances in High Dimensions with Applications in Finance and Convolutional Networks
2023 arXiv (Cornell University) preprint Economics, Econometrics and Finance Complex Systems and Time Series Analysis Open access

Ansgar Steland

0

citations
Detecting Changes in the Second Moment Structure of High-Dimensional Sensor-Type Data in a $K$-Sample Setting
2020 arXiv (Cornell University) preprint Economics, Econometrics and Finance Complex Systems and Time Series Analysis Open access

Nils Mause, Ansgar Steland

0

citations
Dark matter or correlated errors: Systematics of the AMS-02 antiproton excess
2020 RWTH Publications (RWTH Aachen) article Physics and Astronomy Dark Matter and Cosmic Phenomena Open access

Jan Heisig, Michael Korsmeier, Martin Wolfgang Winkler

79

citations
Dark matter or correlated errors: Systematics of the AMS-02 antiproton excess
2020 Physical Review Research article Physics and Astronomy Dark Matter and Cosmic Phenomena Open access

Jan Heisig

64

citations
Breaking the voltage plateau barrier: Slope-adaptive state-of-charge estimation for LFP batteries with temperature-aware hysteresis modeling
2025 eTransportation article Engineering Advanced Battery Technologies Research Open access

Lisen Yan, Jun Peng, Heng Li, Zhiwu Huang, Dirk Uwe Sauer, Weihan Li

13

citations
Systematic uncertainties in the AMS-02 antiproton excess
2020 Proceedings of European Physical Society Conference on High Energy Physics — PoS(EPS-HEP2019) conference-paper Physics and Astronomy Dark Matter and Cosmic Phenomena Open access

Jan Heisig, A. Cuoco, Lukas Klamt, Michael Korsmeier

0

citations
A Sequential Sensor Selection Strategy for Hyper-Parameterized Linear Bayesian Inverse Problems
2020 Lecture notes in computational science and engineering book-chapter Computer Science Gaussian Processes and Bayesian Inference Open access

Nicole Aretz-Nellesen, Peng Chen, Martin Grepl, Karen Veroy

5

citations