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Papers matching “sample statistics” 55

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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
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
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
A Quality Measure for Repeating Multiple-Unit Spike Patterns
2026 bioRxiv (Cold Spring Harbor Laboratory) preprint Neuroscience Neural dynamics and brain function Open access

Günther Palm, Monica Paoletti, Junji Ito, Alessandra Stella, Sonja Grün

0

citations
Petrophysical and mechanical rock property database of the Los Humeros and Acoculco geothermal fields (Mexico)
2020 preprint Engineering Hydrocarbon exploration and reservoir analysis Open access

Leandra Weydt, Ángel Andrés Ramírez-Guzmán, Antonio Pola, Baptiste Lepillier, Juliane Kummerow, Giuseppe Mandrone, +8 more

8

citations
SECRET: Stochasticity Emulator for Cosmic Ray Electrons
2025 arXiv (Cornell University) preprint Physics and Astronomy Dark Matter and Cosmic Phenomena Open access

Nikolas Frediani, Michael Krämer, Philipp Mertsch, Kathrin Nippel

0

citations
A Better Comparison under right-censoring: ABC Statistic for Equivalence Testing and Quantification
2026 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Simon Mack, Kathrin Möllenhoff, Dennis Dobler

0

citations
Influence of adversarial training on super-resolution turbulence reconstruction
2023 arXiv (Cornell University) preprint Engineering Fluid Dynamics and Turbulent Flows Open access

Ludovico Nista, Christoph Schumann, Mathis Bode, Temistocle Grenga, Jonathan F. MacArt, Antonio Attili, +1 more

0

citations
A roadmap to using randomization in clinical trials
2021 Research Square preprint Mathematics Statistical Methods in Clinical Trials Open access

Vance W. Berger, Louis Bour, Kerstine Carter, Jonathan Chipman, Colin Charles Everett, Nicole Maria Heussen, +7 more

1

citations
Self-Normalization for CUSUM-based Change Detection in Locally Stationary Time Series
2025 arXiv (Cornell University) preprint Decision Sciences Advanced Statistical Process Monitoring Open access

Florian Heinrichs

0

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
Exp2Ipynb: A general machine-learning workflow for the analysis of promoter libraries
2020 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Bacterial Genetics and Biotechnology Open access

Ulf W. Liebal, Sebastian Köbbing, Lars M. Blank

0

citations
Quasi-randomization-based inference for multivariate Mann-Whitney effects under random missingness
2026 arXiv (Cornell University) preprint Mathematics Statistical Methods and Bayesian Inference Open access

Dennis Dobler, Jörg‐Tobias Kuhn, Lubna Amro, Paavo Sattler

0

citations
Provably Robust Temporal Difference Learning for Heavy-Tailed Rewards
2023 arXiv (Cornell University) preprint Computer Science Age of Information Optimization Open access

Semih Çaycı, Atilla Eryılmaz

2

citations
More is Less: Inducing Sparsity via Overparameterization
2021 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Hung-Hsu Chou, Johannes Maly, Holger Rauhut

1

citations
Beyond Demographic Parity: Redefining Equal Treatment
2023 arXiv (Cornell University) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access

Carlos Mougan, Laura State, Salvatore Ruggieri, Steffen Staab

3

citations
HER: an information theoretic alternative for geostatistics
2020 preprint Environmental Science Soil Geostatistics and Mapping Open access

Stephanie Thiesen, Diego M. Vieira, Mirko Mälicke, Florian Wellmann, Uwe Ehret

1

citations
Preference-Based Reward Learning under Partial Observability with Inexact Dynamics
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Reza Zolnouri, Semih Çaycı

0

citations
Recurrent Natural Policy Gradient for POMDPs
2024 arXiv (Cornell University) preprint Computer Science Optimization and Search Problems Open access

Semih Çaycı, Atilla Eryılmaz

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
Random Abstract Cell Complexes
2024 arXiv (Cornell University) preprint Biochemistry, Genetics and Molecular Biology Cell Image Analysis Techniques Open access

Josef Hoppe, Michael T. Schaub

0

citations
Detection of PatIent-Level distances from single cell genomics and pathomics data with Optimal Transport (PILOT)
2022 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access

Mehdi Joodaki, Mina Shaigan, Roman David Bülow, Christoph Kuppe, David Laurin Hölscher, Mingbo Cheng, +9 more

8

citations
Constraining stochastic 3-D structural geological models with topology information using Approximate Bayesian Computation using GemPy 2.1
2020 preprint Computer Science Topological and Geometric Data Analysis Open access

Alexander Schaaf, Miguel de la Varga, Florian Wellmann, Clare Elizabeth Bond

6

citations
Efficient Prospective Electric Field-Informed Localization of Motor Cortical Targets of Transcranial Magnetic Stimulation
2025 bioRxiv (Cold Spring Harbor Laboratory) preprint Neuroscience Transcranial Magnetic Stimulation Studies Open access

Zsolt Turi, Srilekha Marmavula, Peter Christoph Reinacher, Theo Demerath, Jakob Straehle, Joschka Boedecker, +2 more

1

citations
Adaptive stratified sampling for non-smooth problems
2021 arXiv (Cornell University) preprint Decision Sciences Probabilistic and Robust Engineering Design Open access

Per Pettersson, Sebastian Krumscheid

1

citations