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Papers matching “nonparametric estimation” 24

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Nonparametric estimation of customer segments from censored sales panel data
2021 Journal of Revenue and Pricing Management article Business, Management and Accounting Consumer Market Behavior and Pricing

Johannes Ferdinand Jörg, Catherine Cleophas

3

citations
High-confidence nonparametric fixed-width uncertainty intervals and applications to projected high-dimensional data and common mean estimation
2021 Sequential Analysis article Mathematics Statistical Methods and Inference Open access

Ansgar Steland, Yuan-Tsung Chang

4

citations
Euclid preparation : LXXXI. The impact of nonparametric star formation histories on spatially resolved galaxy property estimation using synthetic Euclid images
2025 arXiv (Cornell University) preprint Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access

Euclid Collaboration, Angelos Nersesian, Abdurrouf, M. Baes, C. Tortora, I. Kovačić, +94 more

0

citations
Euclid preparation. LXXXI. The impact of nonparametric star formation histories on spatially resolved galaxy property estimation using synthetic Euclid images
2026 Astronomy and Astrophysics article Physics and Astronomy Astronomy and Astrophysical Research Open access

Euclid Collaboration, Angelos Nersesian, Abdurrouf, M. Baes, C. Tortora, I. Kovačić, +94 more

0

citations
Rough Hurst function estimation
2025 arXiv (Cornell University) preprint Economics, Econometrics and Finance Financial Risk and Volatility Modeling Open access

Fabian Mies

1

citations
Estimation of state-dependent jump activity and drift for Markovian semimartingales
2020 Journal of Statistical Planning and Inference article Economics, Econometrics and Finance Stochastic processes and financial applications Open access

Fabian Mies

2

citations
Simultaneous nonparametric confidence bands for load-sharing systems
2026 AStA Advances in Statistical Analysis article Mathematics Statistical Distribution Estimation and Applications Open access

Stefan Bedbur, Johann Köhne, Fabian Mies

0

citations
Nicht-parametrische Schätzung von Kundensegmenten mit Paneldaten
2021 RWTH Publications (RWTH Aachen) dissertation Business, Management and Accounting Customer churn and segmentation Open access

Johannes Ferdinand Jörg

1

citations
Bootstrap-based goodness-of-fit test for parametric families of conditional distributions
2025 Computational Statistics & Data Analysis article Mathematics Advanced Statistical Methods and Models Open access

Gitte Kremling, Gerhard Dikta

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
Context-Adaptive Thresholding for Conditionally Representative Monitoring and Classification
2026 arXiv (Cornell University) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access

Ansgar Steland

0

citations
Robustness Margin: A New Measure for the Robustness of Neural Networks
2025 Lecture notes in computer science conference-paper Computer Science Adversarial Robustness in Machine Learning

Lionel Kielhöfer, Annelot W. Bosman, Holger H. Hoos, Jan N. van Rijn

2

citations
System Identification for Dynamic Modeling of Large Steering Angle Vehicles
2025 arXiv (Cornell University) preprint Engineering Vehicle Dynamics and Control Systems Open access

Simone Baratto, Giancarlo Ferrari‐Trecate

0

citations
Histogram via entropy reduction (HER): an information-theoretic alternative for geostatistics
2020 Hydrology and earth system sciences article Environmental Science Soil Geostatistics and Mapping Open access

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

17

citations
Inference for Type-I and Type-II Hybrid Censored Minimal Repair and Record Data
2023 Journal of Statistical Theory and Practice article Mathematics Statistical Distribution Estimation and Applications Open access

Moritz Berzborn, Erhard Cramer

2

citations
MODE.behave: A Python Package for Discrete Choice Modeling
2023 The Journal of Open Source Software software-paper Economics, Econometrics and Finance Economic and Environmental Valuation Open access

Julian Reul, Thomas Grube, Jochen Linßen, Detlef Stolten

2

citations
Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression
2021 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Gaussian Processes and Bayesian Inference Open access cited by 1 patent

Christian Fiedler, Carsten W. Scherer, Sebastian Trimpe

48

citations
Exploiting Distinct Thermal Response Properties for Power Semiconductor Module Health Monitoring
2020 IEEE Journal of Emerging and Selected Topics in Power Electronics article Engineering Silicon Carbide Semiconductor Technologies cited by 4 patents

Timothy A. Polom, Christoph H. van der Broeck, Rik W. De Doncker

20

citations
Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression
2021 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Christian Fiedler, Carsten W. Scherer, Sebastian Trimpe

9

citations
Cramér-von-Mises tests for the distribution of the excess over a confidence level
2023 Journal of nonparametric statistics article Mathematics Statistical Distribution Estimation and Applications

Daniel Gaigall, Julian Gerstenberg

5

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
Euclid preparation
2025 Astronomy and Astrophysics article Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access

A. Biviano, R. Farinelli

2

citations
Statistical Learning of Nonlinear Stochastic Differential Equations from Nonstationary Time Series using Variational Clustering
2022 Multiscale Modeling and Simulation article Computer Science Time Series Analysis and Forecasting

Vyacheslav Boyko, Sebastian Krumscheid, Nikki Vercauteren

4

citations
Selecting fitted models under epistemic uncertainty using a stochastic process on quantile functions
2025 Nature Communications article Computer Science Gaussian Processes and Bayesian Inference Open access

Alexandre René, André Longtin

2

citations

24 results