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Papers matching “confidence intervals” 506

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Uncertainty quantification in machine learning: confidence intervals for high-dimensional regression
2025 RWTH Publications (RWTH Aachen) dissertation Engineering Sparse and Compressive Sensing Techniques Open access

Frederik Hoppe

0

citations
Probabilistic Forecasting of PV Power Using Artificial Neural Networks with Confidence Intervals
2024 conference-paper Engineering Energy Load and Power Forecasting

Saloni Dhingra, Giambattista Gruosso, Giancarlo Storti Gajani

3

citations
Linear Monte Carlo quadrature with optimal confidence intervals
2024 Journal of Complexity article Mathematics Mathematical Approximation and Integration Open access

Robert J. Kunsch

0

citations
Linear Monte Carlo quadrature with optimal confidence intervals
2023 arXiv (Cornell University) preprint Mathematics Mathematical Approximation and Integration Open access

Robert J. Kunsch

0

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
Confidence interval comparison: Precision of maximum likelihood estimates in LLOQ affected data
2023 PLoS ONE article Mathematics Statistical Methods and Bayesian Inference Open access

Tanja Bülow, R.-D Hilgers, Nicole Maria Heussen

4

citations
With or Without Replacement? Improving Confidence in Fourier Imaging
2024 conference-paper Medicine Advanced MRI Techniques and Applications

Frederik Hoppe, Claudio Mayrink Verdun, Felix Krahmer, Marion Irene Menzel, Holger Rauhut

0

citations
With or Without Replacement? Improving Confidence in Fourier Imaging
2024 arXiv (Cornell University) preprint Medicine Advanced MRI Techniques and Applications Open access

Frederik Hoppe, Claudio Mayrink Verdun, Felix Krahmer, Marion Irene Menzel, Holger Rauhut

0

citations
Imaging with Confidence: Uncertainty Quantification for High-Dimensional Undersampled MR Images
2024 Lecture notes in computer science conference-paper Medicine Medical Imaging Techniques and Applications

Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Sebastian Endt, Marion Irene Menzel, Felix Krahmer, +1 more

1

citations
Optimal two-sided tests and confidence regions for Conway–Maxwell–Poisson parameters
2024 Journal of Statistical Computation and Simulation article Mathematics Statistical Distribution Estimation and Applications Open access

Stefan Bedbur

0

citations
High-Dimensional Confidence Regions in Sparse MRI
2023 conference-paper Engineering Sparse and Compressive Sensing Techniques Open access

Frederik Hoppe, Felix Krahmer, Claudio Mayrink Verdun, Marion Irene Menzel, Holger Rauhut

5

citations
Exact inference for the parameter of the exponential distribution based on type-I censored stage life testing data
2025 Journal of Statistical Computation and Simulation article Mathematics Statistical Distribution Estimation and Applications

Erhard Cramer, Farha Sultana

0

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
Exact Likelihood Inference for an Exponential Parameter under a Multi-Sample Type-II Progressive Hybrid Censoring Model
2021 American Journal of Mathematical and Management Sciences article Mathematics Statistical Distribution Estimation and Applications

Marcel A. K. Jansen, Erhard Cramer, Julian Górny

4

citations
Inference and Optimal Plan in Stage Life Testing Using Maximum Product of Spacings and Maximum Likelihood Estimation Method
2026 Quality and Reliability Engineering International article Mathematics Statistical Distribution Estimation and Applications

Asad Uddin, Farha Sultana, Erhard Cramer

1

citations
A Hybrid CART-Gaussian Process Framework for Day-Ahead Electricity Load Forecasting with Uncertainty Quantification
2025 conference-paper Engineering Energy Load and Power Forecasting

Ei Thu Thu Tun, Chawalit Jeenanunta, Pyae Pyae Phyo, Kamal Chapagain

0

citations
Quantifying Experimental Variability in Shear-Induced Hemolysis to Support Uncertainty-Aware Hemolysis Models
2025 Annals of Biomedical Engineering article Business, Management and Accounting Blood donation and transfusion practices Open access

Christopher Blum, Markus Mous, Ulrich Steinseifer, Johanna C. Clauser, Michael Neidlin

4

citations
Heterogeneous step-stress accelerated life testing
2025 RWTH Publications (RWTH Aachen) dissertation Mathematics Statistical Distribution Estimation and Applications Open access

Yao Lu

0

citations
Parameter uncertainties in weighted unbinned maximum likelihood fits
2022 The European Physical Journal C article Physics and Astronomy Particle physics theoretical and experimental studies Open access

Christoph Langenbruch

47

citations
Reduction of ADC bias in diffusion MRI with deep learning-based acceleration: A phantom validation study at 3.0 T
2024 Magnetic Resonance Imaging article Medicine Advanced Neuroimaging Techniques and Applications Open access

Teresa Lemainque, Masami Yoneyama, Chiara Morsch, Elene Iordanishvili, Alexandra Barabasch, Maximilian Franz Schulze-Hagen, +3 more

12

citations
k‐step stage life testing
2020 Statistica Neerlandica article Mathematics Statistical Distribution Estimation and Applications Open access

Benjamin Laumen, Erhard Cramer

11

citations
Multi-sample progressive Type-I censoring of exponentially distributed lifetimes
2020 Communication in Statistics- Theory and Methods article Mathematics Statistical Distribution Estimation and Applications

Erhard Cramer, Julian Górny, Benjamin Laumen

8

citations
Stage life testing with random stage changing times
2020 Communication in Statistics- Theory and Methods article Mathematics Statistical Distribution Estimation and Applications

Benjamin Laumen, Erhard Cramer

7

citations
Formal Visual Evaluation and Study of Objective Metrics for MPEG Dynamic Mesh Coding
2022 conference-paper Computer Science Video Coding and Compression Technologies

Mathias Wien, Joël Jung, Vittorio Baroncini

5

citations
Uncertainty Quantification For Learned ISTA
2023 IEEE International Workshop on Machine Learning for Signal Processing (MLSP) conference-paper Mathematics Numerical methods in inverse problems

Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Felix Krahmer, Holger Rauhut

4

citations