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Papers matching “error probability estimation” 79

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Error Mitigation via Verified Phase Estimation
2021 PRX Quantum article Computer Science Quantum Computing Algorithms and Architecture Open access

Stefano Polla, Sam McArdle

73

citations
An improved model combining machine learning and Kalman filtering architecture for state of charge estimation of lithium-ion batteries
2024 Green Energy and Intelligent Transportation article Engineering Advanced Battery Technologies Research Open access

Yan Li, Min Ye, Qiao Wang, Gaoqi Lian, Baozhou Xia

72

citations
The feasibility of a Bayesian network model to assess the probability of simultaneous symptoms in patients with advanced cancer
2022 Scientific Reports article Medicine Palliative Care and End-of-Life Issues Open access

Lotte van der Stap, Myrthe F. van Haaften, Esther F. van Marrewijk, Albert H de Heij, Paula L. Jansen, Janine M. N. Burgers, +4 more

8

citations
Input estimation from discrete workload observations in a Lévy-driven storage system
2024 Statistics & Probability Letters article Business, Management and Accounting Advanced Queuing Theory Analysis Open access

Dennis Nieman, Michel Mandjes, Liron Ravner

1

citations
Smart Process Failure Analysis based on Bayesian Networks and Knowledge Graphs
2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) conference-paper Engineering Fault Detection and Control Systems

Aleksandra Müller, Luca Simon, Oliver Petrović, Werner Herfs, Christian Brecher

0

citations
An Accurate Sample Rejection Estimator of the Outage Probability With Equal Gain Combining
2020 IEEE Open Journal of the Communications Society article Engineering Advanced Wireless Communication Techniques Open access

Nadhir Ben Rached, Abla Kammoun, Mohamed‐Slim Alouini, Raul F. Tempone

2

citations
Machine Learning Optimal Quantum Error Correction Thresholds
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Dominik Seip, Luis Colmenárez, Markus Schmitt, Markus Müller

0

citations
Machine Learning Optimal Quantum Error Correction Thresholds
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Dominik Seip, Luis Colmenárez, Markus Schmitt, Markus Müller

0

citations
Evolutionary Optimization Strategy for Indoor Position Estimation Using Smartphones
2021 Electronics article Engineering Indoor and Outdoor Localization Technologies Open access

Jan Grottke, Jörg Blankenbach

11

citations
BOP2-ENR: a Bayesian optimal phase II design for adaptive enrichment with family-wise error rate control and a bound on joint-claim power
2026 arXiv (Cornell University) preprint Mathematics Statistical Methods in Clinical Trials Open access

Kentaro Takeda, Belay Birlie Yimer, Masahiro Kojima

0

citations
Causal clarity in statistical software
2025 International Journal of Epidemiology article Mathematics Advanced Causal Inference Techniques Open access

Maurice N Korf, Nan van Geloven, Jesse H. Krijthe, Jeremy Alexander Labrecque

0

citations
Sharp Error Term in Local Limit Theorems and Mixing for Lorentz Gases with Infinite Horizon
2021 Communications in Mathematical Physics article Mathematics Mathematical Dynamics and Fractals Open access

Françoise Pène, Dalia Terhesiu

15

citations
Double-loop importance sampling for McKean–Vlasov stochastic differential equation
2024 Statistics and Computing article Economics, Econometrics and Finance Stochastic processes and financial applications Open access

Nadhir Ben Rached, Abdul-Lateef Haji-Ali, Shyam Mohan Subbiah Pillai, Raul F. Tempone

9

citations
Optimal Importance Sampling via Stochastic Optimal Control for Stochastic Reaction Networks
2021 arXiv (Cornell University) preprint Economics, Econometrics and Finance Stochastic processes and financial applications Open access

Chiheb Ben Hammouda, Nadhir Ben Rached, Raul F. Tempone, Sophia Wiechert

0

citations
QUANTIFYING UNCERTAIN SYSTEM OUTPUTS VIA THE MULTI-LEVEL MONTE CARLO METHOD-DISTRIBUTION AND ROBUSTNESS MEASURES
2023 International Journal for Uncertainty Quantification article Decision Sciences Probabilistic and Robust Engineering Design Open access

Q. Ayoul-Guilmard, Sebastian Krumscheid, Fabio Nobile

9

citations
Efficient Importance Sampling for the Left Tail of Positive Gaussian Quadratic Forms
2020 IEEE Wireless Communications Letters article Mathematics Markov Chains and Monte Carlo Methods Open access

Chaouki Ben Issaid, Mohamed‐Slim Alouini

3

citations
Data-driven uncertainty quantification for constrained stochastic differential equations and application to solar photovoltaic power forecast data
2025 Statistics and Computing article Engineering Energy Load and Power Forecasting Open access

Khaoula Ben Chaabane, Ahmed Kebaier, Marco Scavino, Raul F. Tempone

3

citations
On Sampling-Based Training Criteria for Neural Language Modeling
2021 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Yingbo Gao, David Thulke, Alexander Gerstenberger, Ralf Schlüter, Hermann Ney

0

citations
Title, abstract, and keyword searching resulted in poor recovery of articles in systematic reviews of epidemiologic practice
2020 Journal of Clinical Epidemiology review Decision Sciences Meta-analysis and systematic reviews Open access

Bas B. L. Penning de Vries, Maarten van Smeden, Frits Richard Rosendaal, Rolf H. H. Groenwold

68

citations
Self-Normalized Importance Sampling for Neural Language Modeling
2022 Interspeech (USB) conference-paper Computer Science Speech Recognition and Synthesis

Zijian Győző Yang, Yingbo Gao, Alexander Gerstenberger, Jintao Jiang, Ralf Schlüter, Hermann Ney

1

citations
Self-Normalized Importance Sampling for Neural Language Modeling
2021 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Zijian Yang, Yingbo Gao, Alexander Gerstenberger, Jintao Jiang, Ralf Schlüter, Hermann Ney

0

citations
AN EFFICIENT COMPUTATIONAL METHOD FOR PARAMETER IDENTIFICATION IN THE CONTEXT OF RANDOM SET THEORY VIA BAYESIAN INVERSION
2020 International Journal for Uncertainty Quantification article Decision Sciences Probabilistic and Robust Engineering Design

Truong‐Vinh Hoang, Hermann Georg Matthies

5

citations
Least squares and marginal log-likelihood model predictive control using normalizing flows
2025 Journal of Process Control article Engineering Advanced Control Systems Optimization Open access

Eike Cramer

1

citations
Extinction probabilities of small structured populations: adequate short-term model predictions in Folsomia candida
2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Medicine Mathematical and Theoretical Epidemiology and Ecology Models Open access

Tom J. M. Van Dooren, Patsy Haccou, Gerard Hermus, Tully T.

0

citations
Erratum: Galactic potential constraints from clustering in action space of combined stellar stream data
2022 Monthly Notices of the Royal Astronomical Society erratum Physics and Astronomy Stellar, planetary, and galactic studies Open access

Stella Reino, Elena Maria Rossi, Robyn E. Sanderson, Elena Sellentin, A. Helmi, Helmer H. Koppelman, +1 more

3

citations