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Papers matching “variance estimation” 12

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Surfacing Estimation Uncertainty in the Decay Parameters of Hawkes Processes with Exponential Kernels
2021 arXiv (Cornell University) preprint Mathematics Point processes and geometric inequalities Open access

Tiago Santos, Florian Lemmerich, Denis Helić

0

citations
Learning-Based Importance Sampling via Stochastic Optimal Control for Stochastic Reaction Networks
2021 arXiv (Cornell University) preprint Mathematics Markov Chains and Monte Carlo Methods Open access

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

0

citations
Integrating relative survival in multi-state models -- a non-parametric approach
2021 arXiv (Cornell University) preprint Mathematics Probability and Statistical Research Open access

Damjan Manevski, Hein Putter, M. Pohar Perme, Edouard F. Bonneville, Johannes Schetelig, L. C. de Wreede

0

citations
State-dependent Importance Sampling for Estimating Expectations of Functionals of Sums of Independent Random Variables
2022 arXiv (Cornell University) preprint Mathematics Markov Chains and Monte Carlo Methods Open access

Eya Ben Amar, Nadhir Ben Rached, Abdul-Lateef Haji-Ali, Raul F. Tempone

0

citations
Extreme data compression for Bayesian model comparison
2023 arXiv (Cornell University) preprint Mathematics Statistical Methods and Bayesian Inference Open access

Alan Heavens, Arrykrishna Mootoovaloo, Roberto Trotta, Elena Sellentin

0

citations
Testing for Stable Intervals in Non-Stationary Time Series
2026 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Florian Heinrichs

0

citations
Double-loop randomized quasi-Monte Carlo estimator for nested integration
2023 RWTH Publications (RWTH Aachen) preprint Mathematics Mathematical Approximation and Integration Open access

Arved Bartuska, André Gustavo Carlon, Luis Espath, Sebastian Krumscheid, Raul F. Tempone

0

citations
G-formula for causal inference via multiple imputation
2023 arXiv (Cornell University) preprint Mathematics Advanced Causal Inference Techniques Open access

Jonathan William Bartlett, Camila Olarte Parra

3

citations
Outliers May Not Be Automatically Removed
2022 preprint Mathematics Advanced Statistical Methods and Models Open access

Julian David Karch

2

citations
Environmental factors and mobility predict COVID-19 seasonality
2021 medRxiv preprint Mathematics COVID-19 epidemiological studies Open access

Martijn J. Hoogeveen, Aloys C.M. Kroes, Ellen Karen Hoogeveen

0

citations
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning
2024 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

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

0

citations
Think before you shrink: Alternatives to default shrinkage methods can improve prediction accuracy, calibration and coverage
2023 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Mark A. van de Wiel, Gwenaël G. R. Leday, Jeroen Hoogland, Martijn W. Heymans, Erik W. van Zwet, Ailko H. Zwinderman

5

citations

12 results