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Papers matching “estimation error bounds” 9

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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
A posteriori error analysis of a positivity preserving scheme for the power-law diffusion Keller-Segel model
2023 arXiv (Cornell University) preprint Mathematics Mathematical Biology Tumor Growth Open access

Jan Giesselmann, Niklas Kolbe

1

citations
Graphon Hawkes Processes: Sparse Estimation and Network Recovery
2026 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Justin R. Baars, Roger J. A. Laeven, Michel Mandjes

0

citations
Bad estimation, good prediction: the Lasso in dense regimes
2025 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Andrea Bratsberg, Magne Thoresen, Jelle J. Goeman

0

citations
Sequential Conditional Independence Testing with Machine Learning Models
2026 arXiv (Cornell University) preprint Mathematics Advanced Causal Inference Techniques Open access

Angel Reyero Lobo, Michele Meziu, Sebastian Uriel Arias, P. Grünwald

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
Multilevel randomized quasi Monte Carlo Estimator for nested integration
2024 arXiv (Cornell University) preprint Mathematics Mathematical Approximation and Integration Open access

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

0

citations
Rigorous estimates for the quasi-steady state approximation of the Michaelis-Menten reaction mechanism at low enzyme concentrations
2023 arXiv (Cornell University) preprint Mathematics Differential Equations and Numerical Methods Open access

Justin Eilertsen, Santiago D. Schnell, Sebastian Walcher

0

citations
Provable Diffusion Posterior Sampling for Bayesian Inversion
2025 arXiv (Cornell University) preprint Mathematics Markov Chains and Monte Carlo Methods Open access

0

citations

9 results