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Papers matching “optimal estimation” 64

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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
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
Learning-based importance sampling via stochastic optimal control for stochastic reaction networks
2023 Statistics and Computing article Mathematics Markov Chains and Monte Carlo Methods Open access

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

4

citations
Distributed function estimation: adaptation using minimal communication
2020 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Botond Szabó, Harry van Zanten

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
Stein 1956: Efficient nonparametric testing and estimation
2021 The Annals of Statistics article Mathematics Probability and Statistical Research

Aad van der Vaart, Jon A. Wellner

5

citations
Adaptive greedy algorithm for moderately large dimensions in kernel conditional density estimation
2021 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Minh-Lien Jeanne Nguyen, Claire Lacour, Vincent Rivoirard

2

citations
Out-of-sample estimation for a branch-and-bound algorithm with growing datasets
2025 Journal of Global Optimization article Mathematics Advanced Optimization Algorithms Research Open access

Susanne Saß, Alexander Mitsos, Nikolay Ivanov Nikolov, Angelos Tsoukalas

0

citations
Covariance estimation under one-bit quantization
2022 The Annals of Statistics article Mathematics Statistical Methods and Inference Open access

Sjoerd Dirksen, Johannes Maly, Holger Rauhut

26

citations
A branch-and-bound algorithm with growing datasets for large-scale parameter estimation
2024 European Journal of Operational Research article Mathematics Advanced Optimization Algorithms Research Open access

Susanne Saß, Alexander Mitsos, Dominik Bongartz, Ian H. Bell, Nikolay Ivanov Nikolov, Angelos Tsoukalas

7

citations
Cluster-aware continuous treatment effect estimation via Hellinger-based balanced representation learning
2026 Signal Processing article Mathematics Advanced Causal Inference Techniques Open access

Siyuan Zhao, Yiran Zhuo, Hongchang Liu, Lincen Yang, Shujian Yu

0

citations
A Wasserstein coupled particle filter for multilevel estimation
2022 Stochastic Analysis and Applications article Mathematics Markov Chains and Monte Carlo Methods Open access

Marco Ballesio, Ajay Jasra, Erik von Schwerin, Raul F. Tempone

9

citations
Optimal capacity sharing for global genomic surveillance
2023 Epidemics article Mathematics COVID-19 epidemiological studies Open access

Zsombor Zoltán Méder, Róbert Somogyi

3

citations
Towards global parameter estimation exploiting reduced data sets
2023 Optimization methods & software article Mathematics Advanced Optimization Algorithms Research Open access

Susanne Saß, Angelos Tsoukalas, Ian H. Bell, Dominik Bongartz, Jaromił Najman, Alexander Mitsos

3

citations
Re. Selecting Optimal Subgroups for Treatment Using Many Covariates
2020 Epidemiology article Mathematics Advanced Causal Inference Techniques Open access

Bas B. L. Penning de Vries, Rolf H. H. Groenwold, Alex R. Luedtke

2

citations
Optimal equivariant prediction regions based on multiply type-II censored generalized order statistics from exponential distributions
2020 Statistics article Mathematics Statistical Distribution Estimation and Applications

Grigoriy Volovskiy, Udo Kamps

3

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
State-dependent importance sampling for estimating expectations of functionals of sums of independent random variables
2023 Statistics and Computing article Mathematics Markov Chains and Monte Carlo Methods Open access

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

7

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
Reduced Rank Regression for Mixed Predictor and Response Variables
2024 arXiv (Cornell University) preprint Mathematics Statistical Methods and Applications Open access

Mark de Rooij, Lorenza Cotugno, Roberta Siciliano

0

citations
Reduced rank regression for mixed predictor and response variables
2025 British Journal of Mathematical and Statistical Psychology article Mathematics Statistical Methods and Applications Open access

Mark de Rooij, Lorenza Cotugno, Roberta Siciliano

0

citations
Posterior concentration for Bayesian regression trees and forests
2020 The Annals of Statistics article Mathematics Statistical Methods and Inference Open access

Veronika Ročková, Stéphanie van der Pas

72

citations
Deterministic global and hierarchical optimization for experimental design
2025 RWTH Publications (RWTH Aachen) dissertation Mathematics Advanced Optimization Algorithms Research Open access

Daniel Jungen

1

citations
libDIPS: An Open-Source Platform for Global Optimization of Hierarchical Optimization Problems
2026 Systems and Control Transactions conference-paper Mathematics Advanced Optimization Algorithms Research Open access

Adrian W. Lipow, Daniel Jungen, Aron Zingler, Hatim Djelassi, Alexander Mitsos

0

citations
Statistical Learning for Individualized Asset Allocation
2022 Figshare dataset Mathematics Statistical Methods and Inference Open access

Yi Ding, Yingying Li, Rui Song

0

citations