Minimax convergence rates of a binary plug-in type classification procedure for time-homogeneous SDE paths under low-noise conditions
Fuente:
arXiv
Saved in:
| Main Author: | Ella-Mintsa, Eddy Michel |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Minimax convergence rates of a binary classification procedure for time-homogeneous SDE paths
by: Mintsa, Eddy Michel Ella
Published: (2025)
by: Mintsa, Eddy Michel Ella
Published: (2025)
Minimax rates of convergence for the nonparametric estimation of the diffusion coefficient from time-homogeneous SDE paths
by: Mintsa, Eddy Michel Ella
Published: (2025)
by: Mintsa, Eddy Michel Ella
Published: (2025)
Nonparametric estimation of the diffusion coefficient from S.D.E. paths
by: Ella-Mintsa, Eddy
Published: (2023)
by: Ella-Mintsa, Eddy
Published: (2023)
Nonparametric plug‐in classifier for multiclass classification of S.D.E. paths
by: Christophe Denis, et al.
Published: (2024)
by: Christophe Denis, et al.
Published: (2024)
Empirical risk minimization algorithm for multiclass classification of S.D.E. paths
by: Denis, Christophe, et al.
Published: (2025)
by: Denis, Christophe, et al.
Published: (2025)
Minimax Optimal rates of convergence in the shuffled regression, unlinked regression, and deconvolution under vanishing noise
by: Durot, Cecile, et al.
Published: (2024)
by: Durot, Cecile, et al.
Published: (2024)
Minimax rates of convergence for nonparametric regression under adversarial attacks
by: Peng, Jingfu, et al.
Published: (2024)
by: Peng, Jingfu, et al.
Published: (2024)
Minimax rate for multivariate data under componentwise local differential privacy constraints
by: Amorino, Chiara, et al.
Published: (2023)
by: Amorino, Chiara, et al.
Published: (2023)
Minimax optimal testing by classification
by: Gerber, Patrik Róbert, et al.
Published: (2023)
by: Gerber, Patrik Róbert, et al.
Published: (2023)
Minimax rates in variance and covariance changepoint testing
by: Moen, Per August Jarval
Published: (2024)
by: Moen, Per August Jarval
Published: (2024)
Minimax optimal seriation in polynomial time
by: Issartel, Yann, et al.
Published: (2024)
by: Issartel, Yann, et al.
Published: (2024)
LAD estimation of locally stable SDE
by: Kulyk, Oleksii M., et al.
Published: (2026)
by: Kulyk, Oleksii M., et al.
Published: (2026)
Optimal plug-in Gaussian processes for modeling derivatives
by: Liu, Zejian, et al.
Published: (2022)
by: Liu, Zejian, et al.
Published: (2022)
Minimax and adaptive estimation of general linear functionals under sparsity
by: Xie, Jie, et al.
Published: (2025)
by: Xie, Jie, et al.
Published: (2025)
Unsupervised optimal deep transfer learning for classification under general conditional shift
by: Lang, Junjun, et al.
Published: (2025)
by: Lang, Junjun, et al.
Published: (2025)
Nonparametric Estimation in SDE Models Involving an Explanatory Process
by: Comte, Fabienne, et al.
Published: (2025)
by: Comte, Fabienne, et al.
Published: (2025)
Minimax asymptotics
by: Meitz, Mika, et al.
Published: (2025)
by: Meitz, Mika, et al.
Published: (2025)
Minimax density estimation in the adversarial framework under local differential privacy
by: Albert, Mélisande, et al.
Published: (2024)
by: Albert, Mélisande, et al.
Published: (2024)
Minimax Statistical Estimation under Wasserstein Contamination
by: Chao, Patrick, et al.
Published: (2023)
by: Chao, Patrick, et al.
Published: (2023)
Minimax Linear Regression under the Quantile Risk
by: Hanchi, Ayoub El, et al.
Published: (2024)
by: Hanchi, Ayoub El, et al.
Published: (2024)
ERM-Lasso classification algorithm for Multivariate Hawkes Processes paths
by: Dion-Blanc, Charlotte, et al.
Published: (2024)
by: Dion-Blanc, Charlotte, et al.
Published: (2024)
Minimaxity under the half-Cauchy prior
by: Maruyama, Yuzo, et al.
Published: (2024)
by: Maruyama, Yuzo, et al.
Published: (2024)
Minimax optimal submatrix detection: Sharp non-asymptotic rates
by: Knight, Parker, et al.
Published: (2026)
by: Knight, Parker, et al.
Published: (2026)
Nonparametric Estimation for I.I.D. Paths of Fractional SDE
by: Comte, Fabienne, et al.
Published: (2020)
by: Comte, Fabienne, et al.
Published: (2020)
On the rate of convergence to the Boolean extreme value distribution under the von Mises condition
by: Ueda, Yuki
Published: (2025)
by: Ueda, Yuki
Published: (2025)
Hierarchical Besov-Laplace priors for spatially inhomogeneous binary classification
by: Dolmeta, Patric, et al.
Published: (2025)
by: Dolmeta, Patric, et al.
Published: (2025)
Quasi-likelihood inference for SDE with mixed-effects observed at high frequency
by: Delattre, Maud, et al.
Published: (2025)
by: Delattre, Maud, et al.
Published: (2025)
Statistical inference for rough volatility: Minimax Theory
by: Chong, Carsten, et al.
Published: (2022)
by: Chong, Carsten, et al.
Published: (2022)
Minimax and Adaptive Covariance Matrix Estimation under Differential Privacy
by: Cai, T. Tony, et al.
Published: (2026)
by: Cai, T. Tony, et al.
Published: (2026)
Parametric convergence rate of a non-parametric estimator in multivariate mixtures of power series distributions under conditional independence
by: Balabdaoui, Fadoua, et al.
Published: (2025)
by: Balabdaoui, Fadoua, et al.
Published: (2025)
Bayesian inference with Besov-Laplace priors for spatially inhomogeneous binary classification surfaces
by: Giordano, Matteo
Published: (2025)
by: Giordano, Matteo
Published: (2025)
On a Computable Skorokhod's Integral Based Estimator of the Drift Parameter in Fractional SDE
by: Marie, Nicolas
Published: (2023)
by: Marie, Nicolas
Published: (2023)
Likelihood ratio for a binary Bayesian classifier under a noise-exclusion model
by: Gifford, Howard C.
Published: (2026)
by: Gifford, Howard C.
Published: (2026)
Adversarial learning for nonparametric regression: Minimax rate and adaptive estimation
by: Peng, Jingfu, et al.
Published: (2025)
by: Peng, Jingfu, et al.
Published: (2025)
Minimax Simple Bayes Estimators of a Normal Variance
by: Maruyama, Yuzo
Published: (2026)
by: Maruyama, Yuzo
Published: (2026)
Treatment effect estimation under convergent network interference
by: Park, Bryan, et al.
Published: (2026)
by: Park, Bryan, et al.
Published: (2026)
On a Calculable Skorokhod's Integral Based Projection Estimator of the Drift Function in Fractional SDE
by: Marie, Nicolas
Published: (2023)
by: Marie, Nicolas
Published: (2023)
Finite sample rates of convergence for the Bigraphical and Tensor graphical Lasso estimators
by: Zhou, Shuheng, et al.
Published: (2023)
by: Zhou, Shuheng, et al.
Published: (2023)
Wasserstein GANs are Minimax Optimal Distribution Estimators
by: Stéphanovitch, Arthur, et al.
Published: (2023)
by: Stéphanovitch, Arthur, et al.
Published: (2023)
Minimax Optimal Rates for Regression on Manifolds and Distributions
by: Tang, Rong, et al.
Published: (2025)
by: Tang, Rong, et al.
Published: (2025)
Similar Items
-
Minimax convergence rates of a binary classification procedure for time-homogeneous SDE paths
by: Mintsa, Eddy Michel Ella
Published: (2025) -
Minimax rates of convergence for the nonparametric estimation of the diffusion coefficient from time-homogeneous SDE paths
by: Mintsa, Eddy Michel Ella
Published: (2025) -
Nonparametric estimation of the diffusion coefficient from S.D.E. paths
by: Ella-Mintsa, Eddy
Published: (2023) -
Nonparametric plug‐in classifier for multiclass classification of S.D.E. paths
by: Christophe Denis, et al.
Published: (2024) -
Empirical risk minimization algorithm for multiclass classification of S.D.E. paths
by: Denis, Christophe, et al.
Published: (2025)