Support and distribution inference from noisy data
Fuente:
arXiv
Saved in:
| Main Authors: | Capitao-Miniconi, Jérémie, Gassiat, Elisabeth, Lehéricy, Luc |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Deconvolution of repeated measurements corrupted by unknown noise
by: Capitao-Miniconi, Jérémie, et al.
Published: (2024)
by: Capitao-Miniconi, Jérémie, et al.
Published: (2024)
The van Trees inequality in the spirit of Hajek and Le Cam
by: Elisabeth, Gassiat, et al.
Published: (2024)
by: Elisabeth, Gassiat, et al.
Published: (2024)
General oracle inequalities for a penalized log-likelihood criterion based on non-stationary data
by: Aubert, Julien, et al.
Published: (2024)
by: Aubert, Julien, et al.
Published: (2024)
On the impossibility of detecting a late change-point in the preferential attachment random graph model
by: Kaddouri, Ibrahim, et al.
Published: (2024)
by: Kaddouri, Ibrahim, et al.
Published: (2024)
Clustering risk in Non-parametric Hidden Markov and I.I.D. Models
by: Gassiat, Elisabeth, et al.
Published: (2023)
by: Gassiat, Elisabeth, et al.
Published: (2023)
Frontiers to the learning of nonparametric hidden Markov models
by: Abraham, Kweku, et al.
Published: (2023)
by: Abraham, Kweku, et al.
Published: (2023)
Statistical inference for highly correlated stationary point processes and noisy bivariate Neyman-Scott processes
by: Shiotani, Takaaki, et al.
Published: (2024)
by: Shiotani, Takaaki, et al.
Published: (2024)
Asymptotic distribution and convergence rates of stochastic algorithms for entropic optimal transportation between probability measures
by: Bercu, Bernard, et al.
Published: (2018)
by: Bercu, Bernard, et al.
Published: (2018)
Pair-Matching: Links Prediction with Adaptive Queries
by: Giraud, Christophe, et al.
Published: (2019)
by: Giraud, Christophe, et al.
Published: (2019)
Statistical inference on kurtosis of elliptical distributions
by: Zhou, Bowen, et al.
Published: (2024)
by: Zhou, Bowen, et al.
Published: (2024)
Temporal label recovery from noisy dynamical data
by: Khoo, Yuehaw, et al.
Published: (2024)
by: Khoo, Yuehaw, et al.
Published: (2024)
Privacy enhanced collaborative inference in the Cox proportional hazards model for distributed data
by: Hu, Mengtong, et al.
Published: (2024)
by: Hu, Mengtong, et al.
Published: (2024)
High-dimensional ridge regression with random features for non-identically distributed data with a variance profile
by: Dabo, Issa-Mbenard, et al.
Published: (2025)
by: Dabo, Issa-Mbenard, et al.
Published: (2025)
Canonical correlation regression with noisy data
by: Meza, Isaac, et al.
Published: (2025)
by: Meza, Isaac, et al.
Published: (2025)
Minimax estimation of Functional Principal Components from noisy discretized functional data: the case of smooth processes
by: Bourarach, Nassim, et al.
Published: (2026)
by: Bourarach, Nassim, et al.
Published: (2026)
Estimating sample paths of Gauss-Markov processes from noisy data
by: Davies, Benjamin
Published: (2024)
by: Davies, Benjamin
Published: (2024)
High-dimensional analysis of ridge regression for non-identically distributed data with a variance profile
by: Bigot, Jérémie, et al.
Published: (2024)
by: Bigot, Jérémie, et al.
Published: (2024)
Optimal estimation of the null distribution in large-scale inference
by: Kotekal, Subhodh, et al.
Published: (2024)
by: Kotekal, Subhodh, et al.
Published: (2024)
Palm distributions of superposed point processes for statistical inference
by: Beraha, Mario, et al.
Published: (2025)
by: Beraha, Mario, et al.
Published: (2025)
Mosaic inference on panel data
by: Spector, Asher, et al.
Published: (2025)
by: Spector, Asher, et al.
Published: (2025)
Limit results for distributed estimation of invariant subspaces in multiple networks inference and PCA
by: Zheng, Runbing, et al.
Published: (2022)
by: Zheng, Runbing, et al.
Published: (2022)
Distribution-free inference with hierarchical data
by: Lee, Yonghoon, et al.
Published: (2023)
by: Lee, Yonghoon, et al.
Published: (2023)
Optimal tuning-free convex relaxation for noisy matrix completion
by: Yang, Yuepeng, et al.
Published: (2022)
by: Yang, Yuepeng, et al.
Published: (2022)
Distribution-uniform anytime-valid sequential inference and the Robbins-Siegmund distributions
by: Waudby-Smith, Ian, et al.
Published: (2023)
by: Waudby-Smith, Ian, et al.
Published: (2023)
Asymptotics of cut distributions and robust modular inference using Posterior Bootstrap
by: Pompe, Emilia, et al.
Published: (2021)
by: Pompe, Emilia, et al.
Published: (2021)
Asymptotic analysis of the Gaussian kernel matrix for partially noisy data in high dimensions
by: Aishima, Kensuke
Published: (2026)
by: Aishima, Kensuke
Published: (2026)
Two-sample inference for sparse functional data
by: Zhang, Chi, et al.
Published: (2023)
by: Zhang, Chi, et al.
Published: (2023)
Testing of fractional Brownian motion in a noisy environment
by: Balcerek, Michal, et al.
Published: (2019)
by: Balcerek, Michal, et al.
Published: (2019)
Differentially private inference framework of Riemannian manifold data
by: Jiang, Yangdi, et al.
Published: (2026)
by: Jiang, Yangdi, et al.
Published: (2026)
Monge-Kantorovich superquantiles and expected shortfalls with applications to multivariate risk measurements
by: Bercu, Bernard, et al.
Published: (2023)
by: Bercu, Bernard, et al.
Published: (2023)
Polynomial approximation of noisy functions
by: Matsuda, Takeru, et al.
Published: (2024)
by: Matsuda, Takeru, et al.
Published: (2024)
Statistical inference in SEM for diffusion processes with jumps based on high-frequency data
by: Kusano, Shogo, et al.
Published: (2025)
by: Kusano, Shogo, et al.
Published: (2025)
Performance of the stochastic MV-PURE estimator in highly noisy settings
by: Piotrowski, Tomasz, et al.
Published: (2013)
by: Piotrowski, Tomasz, et al.
Published: (2013)
Turning the information-sharing dial: efficient inference from different data sources
by: Hector, Emily C., et al.
Published: (2022)
by: Hector, Emily C., et al.
Published: (2022)
Statistical inference for rough volatility: Minimax Theory
by: Chong, Carsten, et al.
Published: (2022)
by: Chong, Carsten, et al.
Published: (2022)
Asymptotics for conformal inference
by: Gazin, Ulysse
Published: (2024)
by: Gazin, Ulysse
Published: (2024)
Relative belief inferences from decision theory
by: Evans, Michael, et al.
Published: (2024)
by: Evans, Michael, et al.
Published: (2024)
Theory and inference for multivariate autoregressive binary models with an application to absence-presence data in ecology
by: Franchi, Guillaume, et al.
Published: (2024)
by: Franchi, Guillaume, et al.
Published: (2024)
Adaptive conformal classification with noisy labels
by: Sesia, Matteo, et al.
Published: (2023)
by: Sesia, Matteo, et al.
Published: (2023)
Sampling models for selective inference
by: Rasines, Daniel Garcia, et al.
Published: (2025)
by: Rasines, Daniel Garcia, et al.
Published: (2025)
Similar Items
-
Deconvolution of repeated measurements corrupted by unknown noise
by: Capitao-Miniconi, Jérémie, et al.
Published: (2024) -
The van Trees inequality in the spirit of Hajek and Le Cam
by: Elisabeth, Gassiat, et al.
Published: (2024) -
General oracle inequalities for a penalized log-likelihood criterion based on non-stationary data
by: Aubert, Julien, et al.
Published: (2024) -
On the impossibility of detecting a late change-point in the preferential attachment random graph model
by: Kaddouri, Ibrahim, et al.
Published: (2024) -
Clustering risk in Non-parametric Hidden Markov and I.I.D. Models
by: Gassiat, Elisabeth, et al.
Published: (2023)