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Sparse signal detection in heteroscedastic Gaussian sequence models: sharp minimax rates
Sparse signal detection in heteroscedastic Gaussian sequence models: Sharp minimax
rates Page 1 Bernoulli 30(3), 2024, 2127–2153 https://doi.org/10.3150/23-BEJ1667 Sparse …
rates Page 1 Bernoulli 30(3), 2024, 2127–2153 https://doi.org/10.3150/23-BEJ1667 Sparse …
Minimax rates for sparse signal detection under correlation
S Kotekal, C Gao - Information and Inference: A Journal of the …, 2023 - academic.oup.com
We fully characterize the nonasymptotic minimax separation rate for sparse signal detection
in the Gaussian sequence model with equicorrelated observations, generalizing a result of …
in the Gaussian sequence model with equicorrelated observations, generalizing a result of …
Enhancing sparse regression modeling of hysteresis with optimized PIO algorithm in piezo actuator
The extensive application of piezo actuators is attributed to their high responsiveness and
ability to achieve nanoscale steps. However, the accuracy and stability of motion are …
ability to achieve nanoscale steps. However, the accuracy and stability of motion are …
Minimax estimation of functionals in sparse vector model with correlated observations
We consider the observations of an unknown $ s $-sparse vector ${\boldsymbol\theta} $
corrupted by Gaussian noise with zero mean and unknown covariance matrix …
corrupted by Gaussian noise with zero mean and unknown covariance matrix …
Sparse uniformity testing
In this paper we consider the uniformity testing problem for high-dimensional discrete
distributions (multinomials) under sparse alternatives. Specifically, we derive sharp …
distributions (multinomials) under sparse alternatives. Specifically, we derive sharp …
High-dimensional asymptotics of likelihood ratio tests in the Gaussian sequence model under convex constraints
High-dimensional asymptotics of likelihood ratio tests in the Gaussian sequence model under
convex constraints Page 1 The Annals of Statistics 2022, Vol. 50, No. 1, 376–406 …
convex constraints Page 1 The Annals of Statistics 2022, Vol. 50, No. 1, 376–406 …
[PDF][PDF] Contribution to minimax estimation and bioinformatics.
O Collier - 2022 - hal.science
Contribution to minimax estimation and bioinformatics. Page 1 HAL Id: tel-04398670 https://hal.science/tel-04398670v1
Submitted on 16 Jan 2024 HAL is a multi-disciplinary open access archive for the deposit …
Submitted on 16 Jan 2024 HAL is a multi-disciplinary open access archive for the deposit …
Near-Optimal Procedures for Model Discrimination with Non-Disclosure Properties
Let $\theta_0,\theta_1\in\mathbb {R}^ d $ be the population risk minimizers associated to
some loss $\ell:\mathbb {R}^ d\times\mathcal {Z}\to\mathbb {R} $ and two distributions …
some loss $\ell:\mathbb {R}^ d\times\mathcal {Z}\to\mathbb {R} $ and two distributions …