Estimating linear functionals of a sparse family of Poisson means
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Publication:1656848
DOI10.1007/s11203-018-9173-0OpenAlexW2963814177MaRDI QIDQ1656848
Olivier Collier, Arnak S. Dalalyan
Publication date: 10 August 2018
Published in: Statistical Inference for Stochastic Processes (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1712.01775
Related Items
Statistical inference for structured high-dimensional models. Abstracts from the workshop held March 11--17, 2018, Multidimensional linear functional estimation in sparse Gaussian models and robust estimation of the mean
Cites Work
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- Testing composite hypotheses, Hermite polynomials and optimal estimation of a nonsmooth functional
- Adaptive estimation of linear functionals in the convolution model and applications
- Nonparametric hypothesis testing for intensity of the Poisson process
- Tight conditions for consistency of variable selection in the context of high dimensionality
- Minimax quadratic estimation of a quadratic functional
- Nonparametric estimation by convex programming
- Optimal adaptive estimation of a quadratic functional
- An oracle approach to adaptive estimation of linear functionals in a Gaussian model
- Statistical inference for spatial Poisson processes
- On estimation of the \(L_r\) norm of a regression function
- Random vectors in the isotropic position
- Adaptive estimates of linear functionals
- Asymptotic equivalence for nonparametric generalized linear models
- Adaptive estimation of high-dimensional signal-to-noise ratios
- Equivalence theory for density estimation, Poisson processes and Gaussian white noise with drift
- Estimation of linear functionals of Poisson processes
- Adaptive estimation of a quadratic functional by model selection.
- Sharp adaptive estimation of linear functionals.
- Minimax estimation of linear functionals over nonconvex parameter spaces.
- Minimax testing of a composite null hypothesis defined via a quadratic functional in the model of regression
- Adaptive estimation of linear functionals by model selection
- Near optimal thresholding estimation of a Poisson intensity on the real line
- Minimax estimation of linear and quadratic functionals on sparsity classes
- Curve registration by nonparametric goodness-of-fit testing
- On adaptive estimation of linear functionals
- Adaptive Lasso and group-Lasso for functional Poisson regression
- On a Non-Parametric Analogue of the Information Matrix
- Model selection for Poisson processes
- Introduction to nonparametric estimation
