Pages that link to "Item:Q2494404"
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The following pages link to Propagation-separation approach for local likelihood estimation (Q2494404):
Displaying 27 items.
- Finite sample Bernstein-von Mises theorem for semiparametric problems (Q273627) (← links)
- A different perspective on the propagation-separation approach (Q384263) (← links)
- A robust, adaptive M-estimator for pointwise estimation in heteroscedastic regression (Q396020) (← links)
- A new Poisson noise filter based on weights optimization (Q461238) (← links)
- Critical dimension in the semiparametric Bernstein-von Mises theorem (Q492184) (← links)
- Minimax and minimax adaptive estimation in multiplicative regression: locally Bayesian approach (Q714947) (← links)
- Identifying Berlin's land value map using adaptive weights smoothing (Q740090) (← links)
- Selecting local models in multiple regression by maximizing power (Q745341) (← links)
- On data-driven choice of \(\lambda\) in nonparametric Gaussian regression via propagation-separation approach (Q829716) (← links)
- From local kernel to nonlocal multiple-model image denoising (Q847522) (← links)
- Multiscale local change point detection with applications to value-at-risk (Q1018645) (← links)
- Convergence theorems for the non-local means filter (Q1673854) (← links)
- A new similarity measure for nonlocal filtering in the presence of multiplicative noise (Q1927162) (← links)
- Non-local methods with shape-adaptive patches (NLM-SAP) (Q1932941) (← links)
- Local quantile regression (Q2434697) (← links)
- Multiscale adaptive smoothing models for the hemodynamic response function in fMRI (Q2443156) (← links)
- Spatial aggregation of local likelihood estimates with applications to classification (Q2466691) (← links)
- Propagation-separation approach for local likelihood estimation (Q2494404) (← links)
- Bandwidth selection in kernel empirical risk minimization via the gradient (Q2515491) (← links)
- Structural Adaptive Smoothing Procedures (Q2847945) (← links)
- Multiscale Adaptive Regression Models for Neuroimaging Data (Q3100685) (← links)
- Data-Adaptive Estimation of Time-Varying Spectral Densities (Q3391227) (← links)
- MODELING NONSTATIONARY AND LEPTOKURTIC FINANCIAL TIME SERIES (Q3450343) (← links)
- Nonlocal Means and Optimal Weights for Noise Removal (Q4689646) (← links)
- Efficient Functional ANOVA Through Wavelet-Domain Markov Groves (Q4962446) (← links)
- Spatially Varying Coefficient Model for Neuroimaging Data With Jump Discontinuities (Q4975561) (← links)
- Bayesian Spatial Transformation Models with Applications in Neuroimaging Data (Q5408031) (← links)
