A. Goldenshluger, A.
Nemirovski (1997).
On spatially adaptive estimation of nonparametric regression.
Math. Methods of
Statist. 6, 135-170.
A. Goldenshluger, A.
Nemirovski (1997).
Adaptive de-noising of signals satisfying differential inequalities.
IEEE Trans.
Information Theory 43, 872-889.
A. Goldenshluger (1998).
Nonparametric estimation of transfer functions: rates of convergence
and adaptation. IEEE Trans. Information Theory 44, 644-658.
A. Goldenshluger (1999).
On pointwise adaptive nonparametric deconvolution.
Bernoulli 5, 907-925.
A. Goldenshluger, D. Faraggi
(2000).
Nonparameteric estimation of weighted proportions with application to particle
size
measurement. Biometrika
87, 157-171.
A. Goldenshluger, S. Pereverzev (2000).
Adaptive estimation of linear functionals in Hilbert scales from indirect white noise
observations.
Probab. Theory and Related Fields 118, 169-186.
A. Goldenshluger, A. Tsybakov
(2001).
Adaptive prediction and estimation in
linear regression with infinitely many parameters.
Ann. Statist. 29, 1601-1619.
A. Goldenshluger (2002).
Density deconvolution in the circular structural model.
J. Multivariate Anal. 81, 350-375.
A. Goldenshluger, A. Tsybakov
(2003).
Optimal prediction for
linear regression with infinitely many parameters.
J. Multivariate Anal. 84, 40-60.
A. Goldenshluger, S. Pereverzev (2003).
On adaptive inverse estimation of linear functionals
in Hilbert scales.
Bernoulli 9, 783-807
A. Goldenshluger, A. Zeevi (2004).
The Hough transform estimator.
Ann. Statist. 32, 1908-1932
A. Goldenshluger, V. Spokoiny (2004).
On the shape-from-moments problem and recovering edges from noisy Radon data.
Probab. Theory and Related Fields 128, 123-140
A. Goldenshluger, V. Spokoiny (2006).
Recovering convex edges of an image from noisy tomographic data.
IEEE Trans. Information Theory 52, 1322-1334
A. Goldenshluger, A.Tsybakov and
A. Zeevi
(2006).
Optimal change-point estimation from indirect observations.
Ann. Statist. 34, 350-372
A. Goldenshluger, A. Juditsky, A.Tsybakov and A. Zeevi (2008).
Change-point estimation from indirect observations. 1. Minimax complexity.
Ann. Inst. H. Poincare Probab. Statist. 44 787-818.
A. Goldenshluger, A. Juditsky, A.Tsybakov and A. Zeevi (2008).
Change-point estimation from indirect observations. 2. Adaptation.
Ann. Inst. H. Poincare Probab. Statist. 44 819-836.
A. Goldenshluger, O. Lepski (2008).
Universal pointwise selection rule in multivariate function estimation .
Bernoulli , 14, 1150-1190.
A. Goldenshluger, O. Lepski (2009).
Structural adaptation via Lp-norm oracle inequalities.
Probab. Theory and Related Fields, 143, 41-71.
A. Goldenshluger and A. Zeevi (2009).
Woodroofe's one-armed bandit problem revisited .
Ann. Appl. Probab., 19, 1603-1633
A. Goldenshluger (2009).
A universal procedure for aggregating estimators.
Ann. Statist., 37, 542-568.
A. Goldenshluger and O. Lepski.
Uniform bounds for norms of sums of independent random functions.
Ann. Probab., to appear.
I. Dattner, A. Goldenshluger and A. Juditsky.
On deconvolution of distribution functions.
Submitted.,
A. Goldenshluger and O. Lepski.
Bandwidth selection in kernel density estimation:
oracle inequalities and adaptive minimax optimality.
Submitted.
