Goldenshluger, A., Malinovsky, Ya., and Zeevi, A. (2025). Optimal single threshold stopping rules and sharp prophet inequalities. Submitted.
Li, W. and Goldenshluger, A. (2024). Adaptive minimax estimation of service time distribution in the Mt/G/∞ queue from departure data. Queueing Systems 108, 81-123.
Donner, A. and Goldenshluger, A. (2024). Statistical inference in circular structural model and fitting circles to noisy data. J. Computational and Graphical Statistics, in press.
Goldenshluger, A. and Jacobovic, R. (2024). Smoluchowski processes and nonparametric estimation of functionals of particle displacement distributions from count data. Ann. Appl. Probab. 34, 1224-1270.
Goldenshluger, A. and Lepski, O. (2022). Minimax estimation of norms of a probability density: II. Rate-optimal estimation procedures. Bernoulli 28, 1155-1178.
Goldenshluger, A. and Lepski, O. (2022). Minimax estimation of norms of a probability density: I. Lower bounds. Bernoulli 28, 1120-1154.
Goldenshluger, A. and Zeevi, A. (2022). Optimal stopping of a random sequence with unknown distribution. Mathematics of Operations Research 47, 29-49.
Goldenshluger, A. and Kim, T. (2021). Density deconvolution with non–standard error distributions: Rates of convergence and adaptive estimation. Electron. J. Statist. 15, 3394-3427.
Belomestny, D. and Goldenshluger, A. (2021). Density deconvolution under general assumptions on the distribution of measurement errors. Ann. Statist. 49, 615-649.
Goldenshluger, A., Malinovsky, Y. and Zeevi, A. (2020). A unified approach for solving sequential selection problems. Probability Surveys 17, 214-256.
Belomestny, D. and Goldenshluger, A. (2020). Nonparametric density estimation from observations with multiplicative measurement errors. Ann. Inst. Henri Poincaré Probab. Stat. 56, 36-67.
Goldenshluger, A. and Koops, D. T. (2019). Nonparametric estimation of service time characteristics in infinite-server queues with nonstationary Poisson input. Stochastic Systems 9, 183-207.
Goldenshluger, A. (2018). The M/G/∞ estimation problem revisited. Bernoulli 24, 2531-2568.
Goldenshluger, A. and Mirkin, L. (2017). On minimum-variance event-triggered control. IEEE Control Systems Letters 1, 32-37.
Goldenshluger, A. (2016). Nonparametric estimation of the service time distribution in the M/G/∞ queue. Adv. Appl. Probab. 48, 1117-1138.
Goldenshluger, A., Juditsky, A. and Nemirovski, A. (2015). Hypotheses testing by convex optimization. With discussion and rejoinder. Electron. J. Statist. 9, 1645-1712.
Goldenshluger, A. and Lepski, O. (2014). On adaptive minimax density estimation on Rd. Probab. Theory Related Fields 159, 479-543.
Goldenshluger A. and Lepski, O. (2013). General selection rule from a family of linear estimators. Theory Probab. Appl. 57, 209-226.
Goldenshluger, A. and Zeevi, A. (2013). A linear response bandit problem. Stochastic Systems 3, 231-262.
Dattner, I., Goldenshluger, A. and Juditsky, A. (2011). On deconvolution of distribution functions. Ann. Statist. 39, 2477-2501.
Goldenshluger, A. and Lepski, O. (2011). Bandwidth selection in kernel density estimation: oracle inequalities and adaptive minimax optimality. Ann. Statist. 39, 1608-1632.
Goldenshluger, A. and Lepski, O. (2011). Uniform bounds for norms of sums of independent random functions. Ann. Probab. 39, 2318-2384.
Goldenshluger, A. and Zeevi, A. (2011). A note on performance limitation in bandit problems with side observations. IEEE Trans. Information Theory 57, 1707--1713.
Goldenshluger, A. and Zeevi, A. (2009). Woodroofe's one-armed bandit problem revisited. Ann. Appl. Probab. 19, 1603-1633.
Goldenshluger, A. (2009). A universal procedure for aggregating estimators. Ann. Statist. 37, 542-568.
Goldenshluger, A. and Lepski, O. (2009). Structural adaptation via Lp-norm oracle inequalities. Probab. Theory and Related Fields 143, 41-71.
Goldenshluger, A. and Lepski, O. (2008). Universal pointwise selection rule in multivariate function estimation. Bernoulli 14, 1150-1190.
Goldenshluger, A., Juditsky, A., Tsybakov, A. and Zeevi, A. (2008). Change-point estimation from indirect observations. 2. Adaptation. Ann. Inst. H. Poincare Probab. Stat. 44, 819-836.
Goldenshluger, A., Juditsky, A., Tsybakov, A. and Zeevi, A. (2008). Change-point estimation from indirect observations. 1. Minimax complexity. Ann. Inst. H. Poincare Probab. Stat. 44, 787-818.
Goldenshluger, A., Tsybakov, A. and Zeevi, A. (2006). Optimal change-point estimation from indirect observations. Ann. Statist. 34, 350-372.
Goldenshluger, A. and Spokoiny, V. (2006). Recovering convex edges of an image from noisy tomographic data. IEEE Trans. Information Theory 52, 1322-1334.
Goldenshluger, A. and Spokoiny, V. (2004). On the shape-from-moments problem and recovering edges from noisy Radon data. Probab. Theory and Related Fields 128, 123-140.
Goldenshluger, A. and Zeevi, A. (2004). The Hough transform estimator. Ann. Statist. 32, 1908-1932
Goldenshluger, A. and Pereverzev, S. (2003). On adaptive inverse estimation of linear functionals in Hilbert scales. Bernoulli 9, 783-807
Goldenshluger, A. and Tsybakov, A. (2003). Optimal prediction for linear regression with infinitely many parameters. J. Multivariate Anal. 84, 40-60.
Goldenshluger, A. (2002). Density deconvolution in the circular structural model. J. Multivariate Anal. 81, 350-375.
Goldenshluger, A. and Tsybakov, A. (2001). Adaptive prediction and estimation in linear regression with infinitely many parameters. Ann. Statist. 29, 1601-1619.
Goldenshluger, A. and Pereverzev, S. (2000). Adaptive estimation of linear functionals in Hilbert scales from indirect white noise observations. Probab. Theory and Related Fields 118, 169-186.
Goldenshluger, A. and Faraggi, D. (2000). Nonparameteric estimation of weighted proportions with application to particle size measurement. Biometrika 87, 157-171.
Goldenshluger, A. (1999). On pointwise adaptive nonparametric deconvolution. Bernoulli 5, 907-925.
Goldenshluger, A. (1998). Nonparametric estimation of transfer functions: rates of convergence and adaptation. IEEE Trans. Information Theory 44, 644-658.
Goldenshluger, A. and Nemirovski, A. (1997). Adaptive de-noising of signals satisfying differential inequalities. IEEE Trans. Information Theory 43, 872-889.
Goldenshluger, A. and Nemirovski, A. (1997). On spatially adaptive estimation of nonparametric regression. Math. Methods Statist. 6, 135-170.
Goldenshluger, A. and Polyak, B. (1993). Estimation of regression parameters with arbitrary noise. Math. Methods Statist. 2, 18-29.