אלכסנדר גולדנשלוגר - הפקולטה למדעי הטבע

אודות▼

Nonparametric statistical inference, adaptive estimation, model/estimator selection, inverse problems, stochastic optimization, machine learning.

פרסומים▼

Optimal single-threshold stopping rules and sharp prophet inequalities, Goldenshluger, A., Malinovsky, Y. & Zeevi, A., 2026, (Accepted/In press) In: Journal of Applied Probability.
NONPARAMETRIC ESTIMATION OF THE SERVICE TIME DISTRIBUTION IN THE M/G/∞ QUEUE, Goldenshluger, A., 2025, In: Annals of Applied Probability. 48, 4, p. 1117-1138 22 p.
Adaptive minimax estimation of service time distribution in the Mt/G/∞ queue from departure data, Li, W. & Goldenshluger, A., Oct 2024, In: Queueing Systems. 108, 1, p. 81-123 43 p.
SMOLUCHOWSKI PROCESSES AND NONPARAMETRIC ESTIMATION OF FUNCTIONALS OF PARTICLE DISPLACEMENT DISTRIBUTIONS FROM COUNT DATA, Goldenshluger, A. & Jacobovic, R., Feb 2024, In: Annals of Applied Probability. 34, 1, p. 1224-1270 47 p.
Statistical Inference in Circular Structural Model and Fitting Circles to Noisy Data, Donner, A. & Goldenshluger, A., 2024, In: Journal of Computational and Graphical Statistics. 33, 4, p. 1350-1369 20 p.
Minimax estimation of norms of a probability density: II. Rate-optimal estimation procedures, Goldenshluger, A. & Lepski, O. V., May 2022, In: Bernoulli. 28, 2, p. 1155-1178 24 p.
Minimax estimation of norms of a probability density: I. Lower bounds, Goldenshluger, A. & Lepski, O. V., May 2022, In: Bernoulli. 28, 2, p. 1120-1154 35 p.
Optimal Stopping of a Random Sequence with Unknown Distribution, Goldenshluger, A. & Zeevi, A., Feb 2022, In: Mathematics of Operations Research. 47, 1, p. 29-49 21 p.
Density deconvolution with non-standard error distributions: Rates of convergence and adaptive estimation, Goldenshluger, A. & Kim, T., 2021, In: Electronic Journal of Statistics. 15, 1, p. 3394-3427 34 p.
Density deconvolution under general assumptions on the distribution of measurement errors, Belomestny, D. & Goldenshluger, A., 2021, In: Annals of Statistics. 49, 2, p. 615-649 35 p.
A unified approach for solving sequential selection problems, Goldenshluger, A., Malinovsky, Y. & Zeevi, A., 2020, In: Probability Surveys. 70, p. 214-256 43 p.
Nonparametric density estimation from observations with multiplicative measurement errors, Belomestny, D. & Goldenshluger, A., 2020, In: Annales de l'institut Henri Poincare (B) Probability and Statistics. 56, 1, p. 36-37 2 p.
Nonparametric Estimation of Service Time Characteristics in Infinite-Server Queues with Nonstationary Poisson Input, Goldenshluger, A. & Koops, D. T., Sep 2019, In: Stochastic Systems. 9, 3, p. 183-207 25 p.
H2 Control under Intermittent Sampling and Small Communication Delays, Goldenshluger, A. & Mirkin, L., Jul 2019, In: IEEE Control Systems Letters. 3, 3, p. 583-588 6 p., 8701456.
The M/G/∞ estimation problem revisited, Goldenshluger, A., Nov 2018, In: Bernoulli. 24, 4A, p. 2429-2460 32 p.
On minimum-variance event-triggered control, Goldenshluger, A. & Mirkin, L., 2017, In: IEEE Control Systems Letters. 1, 1, p. 32-37 6 p.
Hypothesis testing by convex optimization, Goldenshluger, A., Juditsky, A. & Nemirovski, A., 19 Aug 2015, In: Electronic Journal of Statistics. 9, 2, p. 1645-1712 68 p.
On adaptive minimax density estimation on Rd, Goldenshluger, A., Aug 2014, In: Probability Theory and Related Fields. 159, 3-4, p. 479-543 65 p.
Novel switch detection algorithm in logic–based guidance, Turetsky, V., Shinar, J. & Goldenshluger, A., 2014, Proceedings of the 2014 Joint Statistical Meetings (JSM 2014). p. 505-517
A Linear Response Bandit Problem, Goldenshluger, A. & Zeevi, A., 2013, In: Stochastic Systems. 3, 1, p. 230-261 32 p.
General selection rule from a family of linear estimators, Goldenshluger, A. V. & Lepski, O. V., 2013, In: Theory of Probability and its Applications. 57, 2, p. 209-226 18 p.
On deconvolution of distribution functions, Dattner, I., Goldenshluger, A. & Juditsky, A., Oct 2011, In: Annals of Statistics. 39, 5, p. 2477-2501 25 p.
A note on performance limitations in bandit problems with side information, Goldenshluger, A. & Zeevi, A., Mar 2011, In: IEEE Transactions on Information Theory. 57, 3, p. 1707-1713 7 p., 5714284.
Woodroofe's one-armed bandit problem revisited, Goldenshluger, A. & Zeevi, A., Aug 2009, In: Annals of Applied Probability. 19, 4, p. 1603-1633 31 p.
A universal procedure for aggregating estimators, Goldenshluger, A., Feb 2009, In: Annals of Statistics. 37, 1, p. 542-568 27 p.
Structural adaptation via double-struck Lp-norm oracle inequalities, Goldenshluger, A. & Lepski, O., Jan 2009, In: Probability Theory and Related Fields. 143, 1-2, p. 41-71 31 p.
Change-point estimation from indirect observations. 2. Adaptation, Goldenshluger, A., Juditsky, A., Tsybakov, A. & Zeevi, A., Oct 2008, In: Annales de l'institut Henri Poincare (B) Probability and Statistics. 44, 5, p. 819-836 18 p.
Change-point estimation from indirect observations. 1. Minimax complexity, Goldenshluger, A., Juditsky, A., Tsybakov, A. B. & Zeevi, A., Oct 2008, In: Annales de l'institut Henri Poincare (B) Probability and Statistics. 44, 5, p. 787-818 32 p.
Recovering convex boundaries from blurred and noisy observations, Goldenshluger, A. & Zeevi, A., Jun 2006, In: Annals of Statistics. 34, 3, p. 1375-1394 20 p.
Recovering convex edges of an image from noisy tomographic data, Goldenshluger, A. & Spokoiny, V., Apr 2006, In: IEEE Transactions on Information Theory. 52, 4, p. 1322-1334 13 p.
Optimal change-point estimation from indirect observations, Goldenshluger, A., Tsybakov, A. & Zeevi, A., Feb 2006, In: Annals of Statistics. 34, 1, p. 350-372 23 p.
The Hough transform estimator, Goldenshluger, A. & Zeevi, A., Oct 2004, In: Annals of Statistics. 32, 5, p. 1908-1932 25 p.
Estimating the endpoint of a distribution in the presence of additive observation errors, Goldenshluger, A. & Tsybakov, A., 1 Jun 2004, In: Statistics and Probability Letters. 68, 1, p. 39-49 11 p.
Fitting a line segment to noisy data, Davidov, O. & Goldenshluger, A., 15 Jan 2004, In: Journal of Statistical Planning and Inference. 119, 1, p. 191-206 16 p.
On the shape-from-moments problem and recovering edges from noisy Radon data, Goldenshluger, A. & Spokoiny, V., Jan 2004, In: Probability Theory and Related Fields. 128, 1, p. 123-140 18 p.
On adaptive inverse estimation of linear functional in Hilbert scales, Goldenshluger, A. & Pereverzev, S. V., Oct 2003, In: Bernoulli. 9, 5, p. 783-807 25 p.
Optimal prediction for linear regression with infinitely many parameters, Goldenshluger, A. & Tsybakov, A., Jan 2003, In: Journal of Multivariate Analysis. 84, 1, p. 40-60 21 p.
On the Structural Line Segment Model, Davidov, O., Goldenshluger, A. & Reidman, R., 2002, Total Least Squares and Errors-in-Variables Modeling: Analysis, Algorithms and Applications. Van Huffel, S. & Lemmerling, P. (eds.). Dordrecht: Springer, p. 251-260 10 p.
Modeling pulmonary and CNS O2 toxicity and estimation of parameters for humans, Arieli, R., Yalovand, A. & Goldenshluger, A., 2002, In: Journal of Applied Physiology. 92, 1, p. 248-256 9 p.
Density deconvolution in the circular structural model, Goldenshluger, A., 2002, In: Journal of Multivariate Analysis. 81, 2, p. 360-375 16 p.
Adaptive prediction and estimation in linear regression with infinitely many parameters, Goldenshluger, A. & Tsybakov, A., Dec 2001, In: Annals of Statistics. 29, 6, p. 1601-1619 19 p.
Nonasymptotic bounds for autoregressive time series modeling, Goldenshluger, A. & Zeevi, A., Apr 2001, In: Annals of Statistics. 29, 2, p. 417-444 28 p.
Nonparametric estimation of weighted proportions with application to particle size measurement, Goldenshluger, A. & Faraggi, D., 2000, In: Biometrika. 87, 1, p. 157-171 15 p.
On pointwise adaptive nonparametric deconvolution, Goldenshluger, A., 1999, In: Bernoulli. 5, 5, p. 907-925 19 p.
Nonparametric estimation of transfer functions: Rates of convergence and adaptation, Goldenshluger, A., 1998, In: IEEE Transactions on Information Theory. 44, 2, p. 644-658 15 p.
Non-asymptotic bounds for autoregressive approximation, Goldenshluger, A. & Zeevi, A., 1998, Proceedings - 1998 IEEE International Symposium on Information Theory, ISIT 1998. Institute of Electrical and Electronics Engineers Inc., p. 304 1 p. 708909. (IEEE International Symposium on Information Theory - Proceedings).
Adaptive de-noising of signals satisfying differential inequalities, Goldenshluger, A. & Nemirovski, A., 1997, In: IEEE Transactions on Information Theory. 43, 3, p. 872-889 18 p.
On Spatial Adaptive Estimation of Nonparametric Regression, Goldenshluger, A. & Nemirovski, A., 1 Jan 1997, In: Mathematical Methods of Statistics. 6, 2, p. 1-35 35 p.
Estimation of regression parameters with arbitrary noise, Goldenshluger, A., Jan 1993, In: Mathematical Methods of Statistics. 2, p. 18-29 12 p.
Parameter estimation under random and bounded noises, Goldenshluger, A. & Nazin, A., 1992, In: Automation and Remote Control. 53, 10, p. 1536-1542 7 p.

הפקולטה למדעי הטבע

אוניברסיטת חיפה

פרופ' אלכסנדר גולדנשלוגר

אודות▼

פרסומים▼