Ya'acov Ritov
Ya'acov Ritov
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Efficient and adaptive estimation for semiparametric models
PJ Bickel, CAJ Klaassen, PJ Bickel, Y Ritov, J Klaassen, JA Wellner, ...
Johns Hopkins University Press, 1993
Simultaneous analysis of Lasso and Dantzig selector
PJ Bickel, Y Ritov, AB Tsybakov
On asymptotically optimal confidence regions and tests for high-dimensional models
S Van de Geer, P Bühlmann, Y Ritov, R Dezeure
Toward a curse of dimensionality appropriate (CODA) asymptotic theory for semi‐parametric models
JM Robins, Y Ritov
Statistics in medicine 16 (3), 285-319, 1997
Estimation in a linear regression model with censored data
Y Ritov
The Annals of Statistics, 303-328, 1990
Asymptotic normality of the maximum-likelihood estimator for general hidden Markov models
PJ Bickel, Y Ritov, T Ryden
The Annals of Statistics 26 (4), 1614-1635, 1998
Persistence in high-dimensional linear predictor selection and the virtue of overparametrization
E Greenshtein, YA Ritov
Bernoulli 10 (6), 971-988, 2004
Estimating integrated squared density derivatives: sharp best order of convergence estimates
PJ Bickel, Y Ritov
Sankhyā: The Indian Journal of Statistics, Series A, 381-393, 1988
Decision theoretic optimality of the CUSUM procedure
Y Ritov
The Annals of Statistics, 1464-1469, 1990
Tracking many objects with many sensors
H Pasula, S Russell, M Ostland, Y Ritov
IJCAI 99, 1160-1171, 1999
Accurate estimation of travel times from single-loop detectors
KF Petty, P Bickel, M Ostland, J Rice, F Schoenberg, J Jiang, Y Ritov
Transportation Research Part A: Policy and Practice 32 (1), 1-17, 1998
Monotone estimating equations for censored data
M Fygenson, Y Ritov
The Annals of Statistics, 732-746, 1994
Traffic flow prediction using adaboost algorithm with random forests as a weak learner
G Leshem, Y Ritov
International Journal of Mathematical and Computational Sciences 1 (1), 1-6, 2007
Acetylcholinesterase/paraoxonase genotype and expression predict anxiety scores in Health, Risk Factors, Exercise Training, and Genetics study
EH Sklan, A Lowenthal, M Korner, Y Ritov, DM Landers, T Rankinen, ...
Proceedings of the National Academy of Sciences 101 (15), 5512-5517, 2004
Efficient estimation in the errors in variables model
PJ Bickel, Y Ritov
The Annals of Statistics 15 (2), 513-540, 1987
Achieving information bounds in non and semiparametric models
Y Ritov, PJ Bickel
The Annals of statistics 18 (2), 925-938, 1990
Inference in hidden Markov models I: Local asymptotic normality in the stationary case
PJ Bickel, Y Ritov
Bernoulli 2 (3), 199-228, 1996
Failure in identification of overlapping spikes from multiple neuron activity causes artificial correlations
I Bar-Gad, Y Ritov, E Vaadia, H Bergman
Journal of neuroscience methods 107 (1-2), 1-13, 2001
Functional correlations between neighboring neurons in the primate globus pallidus are weak or nonexistent
I Bar-Gad, G Heimer, Y Ritov, H Bergman
Journal of Neuroscience 23 (10), 4012-4016, 2003
Manifold learning: The price of normalization.
Y Goldberg, A Zakai, D Kushnir, Y Ritov
Journal of Machine Learning Research 9 (8), 2008
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