World's Best Scientists 2026 revealed!

Overview

Ya'acov Ritov is affiliated with the University of Michigan-Ann Arbor in the United States. Their research primarily falls within the field of Mathematics, with a focus on Statistics and Probability. Their work spans several subfields including Artificial Intelligence, Economics and Econometrics, and Public Health, Environmental and Occupational Health.

The scientist's research topics notably cover Statistical Methods and Inference, Statistical Methods and Bayesian Inference, and Bayesian Methods and Mixture Models. Additional areas of study include Advanced Statistical Process Monitoring, Advanced Causal Inference Techniques, Statistical Methods in Clinical Trials, and Health Systems, Economic Evaluations, and Quality of Life.

Ya'acov Ritov has contributed to numerous academic papers published in various venues. Some of the recent papers include:

  • "Self-reporting and screening: Data with right-censored, left-censored, and complete observations," 2022, Statistics in Medicine
  • "A novel methodology to measure waiting times for community-based specialist care in a public healthcare system," 2020, Health Policy
  • "Robust estimation of mixing measures in finite mixture models," 2020, Bernoulli
  • "Optimal linear discriminators for the discrete choice model in growing dimensions," 2021, The Annals of Statistics
  • "Inference and Estimation for Random Effects in High-Dimensional Linear Mixed Models," 2021, Journal of the American Statistical Association

Their frequent publication venues include:

  • arXiv (Cornell University)
  • Bernoulli
  • Electronic Journal of Statistics
  • Statistics in Medicine
  • The Annals of Statistics

Ya'acov Ritov also collaborates regularly with several co-authors, including Debarghya Mukherjee, Moulinath Banerjee, Michael Law, and Eitan Greenshtein, among others.

Best Publications

  • SIMULTANEOUS ANALYSIS OF LASSO AND DANTZIG SELECTOR

    Peter J. Bickel;Ya' Acov Ritov;Alexandre B. Tsybakov

  • Efficient and Adaptive Estimation for Semiparametric Models.

    K. A. Do;P. J. Bickel;C. A. J. Klaassen;Y. Ritov

  • On asymptotically optimal confidence regions and tests for high-dimensional models

    Sara van de Geer;Peter Bühlmann;Ya’acov Ritov;Ruben Dezeure

  • Estimation in a Linear Regression Model with Censored Data

    Y. Ritov

  • TOWARD A CURSE OF DIMENSIONALITY APPROPRIATE (CODA) ASYMPTOTIC THEORY FOR SEMI‐PARAMETRIC MODELS

    James M. Robins;Ya'acov Ritov

  • Persistence in high-dimensional linear predictor selection and the virtue of overparametrization

    Eitan Greenshtein;Ya'Acov Ritov

  • Asymptotic normality of the maximum-likelihood estimator for general hidden Markov models

    Peter J. Bickel;Ya’acov Ritov;Tobias Rydén

  • Decision Theoretic Optimality of the Cusum Procedure

    Y. Ritov

  • Tracking many objects with many sensors

    Hanna Pasula;Stuart J. Russell;Michael Ostland;Yaacov Ritov

  • ACCURATE ESTIMATION OF TRAVEL TIMES FROM SINGLE-LOOP DETECTORS

    Karl F. Petty;Peter Bickel;Michael Ostland;John Rice

  • Monotone Estimating Equations for Censored Data

    Mendel Fygenson;Ya'acov Ritov

  • Efficient Estimation in the Errors in Variables Model

    P. J. Bickel;Y. Ritov

  • Achieving Information Bounds in Non and Semiparametric Models

    Y. Ritov;P. J. Bickel

  • Inference in hidden Markov models I: Local asymptotic normality in the stationary case

    Peter J. Bickel;Ya'acov Ritov

  • Manifold Learning: The Price of Normalization

    Yair Goldberg;Alon Zakai;Dan Kushnir;Ya'acov Ritov

  • Departures from optimal stopping in an anagram task

    Jonathan Baron;Peter C. Badgio;Yaacov Ritov

  • Nonparametric estimators which can be "plugged-in"

    Peter J. Bickel;Ya'acov Ritov

  • Tailor-made tests for goodness of fit to semiparametric hypotheses

    Peter J. Bickel;Ya ' acov Ritov;Thomas M. Stoker

  • Some Theory for Generalized Boosting Algorithms

    Peter J. Bickel;Ya'acov Ritov;Alon Zakai

  • Foundations of Statistical Inference

    Yoel Haitovsky;Yaacov Ritov;Hans Rudolf Lerche

Frequent Co-Authors

Peter J. Bickel
Peter J. Bickel University of California, Berkeley
Hagai Bergman
Hagai Bergman Hebrew University of Jerusalem
Wolfgang Karl Härdle
Wolfgang Karl Härdle Humboldt-Universität zu Berlin
Izhar Bar-Gad
Izhar Bar-Gad Bar-Ilan University
Hermona Soreq
Hermona Soreq Hebrew University of Jerusalem
Avishai Mandelbaum
Avishai Mandelbaum Technion – Israel Institute of Technology
Jon A. Wellner
Jon A. Wellner University of Washington
Gur Mosheiov
Gur Mosheiov Hebrew University of Jerusalem
Lawrence D. Brown
Lawrence D. Brown Cornell University

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