Minimax Rates

Minimax Rates is a theoretical construct in nonparametric econometrics that represents the optimal rate of convergence for the worst-case risk over a function class, distinguishing itself by balancing the trade-off between estimation error and model complexity under minimal assumptions on the underlying data-generating process.

473

Publications

33.6K

Citations

536

Authors

284

Institutions

Publications per year

2017–2026

144

Authors

536

  1. TC
    Tommaso Cai

    University of Pennsylvania, United States

    21 publications · 2.3K citations

    17

    h-index

  2. MJ
    Martin J. Wainwright

    University of California, Berkeley, United States

    21 publications · 4K citations

    16

    h-index

  3. HH
    Harrison H. Zhou

    Yale University, United States

    13 publications · 1.1K citations

    13

    h-index

  4. JC
    John C. Duchi

    Stanford University, United States

    12 publications · 2.4K citations

    12

    h-index

  5. JJ
    Jiantao Jiao

    Stanford University, United States

    10 publications · 218 citations

    10

    h-index

1–5 of 536

Venues

  1. The Annals of Statistics

    127 publications · 12.5K citations

    55

    h-index

  2. arXiv (Cornell University)

    Repository · 82 publications · 3.3K citations

    31

    h-index

  3. IEEE Transactions on Information Theory

    33 publications · 3.2K citations

    25

    h-index

  4. Bernoulli

    24 publications · 1.4K citations

    20

    h-index

  5. Electronic Journal of Statistics

    26 publications · 932 citations

    16

    h-index

1–5