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Research Interests

  • Structured Signal Detection and Identification
  • Inference of Nonparametric Functionals
  • Quasi-Monte Carlo Methods

    • Publications

  • Hypothesis Testing for High-Dimensional Sparse Binary Regression, 2015 (Journal)
    Rajarshi Mukherjee, Natesh Pillai, and Xihong Lin
    The Annals of Statistics, 43(1), pp 352-381

  • The Generalized Higher Criticism for Testing SNP-sets in Genetic Association Testing, 2016 (Journal)
    Ian Barnett, Rajarshi Mukherjee, and Xihong Lin
    Journal of American Statistical Association, Applications and Case Studies

  • Optimal Adaptive Inference in Random Design Binary Regression, 2016 (Arxiv)
    Rajarshi Mukherjee and Subhabrata Sen
    Bernoulli (To Appear)

  • Asymptotic Normality of Scrambled Geometric Net Quadrature , 2016 (Arxiv)
    Kinjal Basu and Rajarshi Mukherjee
    The Annals of Statistics (To Appear)

  • Higher Order Estimating Equations for High-dimensional Models, 2016 (Arxiv)
    James M. Robins, Linglin Li, Rajarshi Mukherjee, Eric Tchetgen Tchetgen, and Aad van der Vaart
    The Annals of Statistics (To Appear)

  • Detection Thresholds for the β-Model on Sparse Graphs, 2016 (Arxiv)
    Rajarshi Mukherjee, Sumit Mukherjee, and Subhabrata Sen
    The Annals of Statistics (To Appear)

  • Global Testing against Sparse Alternatives under Ising Models, 2016 (Arxiv)
    Rajarshi Mukherjee, Sumit Mukherjee, and Ming Yuan
    The Annals of Statistics (To Appear)

    • Manuscripts and Preprints

  • On Estimation of Lr norms in Gaussian White Noise Models. , 2017 (Arxiv)
    Yanjun Han, Jiantao Jiao, Rajarshi Mukherjee, and Tsachy Weissman

  • Testing Degree Corrections in Stochastic Block Models, 2017 (Arxiv)
    Rajarshi Mukherjee and Subhabrata Sen

  • Semiparametric Efficient Empirical Higher Order Influence Function Estimators, 2017 (Arxiv)
    Rajarshi Mukherjee, Whitney K. Newey, and James M. Robins

  • On Adaptive Estimation of Nonparametric Functionals, 2016 (Arxiv)
    Rajarshi Mukherjee, Eric Tchetgen Tchetgen, and James M. Robins

  • Lepski's Method and Adaptive Estimation of Nonlinear Integral Functionals of Density, 2015 (Arxiv)
    Rajarshi Mukherjee, Eric Tchetgen Tchetgen, and James M. Robins

  • Hypothesis Testing Using Penalized Likelihoods for High-Dimensional Data, 2014 (Manuscript)
    Rajarshi Mukherjee, Xihong Lin, and Raymond J. Carroll

    • In Preparation

  • Structured Signal Detection in Ising Models.
    Rajarshi Mukherjee, Sumit Mukherjee, and Ming Yuan

  • Minimax rates of Testing in Gaussian Sequence Models.
    Rajarshi Mukherjee, Sumit Mukherjee, and Subhabrata Sen


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