¡@ Most Accessed Papers over the last 90 days
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Top 10 articles are determined based on the records of paper accesses over the last 90 days.

  1. Pseudo-$R^2$ in logistic regression model
    Bo Hu, Jun Shao and Mari Palta
    Vol. 16, No. 3, pp 847-860 (Year 2006)
  2. Asymptotics of sample eigenstructure for a large dimensional spiked covariance model
    Debashis Paul
    Vol. 17, No. 4, pp 1617-1642 (Year 2007)
  3. MODEL SELECTION FOR GAUSSIAN MIXTURE MODELS
    Tao Huang, Heng Peng and Kun Zhang
    Vol. 27, No. 1, pp pan class="font-sb">27 (Year 2017)
  4. Inference for semiparametric models: some questions and an answer
    Peter J. Bickel and Jaimyoung Kwon
    Vol. 11, No. 4, pp 863-960 (Year 2001)
  5. Modeling covariance matrices in terms of standard deviations and correlations, with application to shrinkage
    John Barnard, Robert McCulloch and Xiao-Li Meng
    Vol. 10, No. 4, pp 1281-1311 (Year 2000)
  6. Joint modeling of longitudinal and time-to-event data: an overview
    Anastasios A. Tsiatis and Marie Davidian
    Vol. 14, No. 3, pp 809-834 (Year 2004)
  7. Large sample covariance matrices without independence structures in columns
    Zhidong Bai and Wang Zhou
    Vol. 18, No. 2, pp 425-442 (Year 2008)
  8. DEEPKRIGING: SPATIALLY DEPENDENT DEEP NEURAL NETWORKS FOR SPATIAL PREDICTION
    Wanfang Chen, Yuxiao Li, Brian J. Reich and Ying Sun
    Vol. 34, No. 1, pp pan class="font-sb"> 34 (Year 2024)
  9. A circular--circular regression model
    Shogo Kato, Kunio Shimizu and Grace S. Shieh
    Vol. 18, No. 2, pp 633-645 (Year 2008)
  10. Statistical applications of the Poisson-Binomial and conditional Bernoulli distributions
    Chen, S. X. and Liu, J. S.
    Vol. 7, No. 4, pp 875-892 (Year 1997)
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