References in zbMATH (referenced in 59 articles , 1 standard article )

Showing results 1 to 20 of 59.
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  1. Baxendale, Peter; Wong, Ting-Kam Leonard: Random concave functions (2022)
  2. Dümbgen, Lutz; Mösching, Alexandre; Strähl, Christof: Active set algorithms for estimating shape-constrained density ratios (2021)
  3. Foygel Barber, Rina; Samworth, Richard J.: Local continuity of log-concave projection, with applications to estimation under model misspecification (2021)
  4. Kim, Junsik; Loh, Ji Meng; Jang, Woncheol: Generalized bagging (2021)
  5. Nelson, Barry L.; Wan, Alan T. K.; Zou, Guohua; Zhang, Xinyu; Jiang, Xi: Reducing simulation input-model risk via input model averaging (2021)
  6. Qin, Jing; Deng, Geng; Ning, Jing; Yuan, Ao; Shen, Yu: Estrogen receptor expression on breast cancer patients’ survival under shape-restricted Cox regression model (2021)
  7. Xu, Min; Samworth, Richard J.: High-dimensional nonparametric density estimation via symmetry and shape constraints (2021)
  8. Balabdaoui, Fadoua; Kulagina, Yulia: Completely monotone distributions: mixing, approximation and estimation of number of species (2020)
  9. Doss, Charles R.: Bracketing numbers of convex and (m)-monotone functions on polytopes (2020)
  10. Ferraccioli, Federico; Sangalli, Laura M.; Arnone, Eleonora; Finos, Livio: A functional data analysis approach to the estimation of densities over complex regions (2020)
  11. Hütter, Jan-Christian; Mao, Cheng; Rigollet, Philippe; Robeva, Elina: Optimal rates for estimation of two-dimensional totally positive distributions (2020)
  12. Jeong, Seok-Oh; Choi, Dongseok; Jang, Woncheol: A semiparametric mixture method for local false discovery rate estimation from multiple studies (2020)
  13. Kim, Arlene K. H.: Obtaining minimax lower bounds: a review (2020)
  14. Lim, Eunji: The limiting behavior of isotonic and convex regression estimators when the model is misspecified (2020)
  15. Mariucci, Ester; Ray, Kolyan; Szabó, Botond: A Bayesian nonparametric approach to log-concave density estimation (2020)
  16. Olosunde, A. A.: On the log-concavity density function: a case of exponential power distribution and its application (2020)
  17. Royset, Johannes O.: Approximations of semicontinuous functions with applications to stochastic optimization and statistical estimation (2020)
  18. Royset, Johannes O.; Wets, Roger J-B.: Variational analysis of constrained M-estimators (2020)
  19. Chu, Lynna; Chen, Hao: Asymptotic distribution-free change-point detection for multivariate and non-Euclidean data (2019)
  20. Doss, Charles R.; Wellner, Jon A.: Univariate log-concave density estimation with symmetry or modal constraints (2019)

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