LogConcDEAD

R package LogConcDEAD: Log-concave Density Estimation in Arbitrary Dimensions. Computes a log-concave (maximum likelihood) estimator for i.i.d. data in any number of dimensions.

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References in zbMATH (referenced in 42 articles , 1 standard article )

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  1. Mariucci, Ester; Ray, Kolyan; Szabó, Botond: A Bayesian nonparametric approach to log-concave density estimation (2020)
  2. Chu, Lynna; Chen, Hao: Asymptotic distribution-free change-point detection for multivariate and non-Euclidean data (2019)
  3. Doss, Charles R.; Wellner, Jon A.: Univariate log-concave density estimation with symmetry or modal constraints (2019)
  4. Doss, Charles R.; Wellner, Jon A.: Inference for the mode of a log-concave density (2019)
  5. Mazumder, Rahul; Choudhury, Arkopal; Iyengar, Garud; Sen, Bodhisattva: A computational framework for multivariate convex regression and its variants (2019)
  6. Rathke, Fabian; Schnörr, Christoph: Fast multivariate log-concave density estimation (2019)
  7. Ren, Zhao; Kang, Yongjian; Fan, Yingying; Lv, Jinchi: Tuning-free heterogeneous inference in massive networks (2019)
  8. Robeva, Elina; Sturmfels, Bernd; Uhler, Caroline: Geometry of log-concave density estimation (2019)
  9. Groeneboom, Piet; Jongbloed, Geurt: Some developments in the theory of shape constrained inference (2018)
  10. Kim, Arlene K. H.; Guntuboyina, Adityanand; Samworth, Richard J.: Adaptation in log-concave density estimation (2018)
  11. Royset, Johannes O.; Wets, Roger J.-B.: On univariate function identification problems (2018)
  12. Samworth, Richard J.: Recent progress in log-concave density estimation (2018)
  13. Samworth, Richard J. (ed.); Sen, Bodhisattva (ed.): Editorial: Special issue on “Nonparametric inference under shape constraints” (2018)
  14. Wang, Tengyao; Samworth, Richard J.: High dimensional change point estimation via sparse projection (2018)
  15. Hu, Hao; Yao, Weixin; Wu, Yichao: The robust EM-type algorithms for log-concave mixtures of regression models (2017)
  16. Doss, Charles R.; Wellner, Jon A.: Global rates of convergence of the MLEs of log-concave and (s)-concave densities (2016)
  17. Han, Qiyang; Wellner, Jon A.: Approximation and estimation of (s)-concave densities via Rényi divergences (2016)
  18. Hu, Hao; Wu, Yichao; Yao, Weixin: Maximum likelihood estimation of the mixture of log-concave densities (2016)
  19. Chen, Yining: Semiparametric time series models with log-concave innovations: maximum likelihood estimation and its consistency (2015)
  20. Guntuboyina, Adityanand; Sen, Bodhisattva: Global risk bounds and adaptation in univariate convex regression (2015)

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