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 49 articles , 1 standard article )

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  1. Balabdaoui, Fadoua; Kulagina, Yulia: Completely monotone distributions: mixing, approximation and estimation of number of species (2020)
  2. Doss, Charles R.: Bracketing numbers of convex and (m)-monotone functions on polytopes (2020)
  3. Ferraccioli, Federico; Sangalli, Laura M.; Arnone, Eleonora; Finos, Livio: A functional data analysis approach to the estimation of densities over complex regions (2020)
  4. Hütter, Jan-Christian; Mao, Cheng; Rigollet, Philippe; Robeva, Elina: Optimal rates for estimation of two-dimensional totally positive distributions (2020)
  5. Lim, Eunji: The limiting behavior of isotonic and convex regression estimators when the model is misspecified (2020)
  6. Mariucci, Ester; Ray, Kolyan; Szabó, Botond: A Bayesian nonparametric approach to log-concave density estimation (2020)
  7. Royset, Johannes O.: Approximations of semicontinuous functions with applications to stochastic optimization and statistical estimation (2020)
  8. Royset, Johannes O.; Wets, Roger J-B.: Variational analysis of constrained m-estimators (2020)
  9. Chu, Lynna; Chen, Hao: Asymptotic distribution-free change-point detection for multivariate and non-Euclidean data (2019)
  10. Doss, Charles R.; Wellner, Jon A.: Univariate log-concave density estimation with symmetry or modal constraints (2019)
  11. Doss, Charles R.; Wellner, Jon A.: Inference for the mode of a log-concave density (2019)
  12. Mazumder, Rahul; Choudhury, Arkopal; Iyengar, Garud; Sen, Bodhisattva: A computational framework for multivariate convex regression and its variants (2019)
  13. Rathke, Fabian; Schnörr, Christoph: Fast multivariate log-concave density estimation (2019)
  14. Ren, Zhao; Kang, Yongjian; Fan, Yingying; Lv, Jinchi: Tuning-free heterogeneous inference in massive networks (2019)
  15. Robeva, Elina; Sturmfels, Bernd; Uhler, Caroline: Geometry of log-concave density estimation (2019)
  16. Groeneboom, Piet; Jongbloed, Geurt: Some developments in the theory of shape constrained inference (2018)
  17. Kim, Arlene K. H.; Guntuboyina, Adityanand; Samworth, Richard J.: Adaptation in log-concave density estimation (2018)
  18. Royset, Johannes O.; Wets, Roger J.-B.: On univariate function identification problems (2018)
  19. Samworth, Richard J.: Recent progress in log-concave density estimation (2018)
  20. Samworth, Richard J. (ed.); Sen, Bodhisattva (ed.): Editorial: Special issue on “Nonparametric inference under shape constraints” (2018)

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