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.
Keywords for this software
References in zbMATH (referenced in 49 articles , 1 standard article )
Showing results 1 to 20 of 49.
Sorted by year (- Balabdaoui, Fadoua; Kulagina, Yulia: Completely monotone distributions: mixing, approximation and estimation of number of species (2020)
- Doss, Charles R.: Bracketing numbers of convex and (m)-monotone functions on polytopes (2020)
- Ferraccioli, Federico; Sangalli, Laura M.; Arnone, Eleonora; Finos, Livio: A functional data analysis approach to the estimation of densities over complex regions (2020)
- Hütter, Jan-Christian; Mao, Cheng; Rigollet, Philippe; Robeva, Elina: Optimal rates for estimation of two-dimensional totally positive distributions (2020)
- Lim, Eunji: The limiting behavior of isotonic and convex regression estimators when the model is misspecified (2020)
- Mariucci, Ester; Ray, Kolyan; Szabó, Botond: A Bayesian nonparametric approach to log-concave density estimation (2020)
- Royset, Johannes O.: Approximations of semicontinuous functions with applications to stochastic optimization and statistical estimation (2020)
- Royset, Johannes O.; Wets, Roger J-B.: Variational analysis of constrained m-estimators (2020)
- Chu, Lynna; Chen, Hao: Asymptotic distribution-free change-point detection for multivariate and non-Euclidean data (2019)
- Doss, Charles R.; Wellner, Jon A.: Univariate log-concave density estimation with symmetry or modal constraints (2019)
- Doss, Charles R.; Wellner, Jon A.: Inference for the mode of a log-concave density (2019)
- Mazumder, Rahul; Choudhury, Arkopal; Iyengar, Garud; Sen, Bodhisattva: A computational framework for multivariate convex regression and its variants (2019)
- Rathke, Fabian; Schnörr, Christoph: Fast multivariate log-concave density estimation (2019)
- Ren, Zhao; Kang, Yongjian; Fan, Yingying; Lv, Jinchi: Tuning-free heterogeneous inference in massive networks (2019)
- Robeva, Elina; Sturmfels, Bernd; Uhler, Caroline: Geometry of log-concave density estimation (2019)
- Groeneboom, Piet; Jongbloed, Geurt: Some developments in the theory of shape constrained inference (2018)
- Kim, Arlene K. H.; Guntuboyina, Adityanand; Samworth, Richard J.: Adaptation in log-concave density estimation (2018)
- Royset, Johannes O.; Wets, Roger J.-B.: On univariate function identification problems (2018)
- Samworth, Richard J.: Recent progress in log-concave density estimation (2018)
- Samworth, Richard J. (ed.); Sen, Bodhisattva (ed.): Editorial: Special issue on “Nonparametric inference under shape constraints” (2018)