ks
R package ks Kernel Smoothing: Kernel smoothers for univariate and multivariate data, including density functions, density derivatives, cumulative distributions, modal clustering, discriminant analysis, significant modal regions and two-sample hypothesis testing.
Keywords for this software
References in zbMATH (referenced in 48 articles , 1 standard article )
Showing results 1 to 20 of 48.
Sorted by year (- Matias D. Cattaneo, Michael Jansson, Xinwei Ma: lpdensity: Local Polynomial Density Estimation and Inference (2022) not zbMATH
- Badiane, M.; Ngom, P.; Manga, C.: Bayesian selection of local bandwidth in non-homogeneous Poisson process kernel estimators for the intensity function (2021)
- Casa, Alessandro; Scrucca, Luca; Menardi, Giovanna: Better than the best? Answers via model ensemble in density-based clustering (2021)
- Hudecová, Šárka; Šiman, Miroslav: Testing axial symmetry by means of directional regression quantiles (2021)
- Martínez-Camblor, Pablo; Pérez-Fernández, Sonia; Díaz-Coto, Susana: Optimal classification scores based on multivariate marker transformations (2021)
- Tristan Mary-Huard, Sarmistha Das, Indranil Mukhopadhyay, Stéphane Robin: Querying multiple sets of p-values through composed hypothesis testing (2021) arXiv
- Zhu, Kailun; Kurowicka, Dorota; Nane, Gabriela F.: Simplified R-vine based forward regression (2021)
- Arsalane Chouaib Guidoum: Kernel Estimator and Bandwidth Selection for Density and its Derivatives: The kedd Package (2020) arXiv
- Arsalane Chouaib Guidoum, Kamal Boukhetala: Performing Parallel Monte Carlo and Moment Equations Methods for Ito and Stratonovich Stochastic Differential Systems: R Package Sim.DiffProc (2020) not zbMATH
- Borrajo, M. I.; González-Manteiga, W.; Martínez-Miranda, M. D.: Bootstrapping kernel intensity estimation for inhomogeneous point processes with spatial covariates (2020)
- Casa, Alessandro; Chacón, José E.; Menardi, Giovanna: Modal clustering asymptotics with applications to bandwidth selection (2020)
- Díaz-Coto, Susana; Martínez-Camblor, Pablo; Pérez-Fernández, Sonia: SmoothROCtime: an (\mathsfR) package for time-dependent ROC curve estimation (2020)
- Kandanaarachchi, Sevvandi; Muñoz, Mario A.; Hyndman, Rob J.; Smith-Miles, Kate: On normalization and algorithm selection for unsupervised outlier detection (2020)
- Liu, Yu; De Brabanter, Kris: Smoothed nonparametric derivative estimation using weighted difference quotients (2020)
- Jonas Moss, Martin Tveten: kdensity: An R package for kernel density estimation with parametric starts and asymmetric kernels (2019) not zbMATH
- Mickaël Binois and Victor Picheny: GPareto: An R Package for Gaussian-Process-Based Multi-Objective Optimization and Analysis (2019) not zbMATH
- Teter, Michael D.; Royset, Johannes O.; Newman, Alexandra M.: Modeling uncertainty of expert elicitation for use in risk-based optimization (2019)
- Wang, Wei; Lin, Nan; Tang, Xiang: Robust two-sample test of high-dimensional mean vectors under dependence (2019)
- Wang, Yong; Wang, Xuxu: Classification using semiparametric mixtures (2019)
- Schellhase, Christian; Spanhel, Fabian: Estimating non-simplified vine copulas using penalized splines (2018)