CAPUSHE
From MaRDI portal
Software:25279
No author found.
Related Items (64)
Deconvolution with unknown noise distribution is possible for multivariate signals ⋮ Some theoretical results regarding the polygonal distribution ⋮ Hazard estimation with censoring and measurement error: application to length of pregnancy ⋮ Clustering transformed compositional data usingK-means, with applications in gene expression and bicycle sharing system data ⋮ Nonparametric weighted estimators for biased data ⋮ Piecewise autoregression for general integer-valued time series ⋮ Tuning parameter selection in sparse regression modeling ⋮ Selection of the number of clusters in functional data analysis ⋮ Detecting possibly frequent change-points: wild binary segmentation 2 and steepest-drop model selection ⋮ Spatial CART classification trees ⋮ Learning with tree tensor networks: complexity estimates and model selection ⋮ Adaptive deconvolution of linear functionals on the nonnegative real line ⋮ General Hannan and Quinn criterion for common time series ⋮ Joint rank and variable selection for parsimonious estimation in a high-dimensional finite mixture regression model ⋮ Unnamed Item ⋮ Slope heuristics and V-Fold model selection in heteroscedastic regression using strongly localized bases ⋮ Exponential inequalities for nonstationary Markov chains ⋮ Consistent model selection criteria and goodness-of-fit test for common time series models ⋮ Model-based regression clustering for high-dimensional data: application to functional data ⋮ Adaptive density estimation on bounded domains under mixing conditions ⋮ Estimator selection: a new method with applications to kernel density estimation ⋮ Should we estimate a product of density functions by a product of estimators? ⋮ Multiview cluster aggregation and splitting, with an application to multiomic breast cancer data ⋮ High-dimensional VAR with low-rank transition ⋮ Non-asymptotic adaptive prediction in functional linear models ⋮ Multiple breaks detection in general causal time series using penalized quasi-likelihood ⋮ Selecting the length of a principal curve within a Gaussian model ⋮ Optimal model selection in heteroscedastic regression using piecewise polynomial functions ⋮ An oracle approach for interaction neighborhood estimation in random fields ⋮ Inhomogeneous and anisotropic conditional density estimation from dependent data ⋮ Optimal model selection in density estimation ⋮ Data-driven semi-parametric detection of multiple changes in long-range dependent processes ⋮ Warped bases for conditional density estimation ⋮ Consistent change-point detection with kernels ⋮ On the number of groups in clustering ⋮ Consistent order estimation for nonparametric hidden Markov models ⋮ Mixture of Gaussian regressions model with logistic weights, a penalized maximum likelihood approach ⋮ Model selection for simplicial approximation ⋮ Adaptive density estimation in deconvolution problems with unknown error distribution ⋮ Statistical Inference for Renewal Processes ⋮ Gaussian linear model selection in a dependent context ⋮ Component Elimination Strategies to Fit Mixtures of Multiple Scale Distributions ⋮ Optimal adaptive estimation on \(\mathbb{R}\) or \(\mathbb{R}^{+}\) of the derivatives of a density ⋮ Efficient semiparametric estimation and model selection for multidimensional mixtures ⋮ Adaptive estimation of the hazard rate with multiplicative censoring ⋮ Adaptive density estimation for clustering with Gaussian mixtures ⋮ Variable selection methods for model-based clustering ⋮ State-by-state Minimax Adaptive Estimation for Nonparametric Hidden Markov Models ⋮ A mixture model approach for compositional data: inferring land-use influence on point-referenced water quality measurements ⋮ Nonparametric multiple change-point estimation for analyzing large Hi-C data matrices ⋮ A quasi-Bayesian perspective to online clustering ⋮ Block-Diagonal Covariance Selection for High-Dimensional Gaussian Graphical Models ⋮ Adaptive estimation of nonparametric geometric graphs ⋮ Simultaneous dimension reduction and clustering via the NMF-EM algorithm ⋮ EM for mixtures ⋮ High-dimensional regression with unknown variance ⋮ A proportional hazards regression model with change-points in the baseline function ⋮ A breakpoint detection in the mean model with heterogeneous variance on fixed time intervals ⋮ K-bMOM: A robust Lloyd-type clustering algorithm based on bootstrap median-of-means ⋮ Adaptive procedure for Fourier estimators: application to deconvolution and decompounding ⋮ A non-asymptotic approach for model selection via penalization in high-dimensional mixture of experts models ⋮ Estimation and model selection for model-based clustering with the conditional classification likelihood ⋮ Adaptive Laguerre density estimation for mixed Poisson models ⋮ The discriminative functional mixture model for a comparative analysis of bike sharing systems
This page was built for software: CAPUSHE
