
ROCKET
 Referenced in 11 articles
[sw30016]
 variables is of fundamental importance in highdimensional statistics, with numerous applications in biological ... inference for edge parameters in a highdimensional transelliptical model, which generalizes Gaussian and nonparanormal...

SIS
 Referenced in 8 articles
[sw08182]
 model selection and estimation in highdimensional statistical models. Through this publicly available package...

SPECTRODE
 Referenced in 9 articles
[sw13984]
 insights into the behavior of statistical methods under highdimensional asymptotics. However, the applicability ... problems. Consider the usual model of multivariate statistics where the data is a sample from ... with a given covariance matrix. Under highdimensional asymptotics, there is a deterministic map from ... broaden the use of RMT in highdimensional data analysis...

huge
 Referenced in 38 articles
[sw08466]
 huge package for highdimensional undirected graph estimation in R. We describe an R package ... easytouse functions for estimating high dimensional undirected graphs from data. This package implements ... also provides functions for fitting high dimensional semiparametric Gaussian copula models; (3) more functions like ... problems, making a tradeoff between computational and statistical efficiency...

scout
 Referenced in 27 articles
[sw12062]
 highdimensional problems”, by Witten and Tibshirani (2008), Journal of the Royal Statistical Society, Series...

ARfit
 Referenced in 38 articles
[sw00046]
 highdimensional. ARfit modules construct approximate confidence intervals for the estimated parameters and compute statistics...

hdm
 Referenced in 4 articles
[sw21313]
 HighDimensional Metrics. Implementation of selected highdimensional statistical and econometric methods for estimation ... various lowdimensional causal/ structural parameters are provided which appear in highdimensional approximately sparse...

DREAM
 Referenced in 6 articles
[sw24746]
 problems involving (among others) bimodality, highdimensionality, summary statistics, bounded parameter spaces, dynamic simulation models...

WeightedPortTest
 Referenced in 11 articles
[sw12429]
 American Statistical Association: We exploit ideas from highdimensional data analysis to derive new portmanteau ... order autocorrelation matrix. The resulting statistics are weighted sums of the squares of the sample...

plyr
 Referenced in 10 articles
[sw10635]
 panels or collapse highdimensional arrays to simpler summary statistics. The development of plyr...

CMARS
 Referenced in 27 articles
[sw08523]
 optimization Regression analysis is a widely used statistical method for modelling relationships between variables. Multivariate ... MARS) especially is very useful for highdimensional problems and fitting nonlinear multivariate functions...

COVAIN
 Referenced in 1 article
[sw10556]
 Covain: a toolbox for uni and multivariate statistics, time series and correlation network analysis ... corresponding phenotypes. As metabolomics data are highdimensional, statistical data analysis is complex. No single...

ADMB
 Referenced in 14 articles
[sw07416]
 emphasis on functionality found in no other statistical software. One example of such a feature ... generic implementation of Laplace approximation of highdimensional integrals for use in latent variable models...

CHIME
 Referenced in 5 articles
[sw28514]
 CHIME: clustering of highdimensional Gaussian mixtures with EM algorithm and its optimality. Unsupervised learning ... important problem in statistics and machine learning with a wide range of applications ... this paper, we study clustering of highdimensional Gaussian mixtures and propose a procedure, called...

compound.Cox
 Referenced in 4 articles
[sw17899]
 survival data with highdimensional gene expressions. Available are statistical methods in Emura...

MSMBuilder
 Referenced in 2 articles
[sw23802]
 software package for building statistical models of highdimensional timeseries data. It is designed...

FAMT
 Referenced in 29 articles
[sw11123]
 FAMT) : simultaneous tests under dependence in highdimensional data. The method proposed in this package ... dependence on the multiple testing procedures for highthroughput data as proposed by Friguet ... thanks to an EM algorithm. Adjusted tests statistics are derived, as well as the associated...

ASKIT
 Referenced in 10 articles
[sw17470]
 ASKIT: an efficient, parallel library for highdimensional kernel summations. Kernelbased methods ... variety of machine learning and computational statistics methods. A key bottleneck in these methods...

highdim
 Referenced in 1 article
[sw34429]
 highdim: A Matlab library for statistical testing of highdimensional data, including...

SurvBoost
 Referenced in 1 article
[sw23772]
 Proportional Hazards Model via Gradient Boosting. Highdimensional variable selection in the proportional hazards ... lack of computationally efficient statistical software for highdimensional variable selection in the SPH model...