• hdi

  • Referenced in 26 articles [sw22818]
  • package hdi: High-Dimensional Inference. Implementation of multiple approaches to perform inference in high-dimensional...
  • ROCKET

  • Referenced in 13 articles [sw30016]
  • variables is of fundamental importance in high-dimensional statistics, with numerous applications in biological ... focus on inference for edge parameters in a high-dimensional transelliptical model, which generalizes Gaussian ... normality of ROCKET in an ultra high-dimensional setting under mild assumptions, without relying ... Gaussian models in terms of achieving accurate inference on simulated data. We also compare...
  • hdm

  • Referenced in 7 articles [sw21313]
  • selected high-dimensional statistical and econometric methods for estimation and inference. Efficient estimators and uniformly ... structural parameters are provided which appear in high-dimensional approximately sparse models. Including functions ... high-dimensional setting. Moreover, the methods enable valid post-selection inference and rely...
  • VBayesLab

  • Referenced in 5 articles [sw41752]
  • models. Efficient computational methods for high-dimensional Bayesian inference are developed using Gaussian variational approximation...
  • FFJORD

  • Referenced in 9 articles [sw34244]
  • approach on high-dimensional density estimation, image generation, and variational inference, achieving the state...
  • SIHR

  • Referenced in 2 articles [sw39919]
  • High Dimensional Regression. Inference procedures in the high-dimensional setting for (1) linear functionals...
  • GANomaly

  • Referenced in 5 articles [sw41240]
  • learns the generation of high-dimensional image space and the inference of latent space. Employing...
  • hierinf

  • Referenced in 4 articles [sw33471]
  • hierarchical inference for one or multiple studies / data sets based on high-dimensional multivariate (generalised...
  • PyDREAM

  • Referenced in 1 article [sw34672]
  • PyDREAM: high-dimensional parameter inference for biological models in python. : Biological models contain many parameters ... exhibit slow or premature convergence in high-dimensional search spaces. Here, we present PyDREAM ... advantage of distributed computing resources, facilitating parameter inference and uncertainty estimation of CPU-intensive biological...
  • GGMselect

  • Referenced in 9 articles [sw10347]
  • Graph selection with GGMselect. Applications on inference of biological networks have raised a strong interest ... problem of graph estimation in high-dimensional Gaussian graphical models. To handle this problem...
  • RCAL

  • Referenced in 2 articles [sw33473]
  • estimation for causal inference and missing-data problems with high-dimensional data, based...
  • HDTD

  • Referenced in 2 articles [sw38988]
  • Statistical Inference about the Mean Matrix and the Covariance Matrices in High-Dimensional Transposable Data ... called high-dimensional transposable data. The HDTD package provides functions for conducting statistical inference...
  • EEBoost

  • Referenced in 1 article [sw26353]
  • which can be applied in high-dimensional settings where inference for low-dimensional parameters would...
  • DREAM

  • Referenced in 9 articles [sw24746]
  • models the posterior distribution is often high dimensional and analytically intractable, and sampling methods ... 2008a, 2009a) and used for Bayesian inference in fields ranging from physics, chemistry and engineering ... sampling problems involving (among others) bimodality, high-dimensionality, summary statistics, bounded parameter spaces, dynamic simulation...
  • ADMB

  • Referenced in 17 articles [sw07416]
  • builder: using automatic differentiation for statistical inference of highly parameterized complex nonlinear models. Many criteria ... framework based on automatic differentiation, aimed at highly nonlinear models with a large number ... using AD are computational efficiency and high numerical accuracy, both crucial in many practical problems ... generic implementation of Laplace approximation of high-dimensional integrals for use in latent variable models...
  • mvPot

  • Referenced in 1 article [sw42605]
  • Extreme Events. Tools for high-dimensional peaks-over-threshold inference and simulation of spatial extremal...
  • fdatest

  • Referenced in 13 articles [sw19272]
  • interval testing procedure: A general framework for inference in functional data analysis. We introduce ... representation of data on a (possibly high-dimensional) functional basis; (ii) the test of each...
  • beam

  • Referenced in 1 article [sw42284]
  • Fast Bayesian inference of marginal and conditional independence structures from high-dimensional data. Leday...
  • CorrT

  • Referenced in 6 articles [sw26432]
  • sparse high-dimensional linear models. In high-dimensional linear models, the sparsity assumption is typically ... Under the sparsity assumption, estimation and, recently, inference have been well studied. However, in practice...
  • PtPack

  • Referenced in 2 articles [sw26588]
  • high-dimensional temporal point processes. It aims to provide flexible modeling, learning, and inference...