• freqdom.fda

  • Referenced in 30 articles [sw36344]
  • package freqdom.fda: Functional Time Series: Dynamic Functional Principal Components. Implementations of functional dynamic principle components ... methods. These methods directly use multivariate dynamic principal components implementation, following the guidelines from Hormann ... Kidzinski and Hallin (2016), Dynamic Functional Principal Component
  • freqdom

  • Referenced in 3 articles [sw32409]
  • Based Analysis: Dynamic PCA. Implementation of dynamic principal component analysis (DPCA), simulation ... Hormann, Kidzinski and Hallin (2016), Dynamic Functional Principal Component
  • gdpc

  • Referenced in 2 articles [sw32408]
  • package gdpc: Generalized Dynamic Principal Components. Functions to compute the Generalized Dynamic Principal Components introduced ... used in the generalized dynamic principal components as well as the number of components required...
  • pcdpca

  • Referenced in 2 articles [sw26261]
  • package pcdpca: Dynamic Principal Components for Periodically Correlated Functional Time Series. Method extends multivariate ... functional dynamic principal components to periodically correlated multivariate time series. This package allows ... compute true dynamic principal components in the presence of periodicity. We follow implementation guidelines...
  • rccm

  • Referenced in 1 article [sw40682]
  • retained component criterion for the moving dynamic principal component analysis. Moving dynamic principal component analysis ... This paper proposes an extension of principal component analysis to non-stationary multivariate time series ... retained components is proposed. An advance correlation matrix is developed to evaluate dynamic relationships among...
  • MDPCA

  • Referenced in 1 article [sw40683]
  • package MDPCA: Moving dynamic principal component analysis for non-stationary multivariate time series. This paper ... proposes an extension of principal component analysis to non-stationary multivariate time series data ... retained components is proposed. An advance correlation matrix is developed to evaluate dynamic relationships among...
  • MCOV

  • Referenced in 1 article [sw40684]
  • MCOV: moving cross-covariance matrix. Moving dynamic principal component analysis for non-stationary multivariate time ... This paper proposes an extension of principal component analysis to non-stationary multivariate time series ... retained components is proposed. An advance correlation matrix is developed to evaluate dynamic relationships among...
  • MACF

  • Referenced in 1 article [sw40685]
  • auto- and cross-correlation function. Moving dynamic principal component analysis for non-stationary multivariate time ... This paper proposes an extension of principal component analysis to non-stationary multivariate time series ... retained components is proposed. An advance correlation matrix is developed to evaluate dynamic relationships among...
  • fdapace

  • Referenced in 7 articles [sw15968]
  • Empirical Dynamics. The core of this package is Functional Principal Component Analysis (FPCA ... random trajectories and time courses, via the Principal Analysis by Conditional Estimation (PACE) algorithm ... trajectories, and for the analysis of underlying dynamics. The core computational algorithms are implemented using...
  • gNCA

  • Referenced in 4 articles [sw08821]
  • Component Analysis (NCA) is a network structure-driven framework for deducing regulatory signal dynamics ... classical approaches such as principal component analysis or independent component analysis, NCA makes ... from regulatory gene knockouts that constrain the dynamics of regulatory signals. The ability of incorporating...
  • Bio3d

  • Referenced in 4 articles [sw15706]
  • read and write structure, sequence and dynamic trajectory data, perform sequence and structure database searches ... sequence conservation analysis, normal mode analysis, principal component analysis of heterogeneous structure data, and correlation ... network analysis from normal mode and molecular dynamics data. In addition, various utility functions...
  • PACE

  • Referenced in 2 articles [sw28690]
  • Empirical Dynamics in Matlab. The core of this package is Functional Principal Component Analysis (FPCA ... random trajectories and time courses, via the Principal Analysis by Conditional Estimation (PACE) algorithm. PACE ... trajectories, and for the analysis of underlying dynamics, through empirical differential equations...
  • ADE-4

  • Referenced in 8 articles [sw14077]
  • principal component regression), projection methods like principal component analysis on instrumental variables, canonical correspondence analysis ... table graphics and geographical mapping options. A dynamic graphic module allows interactive operations like searching...
  • EdgeRewire

  • Referenced in 7 articles [sw40656]
  • principal eigenvalue) is related to the effective spreading rates of dynamic processes (e.g., rumor, disease ... partitionability” of a graph into disjoint components. In this work we address the problem...
  • MTS

  • Referenced in 7 articles [sw15485]
  • used in finance and econometrics, and principal volatility component analysis. (a) For the multivariate linear ... structural specification include Kronecker indices and Scalar Component Models. (b) For multivariate volatility modeling ... moving-average volatility, Cholesky decomposition volatility models, dynamic conditional correlation (DCC) models, copula-based volatility...
  • RobustDMD

  • Referenced in 1 article [sw41056]
  • creates significant biases in the recovered time dynamics. As a result, practitioners are left ... black-box cleaning approach like robust principal component analysis (PCA). As an alternative, we propose...
  • PACE

  • Referenced in 2 articles [sw21259]
  • terms of its software, parallelization, and hardware components. The methodology is illustrated with an implementation ... execution time, scalability, and resource use. A principal aim of the work is to provide ... application steering and scheduling with reference to dynamically changing systems and metacomputing...
  • AMD

  • Referenced in 60 articles [sw00039]
  • Algorithm 837: AMD is a set of routines...
  • ANSYS

  • Referenced in 704 articles [sw00044]
  • ANSYS offers a comprehensive software suite that spans...
  • ARfit

  • Referenced in 38 articles [sw00046]
  • ARfit is a collection of Matlab modules for...