• wavethresh

  • Referenced in 132 articles [sw06084]
  • locally stationary wavelet time series, nonstationary multiscale transfer function modeling, density estimation...
  • tgp

  • Referenced in 35 articles [sw07921]
  • package tgp: Bayesian treed Gaussian process models. Bayesian nonstationary, semiparametric nonlinear regression and design ... with jumps to the limiting linear model (LLM). Special cases also implemented include Bayesian linear...
  • WaveThresh4

  • Referenced in 39 articles [sw04496]
  • locally stationary wavelet time series, nonstationary multiscale transfer function modeling, density estimation...
  • SLEX

  • Referenced in 18 articles [sw08605]
  • Time Series Using the SLEX Model. Statistical discrimination for nonstationary random processes is important...
  • INDELible

  • Referenced in 7 articles [sw23043]
  • substitution models, including the general unrestricted model and nonstationary nonhomogeneous models of nucleotide substitution, mixture...
  • convoSPAT

  • Referenced in 4 articles [sw15289]
  • package convoSPAT: Convolution-Based Nonstationary Spatial Modeling. Fits convolution-based nonstationary Gaussian process models ... point-referenced spatial data. The nonstationary covariance function allows the user to specify the underlying ... provided are functions to fit stationary spatial models for comparison, calculate the kriging predictor...
  • BayesNSGP

  • Referenced in 2 articles [sw30769]
  • Gaussian Process Models. Enables off-the-shelf functionality for fully Bayesian, nonstationary ... Gaussian process modeling. The approach to nonstationary modeling involves a closed-form, convolution-based covariance...
  • ART 3

  • Referenced in 27 articles [sw08755]
  • interactions that enable presynaptic transmitter dynamics to model the postsynaptic short-term memory representation ... capable of discovering appropriate representations of a nonstationary input environment...
  • BootWPTOS

  • Referenced in 6 articles [sw23807]
  • misleading when applied to nonstationary series, often resulting in inaccurate models and poor forecasts. Hence ... recent explosion in the number of nonstationary time series analysis tools. Most existing stationarity tests...
  • climextRemes

  • Referenced in 1 article [sw16300]
  • point process fitting) models for extremes in climate data, providing return values, return probabilities ... return periods for stationary and nonstationary models. Also provides differences in return values and differences...
  • PARAFAC

  • Referenced in 21 articles [sw14789]
  • Several generalizations of the parallel factor analysis model are currently under development, including ones that ... increase the method’s robustness against nonstationary factor structures and qualitative (nonproportional) factor change...
  • TVICA

  • Referenced in 6 articles [sw25995]
  • homogeneous situations and does improve accuracy in nonstationary settings with possible structural change. In real ... alternatives, including ICA, PCA and DCC-based models...
  • SuperpositionForecasting

  • Referenced in 1 article [sw29780]
  • problem of selecting the optimum system of models for forecasting short-term railway traffic volumes ... nonstationary. A system is proposed that selects the optimum superpositioning of forecasting models with respect...
  • PANFIS

  • Referenced in 6 articles [sw13735]
  • omnipresent neuro-fuzzy systems. Nonetheless, learning in nonstationary environment entails a system owning high degree ... escalating human’s interpretability. The learning and modeling performances of the proposed PANFIS are numerically...
  • STATESPACE

  • Referenced in 1 article [sw12091]
  • Alternatively, you can specify the state space model by giving the form of the state ... that the time series are jointly stationary. Nonstationary series must be made stationary by some...
  • BFDA

  • Referenced in 2 articles [sw14769]
  • toolbox, BFDA, that implements a Bayesian hierarchical model for smoothing functional data and estimating mean ... Flexibly adapts for both stationary and nonstationary functional data; (4) Provides accurately smoothed functional data...
  • ATLAS

  • Referenced in 197 articles [sw00056]
  • This paper describes the Automatically Tuned Linear Algebra...
  • LAPACK

  • Referenced in 1626 articles [sw00503]
  • LAPACK is written in Fortran 90 and provides...
  • LSQR

  • Referenced in 358 articles [sw00530]
  • Algorithm 583: LSQR: Sparse Linear Equations and Least...
  • Matlab

  • Referenced in 12074 articles [sw00558]
  • MATLAB® is a high-level language and interactive...