
forecast
 Referenced in 157 articles
[sw04505]
 displaying and analysing univariate time series forecasts including exponential smoothing via state space models...

Forecast
 Referenced in 112 articles
[sw07972]
 displaying and analysing univariate time series forecasts including exponential smoothing via state space models...

Exponentron
 Referenced in 2 articles
[sw26900]
 Online prediction of exponential decay time series with humanagent application. Exponential decay time series ... many fields. In some applications, the time series behavior can change over time ... Exponentron, for the prediction of exponential decay time series. We state a regret bound...

RAEEM
 Referenced in 15 articles
[sw00773]
 output a series of exact traveling wave solutions, including those of polynomial, exponential, triangular, hyperbolic...

SLEX
 Referenced in 18 articles
[sw08605]
 extract local features of the time series, is consistent, and is computationally efficient. Here ... based on the SLEX (smooth localized complex exponential) library. The SLEX library forms a collection ... extract local spectral features of the time series. The first step in our procedure, which...

ECOTOOL
 Referenced in 5 articles
[sw12435]
 models based on time series analysis, among them, ARIMA, Exponential Smoothing, Unobserved Components, ARX, ARMAX...

fable
 Referenced in 3 articles
[sw36225]
 univariate and multivariate time series forecasting models including automatically selected exponential smoothing (ETS) and autoregressive...

CurvFit
 Referenced in 0 articles
[sw19692]
 Modified Lorentz, Power (ie Polynomial) and Exponential series are presently available models to match your...

libkww
 Referenced in 4 articles
[sw29172]
 Fourier transform of the stretched (or compressed) exponential function exp(tβ ) for exponents β between ... derived for the low and high frequency series expansions. For intermediate frequencies, the numeric integration ... accelerated by using the Ooura–Mori double exponential transformation. The primitive of the cosine transform...

SYMARMA
 Referenced in 4 articles
[sw33904]
 conditional symmetric distribution. Gaussian models of time series, ARMA, have been widely used ... extended these models to the exponential family distributions. Also in that direction, Rocha and Cribari ... proposed a time series model for the class of beta distributions. In this paper...

GHICA
 Referenced in 8 articles
[sw25996]
 observed highdimensional time series and then individually and adaptively fit the resulting ... volatility estimation of each IC, the local exponential smoothing technique is used to achieve...

Boot.EXPOS
 Referenced in 2 articles
[sw33870]
 time series developed in the R environment joining two very popular methodologies: the exponential smoothing...

RelaxPy
 Referenced in 1 article
[sw26398]
 components using a Prony series fit to approximate the stretched exponential relaxation form. RelaxPy aims...

MTS
 Referenced in 7 articles
[sw15485]
 correction VAR models for cointegrated time series. For model specification, the package performs structural ... handles several commonly used models, including multivariate exponentially weighted movingaverage volatility, Cholesky decomposition volatility ... estimation of VAR models, and multivariate time series analysis with missing values.Users can also...

robets
 Referenced in 0 articles
[sw17805]
 package robets. Forecasting Time Series with Robust Exponential Smoothing. We provide an outlier robust alternative...

SFA
 Referenced in 7 articles
[sw32513]
 similarity search in high dimensional datasets. Time series analysis, as an application for high dimensional ... data with increasing dimensionality results in an exponential growth of the search space, referred...

RobustDMD
 Referenced in 1 article
[sw41056]
 timeseries data into a product of a matrix of exponentials, representing Fourierlike time...

smooth
 Referenced in 1 article
[sw38792]
 series analysis and forecasting. The package includes ADAM (Svetunkov, 2021, ), Exponential Smoothing...

GRAPPA
 Referenced in 12 articles
[sw17255]
 running time of its scoring algorithm grows exponentially with the number of genes ... within our GRAPPA software and run several series of experiments on both biological and simulated...

SuperpositionForecasting
 Referenced in 1 article
[sw29780]
 different types of cargo. The given time series are highly volatile, noisy, and nonstationary ... historical data. A model of sliding averages, exponential and kernelsmoothing models, the ARIMA model...