modeling, a nonlinear autoregressive exogenous model (NARX) is a nonlinear autoregressive model which has exogenous inputs. This means that the model...

In the statistical analysis of time series, autoregressive–moving-average (ARMA) models are a way to describe a (weakly) stationary stochastic process...

appear as nonlinear versions of finite impulse response and infinite impulse response filters and also as a nonlinear autoregressive exogenous model (NARX)...

the NARMAX (Nonlinear AutoRegressive Moving Average model with eXogenous inputs) algorithms which were developed as part of nonlinear system identification...

Frequently, economic models posit structural parameters. A model may have various exogenous variables, and those variables may change to create various...

sequences. Nonlinear discrete models that represent a wide class of nonlinear recurrence relationships include the NARMAX (Nonlinear Autoregressive Moving...

Self-Exciting Threshold AutoRegressive (SETAR) models are typically applied to time series data as an extension of autoregressive models, in order to allow...

adaptive regression spline Nonlinear regression Nonparametric regression Normal equations Projection pursuit regression Response modeling methodology Segmented...

non-linear models, over those from linear models, as for example in nonlinear autoregressive exogenous models. Further references on nonlinear time series...

Linear time-invariant system theory Model order reduction Model selection Nonlinear autoregressive exogenous model Open system (systems theory) Parameter...

dependent variables, are called 'exogenous'. Graphically, these exogenous variable boxes lie at outside edges of the model and have only single-headed arrows...

the SETAR models), or exogenous variables. The model consists of 2 autoregressive (AR) parts linked by the transition function. The model is usually...

parameter Nonlinear autoregressive exogenous model Nonlinear dimensionality reduction Non-linear iterative partial least squares Nonlinear regression...

dynamic modelling. The nonlinear autoregressive moving average model with exogenous inputs (NARMAX model) can represent a wide class of nonlinear systems...

modeled but are usually acknowledged by modeling the exogenous variables as freely correlating with one another. The model may include intervening variables...

accuracy of electricity price forecasting models. While day-ahead forecasts can take advantage of autoregressive effects, forecasts featuring meteorological...

uncorrelated against the alternative that they follow a first order autoregressive process. Note that the distribution of this test statistic does not...

before. Despite the absence of an experimental design, an RDD can exploit exogenous characteristics of the intervention to elicit causal effects. If all students...

W. (1998). "Children and Their Parents' Labor Supply: Evidence from Exogenous Variation in Family Size". American Economic Review. 88 (3): 450–477....

Causal analysis Multilevel models Factor analysis Linear discriminant analysis Path analysis Structural Equation Modeling Probit and logit Item response...

Vonesh EF, Chinchilli VG (1997). "Crossover Experiments". Linear and Nonlinear Models for the Analysis of Repeated Measurements. London: Chapman and Hall...

considering uniqueness of the exposome (a totality of endogenous and exogenous / environmental exposures) and its unique influence on molecular pathologic...