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Forecasting multidrug-resistant organisms infection trends in a Chinese tertiary hospital (2014-2024): a comparative study of SARIMA, ETS, Prophet, and NNETAR models. [PDF]
Chen H, Zhou L.
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Endogenous conflict and the limits of predictive optimization. [PDF]
Chadefaux T, Schincariol T.
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Application of seasonal-adjusted hybrid models for forecasting Discomfort Index in a heat-prone region of Bangladesh. [PDF]
Binte Ahmed A +5 more
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Absorption of shocks in nonlinear autoregressive models
Computational Statistics & Data Analysis, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
van Dijk, Dick +2 more
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Nonlinear system identification using autoregressive quadratic models
Signal Processing, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Le Caillec, Jean-Marc, Garello, René
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PARAMETRIC SPECIFICATION TEST FOR NONLINEAR AUTOREGRESSIVE MODELS
Econometric Theory, 2014The paper considers testing parametric assumptions on the conditional mean and variance functions for nonlinear autoregressive models. To this end, we compare the kernel density estimate of the marginal density of the process with a convolution-type density estimate. It is shown that, interestingly, the latter estimate has a parametric$\left( {\sqrt n }
Kim, Kun Ho, Zhang, Ting, Wu, Wei Biao
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Modeling nonlinear systems by using nonlinear autoregressive moving average models
International Conference on Acoustics, Speech, and Signal Processing, 2002The behavior of two coupled nonlinear oscillators is described by a set of coupled nonlinear differential equations. A mapping technique is applied to these equations to generate nonlinear autoregressive moving average (NARMAX) models that relate the sampled input to the sampled response of the nonlinear coupled systems.
D.K. Seidel, P. Davies
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