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Nonlinear prediction via Hermite transformation
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作者 tucker mcelroy Srinjoy Das 《Statistical Theory and Related Fields》 2021年第1期49-54,共6页
General prediction formulas involving Hermite polynomials are developed for time series expressed as a transformation of a Gaussian process.The prediction gains over linear predictors are examined numerically,demonstr... General prediction formulas involving Hermite polynomials are developed for time series expressed as a transformation of a Gaussian process.The prediction gains over linear predictors are examined numerically,demonstrating the improvement of nonlinear prediction. 展开更多
关键词 Gaussian transformation Hermite polynomial nonlinear forecasting time series
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