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Optimal model averaging of mixed-data kernel-weighted spline regressions

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A partially linear kernel estimator for categorical data

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Nonparametric estimation of conditional quantile functions in the presence of irrelevant covariates

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Slope heuristics and V-Fold model selection in heteroscedastic regression using strongly localized bases

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Functional linear regression : a case study from the food industry

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A problem of analyzing functions in statistics is a very recent phenomenon that has been extensively investigated. The functionality in observed data, that is, when data are generated through a process naturally described as functional, occurs in many areas of sciences. For example, time series...

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Forecasting with functional and twice censored data

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Dynamic modeling for multivariate functional and longitudinal data

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How functional data can enhance the estimation of health expectancy : the case of disabled Spanish population

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