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04/05/2022
A robust scalar-on-function logistic regression for classification
Scalar-on-function logistic regression, where the response is a binary o...
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03/09/2022
A Robust Functional Partial Least Squares for Scalar-on-Multiple-Function Regression
The scalar-on-function regression model has become a popular analysis to...
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11/09/2021
Function-on-function linear quantile regression
In this study, we propose a function-on-function linear quantile regress...
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11/01/2021
A robust partial least squares approach for function-on-function regression
The function-on-function linear regression model in which the response a...
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09/13/2021
Function-on-function partial quantile regression
In this paper, a functional partial quantile regression approach, a quan...
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04/26/2021
A functional autoregressive model based on exogenous hydrometeorological variables for river flow prediction
In this research, a functional time series model was introduced to predi...
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12/09/2020
A partial least squares approach for function-on-function interaction regression
A partial least squares regression is proposed for estimating the functi...
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11/16/2020
Robust bootstrap prediction intervals for univariate and multivariate autoregressive time series models
The bootstrap procedure has emerged as a general framework to construct ...
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10/11/2020
Granger causality of bivariate stationary curve time series
We study causality between bivariate curve time series using the Granger...
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03/12/2020
A comparison of parameter estimation in function-on-function regression
Recent technological developments have enabled us to collect complex and...
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01/08/2020
Functional linear models for interval-valued data
Aggregation of large databases in a specific format is a frequently used...
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12/15/2019
On function-on-function regression: Partial least squares approach
Functional data analysis tools, such as function-on-function regression ...
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08/01/2019
