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FUNCTION-ON-FUNCTION LINEAR QUANTILE REGRESSION

Mathematical modelling and analysis, 2022-04, Vol.27 (2), p.322-341

2022

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Prediction of evaporation in arid and semi-arid regions: a comparative study using different machine learning models

Engineering applications of computational fluid mechanics, 2020-01, Vol.14 (1), p.70-89

2020

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Construction of functional data analysis modeling strategy for global solar radiation prediction: application of cross-station paradigm

Engineering applications of computational fluid mechanics, 2019-01, Vol.13 (1), p.1165-1181

2019

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Forecasting functional time series using weighted likelihood methodology

Journal of statistical computation and simulation, 2019-11, Vol.89 (16), p.3046-3060

2019

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Robust bootstrap prediction intervals for univariate and multivariate autoregressive time series models

Journal of applied statistics, 2022-04, Vol.49 (5), p.1179-1202

2022

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A comparison of parameter estimation in function-on-function regression

Communications in statistics. Simulation and computation, 2022-08, Vol.51 (8), p.4607-4637

2022

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On function-on-function linear quantile regression

Journal of applied statistics, 2024-08, p.1-27

2024

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A robust scalar-on-function logistic regression for classification

Communications in statistics. Theory and methods, 2023-12, Vol.52 (23), p.8538-8554

2023

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Robust scalar-on-function partial quantile regression

Journal of applied statistics, 2024-05, Vol.51 (7), p.1359-1377

2024

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Jackknife-After-Bootstrap as Logistic Regression Diagnostic Tool

Communications in statistics. Simulation and computation, 2014-10, Vol.43 (9), p.2047-2060

2014

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New block bootstrap methods: Sufficient and/or ordered

Communications in statistics. Simulation and computation, 2017-05, Vol.46 (5), p.3942-3951

2017

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Jackknife-After-Bootstrap Method for Detection of Influential Observations in Linear Regression Models

Communications in statistics. Simulation and computation, 2013-07, Vol.42 (6), p.1256-1267

2013

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Functional linear models for interval-valued data

Communications in statistics. Simulation and computation, 2022-07, Vol.51 (7), p.3513-3532

2022

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Sufficient m-out-of-n (m/n) bootstrap

Journal of statistical computation and simulation, 2017-06, Vol.87 (9), p.1742-1753

2017

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Robust BCa-JaB method as a diagnostic tool for linear regression models

Journal of applied statistics, 2014-07, Vol.41 (7), p.1593-1610

2014

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FUNCTION-ON-FUNCTION LINEAR QUANTILE REGRESSION

Prediction of evaporation in arid and semi-arid regions: a comparative study using different machine learning models

Construction of functional data analysis modeling strategy for global solar radiation prediction: application of cross-station paradigm

Forecasting functional time series using weighted likelihood methodology

Robust bootstrap prediction intervals for univariate and multivariate autoregressive time series models

A comparison of parameter estimation in function-on-function regression

On function-on-function linear quantile regression

A robust scalar-on-function logistic regression for classification

Robust scalar-on-function partial quantile regression

Jackknife-After-Bootstrap as Logistic Regression Diagnostic Tool

New block bootstrap methods: Sufficient and/or ordered

Jackknife-After-Bootstrap Method for Detection of Influential Observations in Linear Regression Models

Functional linear models for interval-valued data

Sufficient m-out-of-n (m/n) bootstrap

Robust BCa-JaB method as a diagnostic tool for linear regression models

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