Mario Francisco Fernandez

Mario Francisco Fernandez

Universidade da Coruña

H-index: 18

Europe-Spain

About Mario Francisco Fernandez

Mario Francisco Fernandez, With an exceptional h-index of 18 and a recent h-index of 12 (since 2020), a distinguished researcher at Universidade da Coruña, specializes in the field of Nonparametric estimation.

His recent articles reflect a diverse array of research interests and contributions to the field:

Nonparametric estimation for a functional-circular regression model

Nonparametric conditional risk mapping under heteroscedasticity

TTS package: Computational tools for the application of the Time Temperature Superposition principle

Goodness-of-fit tests for multiple regression with circular response

A flexible functional-circular regression model for analyzing temperature curves

Nonparametric approximation of conditional risk in nonstationary geostatistical processes

Computational Efficiency of Bagging Bootstrap Bandwidth Selection for Density Estimation with Big Data

Nonparametric multiple regression estimation for circular response

Mario Francisco Fernandez Information

University

Position

___

Citations(all)

1031

Citations(since 2020)

456

Cited By

757

hIndex(all)

18

hIndex(since 2020)

12

i10Index(all)

34

i10Index(since 2020)

16

Email

University Profile Page

Universidade da Coruña

Google Scholar

View Google Scholar Profile

Mario Francisco Fernandez Skills & Research Interests

Nonparametric estimation

Top articles of Mario Francisco Fernandez

Title

Journal

Author(s)

Publication Date

Nonparametric estimation for a functional-circular regression model

Statistical Papers

Andrea Meilán-Vila

Rosa M Crujeiras

Mario Francisco-Fernández

2023/3/22

Nonparametric conditional risk mapping under heteroscedasticity

Journal of Agricultural, Biological and Environmental Statistics

Rubén Fernández-Casal

Sergio Castillo-Páez

Mario Francisco-Fernández

2024/3

TTS package: Computational tools for the application of the Time Temperature Superposition principle

Heliyon

Antonio Meneses

Salvador Naya

Mario Francisco-Fernández

Jorge López-Beceiro

Carlos Gracia-Fernández

...

2023/5/1

Goodness-of-fit tests for multiple regression with circular response

Journal of Statistical Computation and Simulation

Andrea Meilán-Vila

Mario Francisco-Fernández

RM Crujeiras

2022/6/13

A flexible functional-circular regression model for analyzing temperature curves

arXiv preprint arXiv:2205.12565

Andrea Meilán-Vila

Rosa M Crujeiras

Mario Francisco-Fernández

2022/5/25

Nonparametric approximation of conditional risk in nonstationary geostatistical processes

Rubén Fernández-Casal

Sergio Castillo-Páez

Mario Francisco-Fernández

2022/3/8

Computational Efficiency of Bagging Bootstrap Bandwidth Selection for Density Estimation with Big Data

Daniel Barreiro-Ures

Ricardo Cao

Mario Francisco-Fernández

2022/6/28

Nonparametric multiple regression estimation for circular response

TEST

Andrea Meilán-Vila

Mario Francisco-Fernández

Rosa M Crujeiras

Agnese Panzera

2021/9

Bagging cross-validated bandwidth selection in nonparametric regression estimation with applications to large-sized samples

arXiv preprint arXiv:2105.04134

Daniel Barreiro-Ures

Ricardo Cao

Mario Francisco-Fernández

2021/5/10

Nonparametric estimation of circular trend surfaces with application to wave directions

Stochastic Environmental Research and Risk Assessment

Andrea Meilán-Vila

Rosa M Crujeiras

Mario Francisco-Fernández

2021/4

A computational validation for nonparametric assessment of spatial trends

Computational Statistics

Andrea Meilán-Vila

Rubén Fernández-Casal

Rosa M Crujeiras

Mario Francisco-Fernández

2021/12

Bagging cross-validated bandwidths with application to big data

Biometrika

Daniel Barreiro-Ures

Ricardo Cao

Mario Francisco-Fernández

Jeffrey D Hart

2021/12/1

Nonparametric multivariate regression estimation for circular responses

arXiv preprint arXiv:2001.10317

Andrea Meilán-Vila

Mario Francisco-Fernández

Rosa M Crujeiras

Agnese Panzera

2020/1/28

A goodness-of-fit test for regression models with spatially correlated errors

TEST

Andrea Meilán-Vila

Jean D Opsomer

Mario Francisco-Fernández

Rosa M Crujeiras

2020/9

Goodness-of-fit tests for parametric regression models with circular response

arXiv preprint arXiv:2008.13473

Andrea Meilán-Vila

Mario Francisco-Fernández

Rosa M Crujeiras

2020/8/31

See List of Professors in Mario Francisco Fernandez University(Universidade da Coruña)