Josep Antoni Martín-Fernández

Professor Doctor

Universitat de Girona

Spain

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Josep Antoni Martín-Fernández is a Professor Doctor at the University of Girona, Spain. His research encompasses compositional data analysis, ecozonation, and geostatistical modeling, as demonstrated in his recent publications. He focuses on innovative methodologies for blood glucose prediction, resource assessment from mine tailings, and advanced regression techniques tailored for compositional data. Through his work, he aims to enhance understanding and application of statistical techniques in various scientific domains.

Articles (16)

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2025

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2022

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2022

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2021

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2021

Collaborators (10)

Anne Ruiz-Gazen

Professor

FRANCE

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Mark Engle

Professor

University of Texas at El Paso

UNITED STATES

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Australian National University

AUSTRALIA

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Richard Telford

University of Canberra

AUSTRALIA

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Josep Vehi

Professor

Universitat de Girona

SPAIN

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Josep Antoni Martín-Fernández

Research Interests

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About

Articles (16)

A Constrained Divisive-Compositional Approach to Micropalaeontological Ecozonation

Analysis of Aromatic Fraction of Sparkling Wine Manufactured by Second Fermentation and Aging in Bottles Using Different Types of Closures

Lp-Norm for Compositional Data: Exploring the CoDa L1-Norm in Penalised Regression

Insights in Hierarchical Clustering of Variables for Compositional Data

Validation of a Probabilistic Prediction Model for Patients with Type 1 Diabetes Using Compositional Data Analysis

Assessment of resource potential from mine tailings using geostatistical modeling for compositions: A methodology and application to Katherine Mine site, Arizona, USA

Individualized Prediction of Blood Glucose Outcomes Using Compositional Data Analysis

Lasso regression method for a compositional covariate regularised by the norm L1 pairwise logratio

lrSVD: An efficient imputation algorithm for incomplete high‐throughput compositional data

Using compositional data analysis to explore accumulation of sedentary behavior, physical activity and youth health

Measurement, selection, and visualization of association rules: A compositional data perspective

High-frequency modification of the central Mediterranean seafloor environment over the last 74 ka

Intervention effects on children’s movement behaviour accumulation as a result of the Transform-Us! school- and home-based cluster randomised controlled trial

Predicting Rare Earth Element Potential in Produced and Geothermal Waters of the United States via Emergent Self-Organizing Maps

Units Recovery Methods in Compositional Data Analysis

Probabilistic Model of Transition between Categories of Glucose Profiles in Patients with Type 1 Diabetes Using a Compositional Data Analysis Approach

Collaborators (10)

Anne Ruiz-Gazen

Mark Engle

Clare Hume

Jorge Bondia

Jordi Saperas Riera

Santiago Thió-Henestrosa

Marina Vives-Mestres

Rohan Telford

Richard Telford

Josep Vehi

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