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Scopus Author ID: 57211959613
SciProfiles: 1456997

Keywords

Bayesian inference, Extreme value theory, Copula theory, Bayesian computation

Countries

Spain

Activities

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Employment (8)

Universidad de Extremadura: Badajoz, ES

2024-07-22 to present | Profesor Ayudante Doctor (Matemáticas)
Employment
Source: Self-asserted source
Mario M. Pizarro

Universidad de León: León, ES

2023-12-19 to 2024-07-21 | Profesor Ayudante Doctor (Economía y Estadística)
Employment
Source: Self-asserted source
Mario M. Pizarro

University of Extremadura: Badajoz, ES

2023-09 to 2023-12 | Temporary professor (Mathematics)
Employment
Source: Self-asserted source
Mario M. Pizarro

Universidad de Extremadura Centro Universitario de Mérida: Merida, Extremadura, ES

2021-04 to 2023-05 | Temporary professor (Mathematics)
Employment
Source: Self-asserted source
Mario M. Pizarro

Universidad de Extremadura Facultad de Veterinaria: Caceres, Extremadura, ES

2021-01 to 2021-04 | Pre-doctoral researcher (Mathematics)
Employment
Source: Self-asserted source
Mario M. Pizarro

Universidad de Extremadura Escuela Politécnica: Caceres, Extremadura, ES

2020-10 to 2020-12 | Temporary professor (Mathematics)
Employment
Source: Self-asserted source
Mario M. Pizarro

Universidad de Extremadura Facultad de Veterinaria: Caceres, Extremadura, ES

2020-06 to 2020-10 | Pre-doctoral researcher (Mathematics)
Employment
Source: Self-asserted source
Mario M. Pizarro

Universidad de Extremadura Facultad de Ciencias: Badajoz, Extremadura, ES

2019-02 to 2020-04 | Pre-doctoral researcher (Physics)
Employment
Source: Self-asserted source
Mario M. Pizarro

Education and qualifications (5)

Universidad de Extremadura: Badajoz, Extremadura, ES

2023-10-05 to present | PhD in Mathematics (Mathematics)
Education
Source: Self-asserted source
Mario M. Pizarro

Universidad de Extremadura Escuela de Ingenierías Industriales: Badajoz, Extremadura, ES

2019 to 2020 | Master Degree in Simulation on Science and Engineering, Specialization in Simulation on Science (School of Industrial Engineering)
Education
Source: Self-asserted source
Mario M. Pizarro

Universidad de Extremadura Facultad de Ciencias: Badajoz, Extremadura, ES

2018 to 2019 | Master Degree in Teacher Training, Specialization in Mathematics (Faculty of Science)
Education
Source: Self-asserted source
Mario M. Pizarro

Universidad de Extremadura Facultad de Ciencias: Badajoz, Extremadura, ES

2017 to 2018 | Bachelor Degree in Statistics (Faculty of Science)
Education
Source: Self-asserted source
Mario M. Pizarro

Universidad de Extremadura Facultad de Ciencias: Badajoz, Extremadura, ES

2012 to 2017 | Bachelor Degree in Mathematics (Faculty of Science)
Education
Source: Self-asserted source
Mario M. Pizarro

Works (14)

A new Bayesian method for estimation of value at risk and conditional value at risk

Empirical Economics
2025-03 | Journal article
DOI: 10.1007/s00181-024-02664-2
Contributors: Jacinto Martín; M. Isabel Parra; Mario M. Pizarro; Eva L. Sanjuán
Source: check_circle
Crossref

Semantic Kansei Engineering Approach for Game Controllers and Design Improvement

Applied Sciences
2024-07 | Journal article | Author
DOI: 10.3390/app14156579
Contributors: A.G. González; Oscar López Pérez; Mario M. Pizarro; J. F. Vázquez
Source: check_circle
Multidisciplinary Digital Publishing Institute

A Bayesian hierarchical spatio-temporal model for summer extreme temperatures in Spain

Stochastic Environmental Research and Risk Assessment
2024-06-15 | Journal article
DOI: 10.1007/s00477-024-02754-8
Part of ISSN: 1436-3240
Part of ISSN: 1436-3259
Contributors: José Agustín García; Francisco Javier Acero; Mario Martínez-Pizarro; Manuel Lara
Source: Self-asserted source
Mario M. Pizarro

Bayesian Sensitivity Analysis for VaR and CVaR Employing Distorted Band Priors

Axioms
2024-01-24 | Journal article
DOI: 10.3390/axioms13020077
Contributors: José Pablo Arias-Nicolás; María Isabel Parra; Mario M. Pizarro; Eva L. Sanjuán
Source: check_circle
Crossref
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Preferred source (of 3)‎

Métodos Bayesianos de estimación para valores extremos

XL Congreso Nacional de Estadística e Investigación Operativa
2023-11-07 | Conference paper
Contributors: Mario M. Pizarro; M. Isabel Parra; Eva L. Sanjuán; Jacinto Martín
Source: Self-asserted source
Mario M. Pizarro

Algunos problemas de Estadística Computacional

2023-10-05 | Dissertation or Thesis
Contributors: Mario M. Pizarro
Source: Self-asserted source
Mario M. Pizarro

Informative priors to estimate the value-at-risk

25th International Conference on Computational Statistics
2023-08-25 | Conference paper
Contributors: Mario M. Pizarro; Eva L. Sanjuán; M.Isabel Parra
Source: Self-asserted source
Mario M. Pizarro

Nuevas estrategias para estimar los parámetros de la GPD

XXXIX Congreso Nacional de Estadística e Investigación Operativa
2022-06 | Conference paper
Contributors: Mario M. Pizarro; Jacinto Martín; Eva L. Sanjuán; M. Isabel Parra
Source: Self-asserted source
Mario M. Pizarro

Baseline Methods for the Parameter Estimation of the Generalized Pareto Distribution

Entropy
2022-01-25 | Journal article
DOI: 10.3390/e24020178
Contributors: Jacinto Martín; María Isabel Parra; Mario Martínez Pizarro; Eva López Sanjuán
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

A Bayesian hierarchical spatial copula model

14th International Conference of the ERCIM WG on Computational and Methodological Statistics
2021 | Conference paper
Contributors: Mario M. Pizarro; M. Isabel Parra; J. Agustín García; F. Javier Acero
Source: Self-asserted source
Mario M. Pizarro

Baseline Methods for Bayesian Inference in Gumbel copula

63º World Statistics Congress Virtual 2021
2021 | Conference paper
Contributors: Mario M. Pizarro; Jacinto Martín; Eva L. Sanjuán; M. Isabel Parra
Source: Self-asserted source
Mario M. Pizarro

A Bayesian Hierarchical Spatial Copula Model: An Application to Extreme Temperatures in Extremadura (Spain)

Atmosphere
2021-07 | Journal article | Author
DOI: 10.3390/atmos12070897
Contributors: Jose Agustin Garcia; Mario M. Pizarro; Javier Acero; María Isabel Parra
Source: check_circle
Multidisciplinary Digital Publishing Institute
grade
Preferred source (of 2)‎

Development of models for surface tension of alcohols through symbolic regression

Journal of Molecular Liquids
2020 | Journal article
DOI: 10.1016/j.molliq.2019.111971
EID:

2-s2.0-85075503202

Part of ISBN:

01677322
Contributors: Sanjuán, E.L.; Parra, M.I.; Pizarro, M.M.
Source: Self-asserted source
Mario M. Pizarro via Scopus - Elsevier

Baseline Methods for Bayesian Inference in Gumbel Distribution

Entropy
2020-11-07 | Journal article
DOI: 10.3390/e22111267
Contributors: Jacinto Martín; María Isabel Parra; Mario Martínez Pizarro; Eva L. Sanjuán
Source: check_circle
Crossref
grade
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