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Jacinto Martín
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- affiliation: University of Extremadura, Badajoz, Spain
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2020 – today
- 2022
- [j26]Jacinto Martín, María Isabel Parra, Mario Martínez Pizarro, Eva L. Sanjuán:
Baseline Methods for the Parameter Estimation of the Generalized Pareto Distribution. Entropy 24(2): 178 (2022) - 2020
- [j25]Jacinto Martín, María Isabel Parra, Mario Martínez Pizarro, Eva L. Sanjuán:
Baseline Methods for Bayesian Inference in Gumbel Distribution. Entropy 22(11): 1267 (2020)
2010 – 2019
- 2018
- [c6]Lizbeth Naranjo, Carlos J. Pérez, Jacinto Martín, Fernando Calle-Alonso:
A New Asymmetric Link-Based Binary Regression Model to Detect Parkinson's Disease by Using Replicated Voice Recordings. EUSIPCO 2018: 1182-1186 - 2017
- [j24]Lizbeth Naranjo, Carlos J. Pérez, Jacinto Martín, Yolanda Campos-Roca:
A two-stage variable selection and classification approach for Parkinson's disease detection by using voice recording replications. Comput. Methods Programs Biomed. 142: 147-156 (2017) - [j23]Lizbeth Naranjo, Carlos J. Pérez, Jacinto Martín:
Addressing voice recording replications for tracking Parkinson's disease progression. Medical Biol. Eng. Comput. 55(3): 365-373 (2017) - 2016
- [j22]Lizbeth Naranjo, Carlos J. Pérez, Yolanda Campos-Roca, Jacinto Martín:
Addressing voice recording replications for Parkinson's disease detection. Expert Syst. Appl. 46: 286-292 (2016) - [j21]María Jesús Rufo, Jacinto Martín, C. J. Pérez:
A Bayesian negotiation model for quality and price in a multi-consumer context. Reliab. Eng. Syst. Saf. 147: 132-141 (2016) - 2015
- [j20]José Pablo Arias-Nicolás, Jacinto Martín, Fabrizio Ruggeri, Alfonso Suárez-Llorens:
A Robust Bayesian Approach to an Optimal Replacement Policy for Gas Pipelines. Entropy 17(6): 3656-3678 (2015) - [j19]Lizbeth Naranjo, Carlos J. Pérez, Jacinto Martín:
Bayesian analysis of some models that use the asymmetric exponential power distribution. Stat. Comput. 25(3): 497-514 (2015) - 2014
- [j18]Lizbeth Naranjo, Jacinto Martín, Carlos J. Pérez:
Bayesian binary regression with exponential power link. Comput. Stat. Data Anal. 71: 464-476 (2014) - [j17]María Jesús Rufo, Jacinto Martín, C. J. Pérez:
Adversarial life testing: A Bayesian negotiation model. Reliab. Eng. Syst. Saf. 131: 118-125 (2014) - [c5]Carlos J. Pérez, Lizbeth Naranjo, Jacinto Martín, Yolanda Campos-Roca:
A latent variable-based Bayesian regression to address recording replications in Parkinson's Disease. EUSIPCO 2014: 1447-1451 - 2013
- [j16]Fernando Calle-Alonso, C. J. Pérez, J. P. Arias-Nicolás, Jacinto Martín:
Computer-aided diagnosis system: A Bayesian hybrid classification method. Comput. Methods Programs Biomed. 112(1): 104-113 (2013) - 2012
- [c4]Fernando Calle-Alonso, J. P. Arias-Nicolás, C. J. Pérez, Jacinto Martín:
Bayesian Supervised Image Classification based on a Pairwise Comparison Method. ICPRAM (1) 2012: 467-473 - 2010
- [j15]María Jesús Rufo, Jacinto Martín, C. J. Pérez:
New approaches to compute Bayes factor in finite mixture models. Comput. Stat. Data Anal. 54(12): 3324-3335 (2010) - [j14]María Jesús Rufo, Jacinto Martín, C. J. Pérez:
A note on the prior parameter choice in finite mixture models of distributions from exponential families. Comput. Stat. 25(3): 537-550 (2010) - [j13]María Jesús Rufo, C. J. Pérez, Jacinto Martín:
Merging experts' opinions: A Bayesian hierarchical model with mixture of prior distributions. Eur. J. Oper. Res. 207(1): 284-289 (2010) - [j12]Maria Luisa Durán, Pablo García Rodríguez, José Pablo Arias-Nicolás, Jacinto Martín, Carlos Disdier:
A perceptual similarity method by pairwise comparison in a medical image case. Mach. Vis. Appl. 21(6): 865-877 (2010)
2000 – 2009
- 2009
- [j11]Jacinto Martín, C. J. Pérez:
Bayesian analysis of a generalized lognormal distribution. Comput. Stat. Data Anal. 53(4): 1377-1387 (2009) - [j10]María Jesús Rufo, Jacinto Martín, C. J. Pérez:
Inference on exponential families with mixture of prior distributions. Comput. Stat. Data Anal. 53(9): 3271-3280 (2009) - [j9]José Pablo Arias-Nicolás, Jacinto Martín, Fabrizio Ruggeri, Alfonso Suárez-Llorens:
Optimal actions in problems with convex loss functions. Int. J. Approx. Reason. 50(2): 303-314 (2009) - [j8]Jacinto Martín, C. J. Pérez, Peter Müller:
Bayesian robustness for decision making problems: Applications in medical contexts. Int. J. Approx. Reason. 50(2): 315-323 (2009) - [j7]María Jesús Rufo, C. J. Pérez, Jacinto Martín:
Local parametric sensitivity for mixture models of lifetime distributions. Reliab. Eng. Syst. Saf. 94(7): 1238-1244 (2009) - 2008
- [j6]Miguel González, Jacinto Martín, Rodrigo Martínez, Manuel Mota:
Non-parametric Bayesian estimation for multitype branching processes through simulation-based methods. Comput. Stat. Data Anal. 52(3): 1281-1291 (2008) - [j5]C. J. Pérez, Jacinto Martín, C. Rojano, Francisco Javier Girón:
Efficient generation of random vectors by using the ratio-of-uniforms method with ellipsoidal envelopes. Stat. Comput. 18(2): 209-217 (2008) - 2007
- [j4]María Jesús Rufo, C. J. Pérez, Jacinto Martín:
Bayesian analysis of finite mixtures of multinomial and negative-multinomial distributions. Comput. Stat. Data Anal. 51(11): 5452-5466 (2007) - 2006
- [j3]C. J. Pérez, Jacinto Martín, María Jesús Rufo:
MCMC-based local parametric sensitivity estimations. Comput. Stat. Data Anal. 51(2): 823-835 (2006) - [j2]María Jesús Rufo, Jacinto Martín, Carlos J. Pérez:
Bayesian analysis of finite mixture models of distributions from exponential families. Comput. Stat. 21(3-4): 621-637 (2006) - [j1]C. J. Pérez, Jacinto Martín, María Jesús Rufo:
Sensitivity estimations for Bayesian inference models solved by MCMC methods. Reliab. Eng. Syst. Saf. 91(10-11): 1310-1314 (2006) - 2003
- [c3]Arminda Moreno-Díaz, Miguel A. Virto, Jacinto Martín, David Ríos Insua:
Approximate Solutions to Semi Markov Decision Processes through Markov Chain Montecarlo Methods. EUROCAST 2003: 151-162 - [c2]José Jablo Arias, Javier Hernández, Jacinto Martín, A. Suárez, Alfonso Suárez-Llorens:
Bayesian Robustness with Quantile Loss Functions. ISIPTA 2003: 16-30 - 2002
- [c1]Miguel A. Virto, Jacinto Martín, David Ríos Insua, Arminda Moreno-Díaz:
Approximate Solutions of Complex Influence Diagrams through MCMC Methods. Probabilistic Graphical Models 2002
Coauthor Index
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