Jacinto Martín

Orcid: 0000-0002-4028-9668

Affiliations:
  • University of Extremadura, Badajoz, Spain


According to our database1, Jacinto Martín authored at least 32 papers between 2002 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2022
Baseline Methods for the Parameter Estimation of the Generalized Pareto Distribution.
Entropy, 2022

2020
Baseline Methods for Bayesian Inference in Gumbel Distribution.
Entropy, 2020

2018
A New Asymmetric Link-Based Binary Regression Model to Detect Parkinson's Disease by Using Replicated Voice Recordings.
Proceedings of the 26th European Signal Processing Conference, 2018

2017
Addressing voice recording replications for tracking Parkinson's disease progression.
Medical Biol. Eng. Comput., 2017

A two-stage variable selection and classification approach for Parkinson's disease detection by using voice recording replications.
Comput. Methods Programs Biomed., 2017

2016
A Bayesian negotiation model for quality and price in a multi-consumer context.
Reliab. Eng. Syst. Saf., 2016

Addressing voice recording replications for Parkinson's disease detection.
Expert Syst. Appl., 2016

2015
Bayesian analysis of some models that use the asymmetric exponential power distribution.
Stat. Comput., 2015

A Robust Bayesian Approach to an Optimal Replacement Policy for Gas Pipelines.
Entropy, 2015

2014
Adversarial life testing: A Bayesian negotiation model.
Reliab. Eng. Syst. Saf., 2014

Bayesian binary regression with exponential power link.
Comput. Stat. Data Anal., 2014

A latent variable-based Bayesian regression to address recording replications in Parkinson's Disease.
Proceedings of the 22nd European Signal Processing Conference, 2014

2013
Computer-aided diagnosis system: A Bayesian hybrid classification method.
Comput. Methods Programs Biomed., 2013

2012
Bayesian Supervised Image Classification based on a Pairwise Comparison Method.
Proceedings of the ICPRAM 2012, 2012

2010
A perceptual similarity method by pairwise comparison in a medical image case.
Mach. Vis. Appl., 2010

Merging experts' opinions: A Bayesian hierarchical model with mixture of prior distributions.
Eur. J. Oper. Res., 2010

A note on the prior parameter choice in finite mixture models of distributions from exponential families.
Comput. Stat., 2010

New approaches to compute Bayes factor in finite mixture models.
Comput. Stat. Data Anal., 2010

2009
Local parametric sensitivity for mixture models of lifetime distributions.
Reliab. Eng. Syst. Saf., 2009

Bayesian robustness for decision making problems: Applications in medical contexts.
Int. J. Approx. Reason., 2009

Optimal actions in problems with convex loss functions.
Int. J. Approx. Reason., 2009

Inference on exponential families with mixture of prior distributions.
Comput. Stat. Data Anal., 2009

Bayesian analysis of a generalized lognormal distribution.
Comput. Stat. Data Anal., 2009

2008
Efficient generation of random vectors by using the ratio-of-uniforms method with ellipsoidal envelopes.
Stat. Comput., 2008

Non-parametric Bayesian estimation for multitype branching processes through simulation-based methods.
Comput. Stat. Data Anal., 2008

2007
Bayesian analysis of finite mixtures of multinomial and negative-multinomial distributions.
Comput. Stat. Data Anal., 2007

2006
Sensitivity estimations for Bayesian inference models solved by MCMC methods.
Reliab. Eng. Syst. Saf., 2006

Bayesian analysis of finite mixture models of distributions from exponential families.
Comput. Stat., 2006

MCMC-based local parametric sensitivity estimations.
Comput. Stat. Data Anal., 2006

2003
Bayesian Robustness with Quantile Loss Functions.
Proceedings of the ISIPTA '03, 2003

Approximate Solutions to Semi Markov Decision Processes through Markov Chain Montecarlo Methods.
Proceedings of the Computer Aided Systems Theory, 2003

2002
Approximate Solutions of Complex Influence Diagrams through MCMC Methods.
Proceedings of the First European Workshop on Probabilistic Graphical Models, 6-8 November - 2002, 2002


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