Jacinto Martín
Jacinto Martín
Other namesJacinto Martín Jiménez
Profesor de Estadística e Investigación Operativa
Verified email at
Cited by
Cited by
An overview of robust Bayesian analysis
JO Berger, E Moreno, LR Pericchi, MJ Bayarri, JM Bernardo, JA Cano, ...
Test 3 (1), 5-124, 1994
Addressing voice recording replications for Parkinson’s disease detection
L Naranjo, CJ Perez, Y Campos-Roca, J Martin
Expert Systems with Applications 46, 286-292, 2016
A two-stage variable selection and classification approach for Parkinson’s disease detection by using voice recording replications
L Naranjo, CJ Perez, J Martin, Y Campos-Roca
Computer methods and programs in biomedicine 142, 147-156, 2017
Simulación: métodos y aplicaciones
DR Insua, SR Insua, JM Jiménez
Ra-ma, 1997
Simulación. Métodos y aplicaciones
D Ríos Insua, S Ríos Insua, J Martín Jiménez, A Jiménez Martín
Alfaomega. México, 2009
Computer-aided diagnosis system: A Bayesian hybrid classification method
F Calle-Alonso, CJ Pérez, JP Arias-Nicolás, J Martín
Computer methods and programs in biomedicine 112 (1), 104-113, 2013
Bayesian analysis of a generalized lognormal distribution
J Martín, CJ Pérez
Computational Statistics & Data Analysis 53 (4), 1377-1387, 2009
Robust bayesian analysis
F Ruggeri, DR Insua, J Martín
Handbook of statistics 25, 623-667, 2005
Log-linear pool to combine prior distributions: A suggestion for a calibration-based approach
MJ Rufo, J Martin, CJ Pérez
Misclassified multinomial data: a Bayesian approach
CJ Pérez, FJ Girón, J Martín, M Ruiz, C Rojano
RACSAM 101 (1), 71-80, 2007
Logistic regression for simulating damage occurrence on a fruit grading line
C Bielza, P Barreiro, MI Rodrıguez-Galiano, J Martın
Computers and electronics in agriculture 39 (2), 95-113, 2003
Bayesian forecasting for accident proneness evaluation
SR Insua, J Martin, DR Insua, F Ruggeri
Scandinavian Actuarial Journal 1999 (2), 134-156, 1999
Issues in Bayesian loss robustness
J Martín, DR Insua, F Ruggeri
Sankhyā: The Indian Journal of Statistics, Series A, 405-417, 1998
Diagnosis and tracking of Parkinson’s disease by using automatically extracted acoustic features
C Perez, Y Campos-Roca, L Naranjo, J Martin
J Alzheimers Dis Parkinsonism 6 (260), 2161-0460, 2016
Non-parametric Bayesian estimation for multitype branching processes through simulation-based methods
M González, J Martin, R Martinez, M Mota
Computational Statistics & Data Analysis 52 (3), 1281-1291, 2008
Programación lineal y aplicaciones
S Rios Insua, D Ríos Insua, A MATEOS, J MARTÍN
RAMA, Madrid, España, 1998
Optimal actions in problems with convex loss functions
JP Arias-Nicolás, J Martín, F Ruggeri, A Suárez-Llorens
International journal of approximate reasoning 50 (2), 303-314, 2009
MCMC-based local parametric sensitivity estimations
CJ Pérez, J Martín, MJ Rufo
Computational Statistics & Data Analysis 51 (2), 823-835, 2006
Addressing voice recording replications for tracking Parkinson’s disease progression
L Naranjo, CJ Pérez, J Martín
Medical & biological engineering & computing 55, 365-373, 2017
Bayesian sensitivity analysis: a review
D Rios Insua, F Ruggeri, J Martin
Handbook on sensitivity analysis,(A. Saltelli et al. eds.). New York: Wiley, 2000
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