PUBLICACIÓN

Robustness issues under imprecise beliefs and preferences

ACCEDER A LA PUBLICACIÓN: Scopus

1994 Journal of Statistical Planning and Inference

CITAS

12

DOI

10.1016/0378-3758(94)90133-3

EID

2-s2.0-38149146513

ISSN

0378-3758

AUTORES DE LA UEX

Jacinto Ramón Martín Jiménez

OTRAS PUBLICACIONES DE INTERÉS

On The Foundations Of Robust Decision Making
A New Bayesian Method For Estimation Of Value At Risk And Conditional Value At Risk
Baseline Methods For The Parameter Estimation Of The Generalized Pareto Distribution
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Baseline Methods For The Parameter Estimation Of The Generalized Pareto Distribution
A Hidden Markov Model Addressing Measurement Errors In The Response And Replicated Covariates For Continuous Nondecreasing Processes
Baseline Methods For The Parameter Estimation Of The Generalized Pareto Distribution
A Hidden Markov Model Addressing Measurement Errors In The Response And Replicated Covariates For Continuous Nondecreasing Processes
Baseline Methods For Bayesian Inference In Gumbel Distribution
A Hidden Markov Model Addressing Measurement Errors In The Response And Replicated Covariates For Continuous Nondecreasing Processes
Baseline Methods For Bayesian Inference In Gumbel Distribution
A Bayesian Approach For Misclassified Ordinal Response Data
Baseline Methods For Bayesian Inference In Gumbel Distribution
A Bayesian Approach For Misclassified Ordinal Response Data
A Bayesian Decision Analysis Approach To Assess Voice Disorder Risks By Using Acoustic Features
A Bayesian Approach For Misclassified Ordinal Response Data
A Bayesian Decision Analysis Approach To Assess Voice Disorder Risks By Using Acoustic Features
Skewed Link-Based Regression Models For Misclassified Binary Data
A Bayesian Decision Analysis Approach To Assess Voice Disorder Risks By Using Acoustic Features
Skewed Link-Based Regression Models For Misclassified Binary Data
A New Asymmetric Link-Based Binary Regression Model To Detect Parkinson's Disease By Using Replicated Voice Recordings
Skewed Link-Based Regression Models For Misclassified Binary Data
A New Asymmetric Link-Based Binary Regression Model To Detect Parkinson's Disease By Using Replicated Voice Recordings
A Bayesian Hierarchical Spatio-Temporal Model For Extreme Rainfall In Extremadura (Spain)
A New Asymmetric Link-Based Binary Regression Model To Detect Parkinson's Disease By Using Replicated Voice Recordings
A Bayesian Hierarchical Spatio-Temporal Model For Extreme Rainfall In Extremadura (Spain)
A Two-Stage Variable Selection And Classification Approach For Parkinson's Disease Detection By Using Voice Recording Replications
A Bayesian Hierarchical Spatio-Temporal Model For Extreme Rainfall In Extremadura (Spain)
A Two-Stage Variable Selection And Classification Approach For Parkinson's Disease Detection By Using Voice Recording Replications
Addressing Voice Recording Replications For Tracking Parkinson’s Disease Progression
A Two-Stage Variable Selection And Classification Approach For Parkinson's Disease Detection By Using Voice Recording Replications
Addressing Voice Recording Replications For Tracking Parkinson’s Disease Progression
Addressing Voice Recording Replications For Parkinson's Disease Detection
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A Bayesian Negotiation Model For Quality And Price In A Multi-Consumer Context
Addressing Voice Recording Replications For Parkinson's Disease Detection
A Bayesian Negotiation Model For Quality And Price In A Multi-Consumer Context
Bayesian Analysis Of Some Models That Use The Asymmetric Exponential Power Distribution
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Bayesian Analysis Of Some Models That Use The Asymmetric Exponential Power Distribution
A Robust Bayesian Approach To An Optimal Replacement Policy For Gas Pipelines
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A Robust Bayesian Approach To An Optimal Replacement Policy For Gas Pipelines
A Latent Variable-Based Bayesian Regression To Address Recording Replications In Parkinson's Disease
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A Latent Variable-Based Bayesian Regression To Address Recording Replications In Parkinson's Disease
Adversarial Life Testing: A Bayesian Negotiation Model
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Addressing Misclassification For Binary Data: Probit And T-Link Regressions
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Addressing Misclassification For Binary Data: Probit And T-Link Regressions
Bayesian Binary Regression With Exponential Power Link
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Bayesian Binary Regression With Exponential Power Link
Computer-Aided Diagnosis System: A Bayesian Hybrid Classification Method
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Computer-Aided Diagnosis System: A Bayesian Hybrid Classification Method
Bayesian Supervised Image Classification Based On A Pairwise Comparison Method
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Bayesian Supervised Image Classification Based On A Pairwise Comparison Method
A Bayesian Approach To Aggregate Experts' Initial Information
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A Bayesian Approach To Aggregate Experts' Initial Information
Log-Linear Pool To Combine Prior Distributions: A Suggestion For A Calibration-Based Approach
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Log-Linear Pool To Combine Prior Distributions: A Suggestion For A Calibration-Based Approach
Prácticas De Control Digital De Convertidores De Potencia Emulados Con Amplificadores Operacionales
Log-Linear Pool To Combine Prior Distributions: A Suggestion For A Calibration-Based Approach
Prácticas De Control Digital De Convertidores De Potencia Emulados Con Amplificadores Operacionales
New Approaches To Compute Bayes Factor In Finite Mixture Models
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New Approaches To Compute Bayes Factor In Finite Mixture Models
Merging Experts' Opinions: A Bayesian Hierarchical Model With Mixture Of Prior Distributions
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Merging Experts' Opinions: A Bayesian Hierarchical Model With Mixture Of Prior Distributions
A Perceptual Similarity Method By Pairwise Comparison In A Medical Image Case
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A Perceptual Similarity Method By Pairwise Comparison In A Medical Image Case
A Note On The Prior Parameter Choice In Finite Mixture Models Of Distributions From Exponential Families
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A Note On The Prior Parameter Choice In Finite Mixture Models Of Distributions From Exponential Families
Combinando Opiniones De Expertos Mediante Mixturas De Distribuciones A Priori
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Combinando Opiniones De Expertos Mediante Mixturas De Distribuciones A Priori
Análisis Bayesiano De Datos Mal Clasificados En Presencia De Covariables
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Inference On Exponential Families With Mixture Of Prior Distributions
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Inference On Exponential Families With Mixture Of Prior Distributions
Local Parametric Sensitivity For Mixture Models Of Lifetime Distributions
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Local Parametric Sensitivity For Mixture Models Of Lifetime Distributions
Bayesian Analysis Of A Generalized Lognormal Distribution
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Bayesian Analysis Of A Generalized Lognormal Distribution
Bayesian Robustness For Decision Making Problems: Applications In Medical Contexts
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Optimal Actions In Problems With Convex Loss Functions
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Optimal Actions In Problems With Convex Loss Functions
Lp Loss Functions: A Robust Bayesian Approach
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Lp Loss Functions: A Robust Bayesian Approach
Modeling Experts' Opinions By Using Bayesian Mixture Models For A Subclass Of The Exponential Family
Lp Loss Functions: A Robust Bayesian Approach
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A Logistic Regression-Based Pairwise Comparison Method To Aggregate Preferences
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Efficient Generation Of Random Vectors By Using The Ratio-Of-Uniforms Method With Ellipsoidal Envelopes
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Efficient Generation Of Random Vectors By Using The Ratio-Of-Uniforms Method With Ellipsoidal Envelopes
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Non-Parametric Bayesian Estimation For Multitype Branching Processes Through Simulation-Based Methods
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Mcmc-Based Local Parametric Sensitivity Estimations
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Sensitivity Estimations For Bayesian Inference Models Solved By Mcmc Methods
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Sensitivity Estimations For Bayesian Inference Models Solved By Mcmc Methods
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Effects Of Egg Bath And Daily Removal Of Dead Eggs On Hatching Success And Production Of Stage 2 Juveniles During Artificial Incubation In Noble Crayfish (Astacus Astacus L.)
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Effects Of Egg Bath And Daily Removal Of Dead Eggs On Hatching Success And Production Of Stage 2 Juveniles During Artificial Incubation In Noble Crayfish (Astacus Astacus L.)
Robust Bayesian Analysis
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Robust Bayesian Analysis
Approximating Nondominated Sets In Continuous Multiobjective Optimization Problems
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Quasi-Random Sampling Importance Resampling
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Approximate Solutions To Semi Markov Decision Processes Through Markov Chain Montecarlo Methods
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Simulación Hacia Adelante Ponderada En Diseños Secuenciales Bayesianos
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Análisis De Sensibilidad Para Familias Exponenciales De Distribuciones
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Análisis De Sensibilidad Para Familias Exponenciales De Distribuciones
Logistic Regression For Simulating Damage Occurrence On A Fruit Grading Line
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Joint Sensitivity In Bayesian Decision Theory
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Optimal Alternative Roustnesss In Bayesian Decision Theory
Joint Sensitivity In Bayesian Decision Theory
Optimal Alternative Roustnesss In Bayesian Decision Theory
Uncertainty In Beliefs And Preferences: Conditions For Optimal Alternatives
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Aproximación De Distribuciones A Posteriori Utilizando El Método De Cociente De Uniformes
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Estimación Bayesiana De Una Cónica
Simulación De Una Línea De Clasificación De Frutas
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Simulación De Una Línea De Clasificación De Frutas
Computing Efficient Sets In Bayesian Decision Problems
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Computing Efficient Sets In Bayesian Decision Problems
Aproximación De La Moda De Distribuciones Multidimensionales Continuas Utilizando Recorrido Simulado
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El Conjunto Eficiente En Robustez Bayesiana
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Bayesian Forecasting For Accident Proneness Evaluation
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Intelligent Decision Support For Reservoir Operations
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Sensitivity Analysis In Statistical Decision Theory: A Decision Analytic View
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Bayres: A System For Stochastic Multiobjective Reservoir Operations
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A New Bayesian Method For Estimation Of Value At Risk And Conditional Value At Risk
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