PUBLICACIÓN

Optimal alternative roustnesss in Bayesian Decision Theory

ACCEDER A LA PUBLICACIÓN: Dialnet

Fabrizio Ruggeri;Jacinto Martín Jiménez, David Ríos Insua

2003 Revista de la Real Academia de Ciencias Exactas, Físicas y Naturales. Serie A: Matemáticas ( RACSAM )

ISSN

1578-7303

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
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
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
Addressing Voice Recording Replications For Tracking Parkinson’s Disease Progression
Addressing Voice Recording Replications For Parkinson's Disease Detection
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
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
A Robust Bayesian Approach To An Optimal Replacement Policy For Gas Pipelines
Bayesian Analysis Of Some Models That Use The Asymmetric Exponential Power Distribution
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
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
Adversarial Life Testing: A Bayesian Negotiation Model
A Latent Variable-Based Bayesian Regression To Address Recording Replications In Parkinson's Disease
Adversarial Life Testing: A Bayesian Negotiation Model
Addressing Misclassification For Binary Data: Probit And T-Link Regressions
Adversarial Life Testing: A Bayesian Negotiation Model
Addressing Misclassification For Binary Data: Probit And T-Link Regressions
Bayesian Binary Regression With Exponential Power Link
Addressing Misclassification For Binary Data: Probit And T-Link Regressions
Bayesian Binary Regression With Exponential Power Link
Computer-Aided Diagnosis System: A Bayesian Hybrid Classification Method
Bayesian Binary Regression With Exponential Power Link
Computer-Aided Diagnosis System: A Bayesian Hybrid Classification Method
Bayesian Supervised Image Classification Based On A Pairwise Comparison Method
Computer-Aided Diagnosis System: A Bayesian Hybrid Classification Method
Bayesian Supervised Image Classification Based On A Pairwise Comparison Method
A Bayesian Approach To Aggregate Experts' Initial Information
Bayesian Supervised Image Classification Based On A Pairwise Comparison Method
A Bayesian Approach To Aggregate Experts' Initial Information
Log-Linear Pool To Combine Prior Distributions: A Suggestion For A Calibration-Based Approach
A Bayesian Approach To Aggregate Experts' Initial Information
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
Prácticas De Control Digital De Convertidores De Potencia Emulados Con Amplificadores Operacionales
New Approaches To Compute Bayes Factor In Finite Mixture Models
Merging Experts' Opinions: A Bayesian Hierarchical Model With Mixture Of Prior Distributions
New Approaches To Compute Bayes Factor In Finite Mixture Models
Merging Experts' Opinions: A Bayesian Hierarchical Model With Mixture Of Prior Distributions
A Perceptual Similarity Method By Pairwise Comparison In A Medical Image Case
Merging Experts' Opinions: A Bayesian Hierarchical Model With Mixture Of Prior Distributions
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
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
Combinando Opiniones De Expertos Mediante Mixturas De Distribuciones A Priori
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
Análisis Bayesiano De Datos Mal Clasificados En Presencia De Covariables
Combinando Opiniones De Expertos Mediante Mixturas De Distribuciones A Priori
Análisis Bayesiano De Datos Mal Clasificados En Presencia De Covariables
Inference On Exponential Families With Mixture Of Prior Distributions
Análisis Bayesiano De Datos Mal Clasificados En Presencia De Covariables
Inference On Exponential Families With Mixture Of Prior Distributions
Local Parametric Sensitivity For Mixture Models Of Lifetime Distributions
Inference On Exponential Families With Mixture Of Prior Distributions
Local Parametric Sensitivity For Mixture Models Of Lifetime Distributions
Bayesian Analysis Of A Generalized Lognormal Distribution
Local Parametric Sensitivity For Mixture Models Of Lifetime Distributions
Bayesian Analysis Of A Generalized Lognormal Distribution
Bayesian Robustness For Decision Making Problems: Applications In Medical Contexts
Bayesian Analysis Of A Generalized Lognormal Distribution
Bayesian Robustness For Decision Making Problems: Applications In Medical Contexts
Optimal Actions In Problems With Convex Loss Functions
Bayesian Robustness For Decision Making Problems: Applications In Medical Contexts
Optimal Actions In Problems With Convex Loss Functions
Lp Loss Functions: A Robust Bayesian Approach
Optimal Actions In Problems With Convex Loss Functions
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
Modeling Experts' Opinions By Using Bayesian Mixture Models For A Subclass Of The Exponential Family
A Logistic Regression-Based Pairwise Comparison Method To Aggregate Preferences
Modeling Experts' Opinions By Using Bayesian Mixture Models For A Subclass Of The Exponential Family
A Logistic Regression-Based Pairwise Comparison Method To Aggregate Preferences
Efficient Generation Of Random Vectors By Using The Ratio-Of-Uniforms Method With Ellipsoidal Envelopes
A Logistic Regression-Based Pairwise Comparison Method To Aggregate Preferences
Efficient Generation Of Random Vectors By Using The Ratio-Of-Uniforms Method With Ellipsoidal Envelopes
A Bayesian Model For Multinomial Sampling With Misclassified Data
Efficient Generation Of Random Vectors By Using The Ratio-Of-Uniforms Method With Ellipsoidal Envelopes
A Bayesian Model For Multinomial Sampling With Misclassified Data
Non-Parametric Bayesian Estimation For Multitype Branching Processes Through Simulation-Based Methods
A Bayesian Model For Multinomial Sampling With Misclassified Data
Non-Parametric Bayesian Estimation For Multitype Branching Processes Through Simulation-Based Methods
Una Generalización De La Lognormal: Ajuste De Tiempos De Vida
Non-Parametric Bayesian Estimation For Multitype Branching Processes Through Simulation-Based Methods
Una Generalización De La Lognormal: Ajuste De Tiempos De Vida
Bayesian Analysis Of Finite Mixtures Of Multinomial And Negative-Multinomial Distributions
Una Generalización De La Lognormal: Ajuste De Tiempos De Vida
Bayesian Analysis Of Finite Mixtures Of Multinomial And Negative-Multinomial Distributions
Bayesian Analysis Of Finite Mixture Models Of Distributions From Exponential Families
Bayesian Analysis Of Finite Mixtures Of Multinomial And Negative-Multinomial Distributions
Bayesian Analysis Of Finite Mixture Models Of Distributions From Exponential Families
Mcmc-Based Local Parametric Sensitivity Estimations
Bayesian Analysis Of Finite Mixture Models Of Distributions From Exponential Families
Mcmc-Based Local Parametric Sensitivity Estimations
Sensitivity Estimations For Bayesian Inference Models Solved By Mcmc Methods
Mcmc-Based Local Parametric Sensitivity Estimations
Sensitivity Estimations For Bayesian Inference Models Solved By Mcmc Methods
The Non Dominated Set In Bayesian Decision Problems With Convex Loss Functions
Sensitivity Estimations For Bayesian Inference Models Solved By Mcmc Methods
The Non Dominated Set In Bayesian Decision Problems With Convex Loss Functions
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.)
The Non Dominated Set In Bayesian Decision Problems With Convex Loss Functions
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
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
Approximating Nondominated Sets In Continuous Multiobjective Optimization Problems
Robust Bayesian Analysis
Approximating Nondominated Sets In Continuous Multiobjective Optimization Problems
Quasi-Random Sampling Importance Resampling
Approximating Nondominated Sets In Continuous Multiobjective Optimization Problems
Quasi-Random Sampling Importance Resampling
Approximate Solutions To Semi Markov Decision Processes Through Markov Chain Montecarlo Methods
Quasi-Random Sampling Importance Resampling
Approximate Solutions To Semi Markov Decision Processes Through Markov Chain Montecarlo Methods
Approximate Solutions To Semi Markov Decision Processes Through Markov Chain Montecarlo Methods
Approximate Solutions To Semi Markov Decision Processes Through Markov Chain Montecarlo Methods
Approximate Solutions To Semi Markov Decision Processes Through Markov Chain Montecarlo Methods
Simulación Hacia Adelante Ponderada En Diseños Secuenciales Bayesianos
Approximate Solutions To Semi Markov Decision Processes Through Markov Chain Montecarlo Methods
Simulación Hacia Adelante Ponderada En Diseños Secuenciales Bayesianos
Análisis De Sensibilidad Para Familias Exponenciales De Distribuciones
Simulación Hacia Adelante Ponderada En Diseños Secuenciales Bayesianos
Análisis De Sensibilidad Para Familias Exponenciales De Distribuciones
Logistic Regression For Simulating Damage Occurrence On A Fruit Grading Line
Análisis De Sensibilidad Para Familias Exponenciales De Distribuciones
Logistic Regression For Simulating Damage Occurrence On A Fruit Grading Line
Joint Sensitivity In Bayesian Decision Theory
Logistic Regression For Simulating Damage Occurrence On A Fruit Grading Line
Joint Sensitivity In Bayesian Decision Theory
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
Optimal Alternative Roustnesss In Bayesian Decision Theory
Uncertainty In Beliefs And Preferences: Conditions For Optimal Alternatives
Aproximación De Distribuciones A Posteriori Utilizando El Método De Cociente De Uniformes
Uncertainty In Beliefs And Preferences: Conditions For Optimal Alternatives
Aproximación De Distribuciones A Posteriori Utilizando El Método De Cociente De Uniformes
Robustez Bayesiana Con Funciones De Pérdida Convexa
Aproximación De Distribuciones A Posteriori Utilizando El Método De Cociente De Uniformes
Robustez Bayesiana Con Funciones De Pérdida Convexa
Una Aproximación Al Problema Del Corte En 2 Dimensiones Con El Algoritmo De Recocido Simulado
Robustez Bayesiana Con Funciones De Pérdida Convexa
Una Aproximación Al Problema Del Corte En 2 Dimensiones Con El Algoritmo De Recocido Simulado
Estimación Bayesiana De Una Cónica
Una Aproximación Al Problema Del Corte En 2 Dimensiones Con El Algoritmo De Recocido Simulado
Estimación Bayesiana De Una Cónica
Simulación De Una Línea De Clasificación De Frutas
Estimación Bayesiana De Una Cónica
Simulación De Una Línea De Clasificación De Frutas
Computing Efficient Sets In Bayesian Decision Problems
Simulación De Una Línea De Clasificación De Frutas
Computing Efficient Sets In Bayesian Decision Problems
Aproximación De La Moda De Distribuciones Multidimensionales Continuas Utilizando Recorrido Simulado
Computing Efficient Sets In Bayesian Decision Problems
Aproximación De La Moda De Distribuciones Multidimensionales Continuas Utilizando Recorrido Simulado
El Conjunto Eficiente En Robustez Bayesiana
Aproximación De La Moda De Distribuciones Multidimensionales Continuas Utilizando Recorrido Simulado
El Conjunto Eficiente En Robustez Bayesiana
Bayesian Forecasting For Accident Proneness Evaluation
El Conjunto Eficiente En Robustez Bayesiana
Bayesian Forecasting For Accident Proneness Evaluation
Intelligent Decision Support For Reservoir Operations
Bayesian Forecasting For Accident Proneness Evaluation
Intelligent Decision Support For Reservoir Operations
Sensitivity Analysis In Statistical Decision Theory: A Decision Analytic View
Intelligent Decision Support For Reservoir Operations
Sensitivity Analysis In Statistical Decision Theory: A Decision Analytic View
Bayres: A System For Stochastic Multiobjective Reservoir Operations
Sensitivity Analysis In Statistical Decision Theory: A Decision Analytic View
Bayres: A System For Stochastic Multiobjective Reservoir Operations
Simulación: Métodos Y Aplicaciones
Bayres: A System For Stochastic Multiobjective Reservoir Operations
Simulación: Métodos Y Aplicaciones
Local Sensitivity Analysis In Bayesian Decision Theory
Simulación: Métodos Y Aplicaciones
Local Sensitivity Analysis In Bayesian Decision Theory
An Overview Of Robust Bayesian Analysis
Local Sensitivity Analysis In Bayesian Decision Theory
An Overview Of Robust Bayesian Analysis
Robustness Issues Under Imprecise Beliefs And Preferences
An Overview Of Robust Bayesian Analysis
Robustness Issues Under Imprecise Beliefs And Preferences
On The Foundations Of Robust Decision Making
Robustness Issues Under Imprecise Beliefs And Preferences
On The Foundations Of Robust Decision Making
A New Bayesian Method For Estimation Of Value At Risk And Conditional Value At Risk
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