PUBLICACIÓN

A hidden markov model to address measurement errors in ordinal response scale and non-decreasing process

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ACCEDER A LA PUBLICACIÓN: Scopus Orcid

Naranjo L., Esparza L.J.R., Perez C.J.

2020 Mathematics

Mathematics (miscellaneous) (Q2)

JCR: 2.258

SJR: 0.495

CITAS

5

DOI

10.3390/math8040622

EID

2-s2.0-85084415672

EISSN

2227-7390

AUTORES DE LA UEX

Carlos Javier Pérez Sánchez

OTRAS PUBLICACIONES DE INTERÉS

Simulación Utilizando El Muestreo Gibbs
Enhancing Noise Robustness Of Automatic Parkinson's Disease Detection In Diadochokinesis Tests Using Multicondition Training
A Data Ensemble-Based Approach For Detecting Vocal Disorders Using Replicated Acoustic Biomarkers From Electroglottography
Enhancing Noise Robustness Of Automatic Parkinson's Disease Detection In Diadochokinesis Tests Using Multicondition Training
A Data Ensemble-Based Approach For Detecting Vocal Disorders Using Replicated Acoustic Biomarkers From Electroglottography
Time Series Classification Of Raw Voice Waveforms For Parkinson's Disease Detection Using Generative Adversarial Network-Driven Data Augmentation
A Data Ensemble-Based Approach For Detecting Vocal Disorders Using Replicated Acoustic Biomarkers From Electroglottography
Time Series Classification Of Raw Voice Waveforms For Parkinson's Disease Detection Using Generative Adversarial Network-Driven Data Augmentation
A Keyword Extraction Model Study In The Movie Domain With Synopsis And Reviews
Time Series Classification Of Raw Voice Waveforms For Parkinson's Disease Detection Using Generative Adversarial Network-Driven Data Augmentation
A Keyword Extraction Model Study In The Movie Domain With Synopsis And Reviews
Automatic Assignment Of Microgenres To Movies Using A Word Embedding-Based Approach
A Keyword Extraction Model Study In The Movie Domain With Synopsis And Reviews
Automatic Assignment Of Microgenres To Movies Using A Word Embedding-Based Approach
Addressing Multidimensional Highly Correlated Data For Forecasting In Precision Beekeeping
Automatic Assignment Of Microgenres To Movies Using A Word Embedding-Based Approach
Addressing Multidimensional Highly Correlated Data For Forecasting In Precision Beekeeping
An Indicator-Based Multi-Objective Variable Neighborhood Search Approach For Query-Focused Summarization
Addressing Multidimensional Highly Correlated Data For Forecasting In Precision Beekeeping
An Indicator-Based Multi-Objective Variable Neighborhood Search Approach For Query-Focused Summarization
Automatic Assignment Of Moral Foundations To Movies By Word Embedding
An Indicator-Based Multi-Objective Variable Neighborhood Search Approach For Query-Focused Summarization
Automatic Assignment Of Moral Foundations To Movies By Word Embedding
A New Multi-Objective Evolutionary Algorithm For Citation-Based Summarization: Comprehensive Analysis Of The Generated Summaries
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A Multi-Objective Artificial Bee Colony Approach For Profit-Aware Recommender Systems
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Addressing Smartphone Mismatch In Parkinson's Disease Detection Aid Systems Based On Speech
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Addressing Smartphone Mismatch In Parkinson's Disease Detection Aid Systems Based On Speech
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Addressing Smartphone Mismatch In Parkinson's Disease Detection Aid Systems Based On Speech
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A Mixed Hidden Markov Model For Multivariate Monotone Disease Processes In The Presence Of Measurement Errors
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Predicting Internal Conditions Of Beehives Using Precision Beekeeping
A Mobile-Assisted Voice Condition Analysis System For Parkinson’s Disease: Assessment Of Usability Conditions
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Sentiment-Oriented Query-Focused Text Summarization Addressed With A Multi-Objective Optimization Approach
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Replication-Based Regularization Approaches To Diagnose Reinke's Edema By Using Voice Recordings
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Addressing Topic Modeling With A Multi-Objective Optimization Approach Based On Swarm Intelligence
Replication-Based Regularization Approaches To Diagnose Reinke's Edema By Using Voice Recordings
Addressing Topic Modeling With A Multi-Objective Optimization Approach Based On Swarm Intelligence
Impact Of Noise On The Performance Of Automatic Systems For Vocal Fold Lesions Detection
Addressing Topic Modeling With A Multi-Objective Optimization Approach Based On Swarm Intelligence
Impact Of Noise On The Performance Of Automatic Systems For Vocal Fold Lesions Detection
Monitoring Parkinson's Disease Progression Based On Recorded Speech With Missing Ordinal Responses And Replicated Covariates
Impact Of Noise On The Performance Of Automatic Systems For Vocal Fold Lesions Detection
Monitoring Parkinson's Disease Progression Based On Recorded Speech With Missing Ordinal Responses And Replicated Covariates
The Impact Of Term-Weighting Schemes And Similarity Measures On Extractive Multi-Document Text Summarization
Monitoring Parkinson's Disease Progression Based On Recorded Speech With Missing Ordinal Responses And Replicated Covariates
The Impact Of Term-Weighting Schemes And Similarity Measures On Extractive Multi-Document Text Summarization
A Stage-Based Approach To Allocating Water Quality Monitoring Stations Based On The Worldqual Model: The Jubba River As A Case Study
The Impact Of Term-Weighting Schemes And Similarity Measures On Extractive Multi-Document Text Summarization
A Stage-Based Approach To Allocating Water Quality Monitoring Stations Based On The Worldqual Model: The Jubba River As A Case Study
Predicting Leaf Nitrogen Content In Olive Trees Using Hyperspectral Data For Precision Agriculture
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Multicondition Training For Noise-Robust Detection Of Benign Vocal Fold Lesions From Recorded Speech
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Multicondition Training For Noise-Robust Detection Of Benign Vocal Fold Lesions From Recorded Speech
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A Study Of Methods For Reducing The Pareto Front To A Single Solution Applied To The Extractive Multi-Document Summarization Problem
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A Study Of Methods For Reducing The Pareto Front To A Single Solution Applied To The Extractive Multi-Document Summarization Problem
A Decomposition-Based Multi-Objective Optimization Approach For Extractive Multi-Document Text Summarization
A Study Of Methods For Reducing The Pareto Front To A Single Solution Applied To The Extractive Multi-Document Summarization Problem
A Decomposition-Based Multi-Objective Optimization Approach For Extractive Multi-Document Text Summarization
Robustness Assessment Of Automatic Reinke's Edema Diagnosis Systems
A Decomposition-Based Multi-Objective Optimization Approach For Extractive Multi-Document Text Summarization
Robustness Assessment Of Automatic Reinke's Edema Diagnosis Systems
A Hidden Markov Model To Address Measurement Errors In Ordinal Response Scale And Non-Decreasing Process
Robustness Assessment Of Automatic Reinke's Edema Diagnosis Systems
A Hidden Markov Model To Address Measurement Errors In Ordinal Response Scale And Non-Decreasing Process
Experimental Analysis Of Multiple Criteria For Extractive Multi-Document Text Summarization
A Hidden Markov Model To Address Measurement Errors In Ordinal Response Scale And Non-Decreasing Process
Experimental Analysis Of Multiple Criteria For Extractive Multi-Document Text Summarization
An Acoustic-Signal-Based Preventive Program For University Lecturers’ Vocal Health
Experimental Analysis Of Multiple Criteria For Extractive Multi-Document Text Summarization
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A Bayesian Approach For Misclassified Ordinal Response Data
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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
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Skewed Link-Based Regression Models For Misclassified Binary Data
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Towards Robust Features In Voice Disease Diagnosis: Mfccs Vs. Pnccs
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Towards Robust Features In Voice Disease Diagnosis: Mfccs Vs. Pnccs
Parallelizing A Multi-Objective Optimization Approach For Extractive Multi-Document Text Summarization
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Parallelizing A Multi-Objective Optimization Approach For Extractive Multi-Document Text Summarization
A Bayesian-Network-Based Approach To Risk Analysis In Runway Excursions
Parallelizing A Multi-Objective Optimization Approach For Extractive Multi-Document Text Summarization
A Bayesian-Network-Based Approach To Risk Analysis In Runway Excursions
An Indicator-Based Multi-Objective Optimization Approach Applied To Extractive Multi-Document Text Summarization
A Bayesian-Network-Based Approach To Risk Analysis In Runway Excursions
An Indicator-Based Multi-Objective Optimization Approach Applied To Extractive Multi-Document Text Summarization
Variability And Performance Study Of The Sound Absorption Of Used Cigarette Butts
An Indicator-Based Multi-Objective Optimization Approach Applied To Extractive Multi-Document Text Summarization
Variability And Performance Study Of The Sound Absorption Of Used Cigarette Butts
Comparison Of Automatic Methods For Reducing The Pareto Front To A Single Solution Applied To Multi-Document Text Summarization
Variability And Performance Study Of The Sound Absorption Of Used Cigarette Butts
Comparison Of Automatic Methods For Reducing The Pareto Front To A Single Solution Applied To Multi-Document Text Summarization
Identifying Key Players In Large Social Networks By Using A Multi-Objective Artificial Bee Colony Optimization Approach
Comparison Of Automatic Methods For Reducing The Pareto Front To A Single Solution Applied To Multi-Document Text Summarization
Identifying Key Players In Large Social Networks By Using A Multi-Objective Artificial Bee Colony Optimization Approach
A Flexible Replication-Based Classification Approach For Parkinson’s Disease Detection By Using Voice Recordings
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A Flexible Replication-Based Classification Approach For Parkinson’s Disease Detection By Using Voice Recordings
A New Asymmetric Link-Based Binary Regression Model To Detect Parkinson's Disease By Using Replicated Voice Recordings
A Flexible Replication-Based Classification Approach For Parkinson’s Disease Detection By Using Voice Recordings
A New Asymmetric Link-Based Binary Regression Model To Detect Parkinson's Disease By Using Replicated Voice Recordings
An Objective Method Of Street Classification For Noise Studies
A New Asymmetric Link-Based Binary Regression Model To Detect Parkinson's Disease By Using Replicated Voice Recordings
An Objective Method Of Street Classification For Noise Studies
Computational Diagnosis Of Parkinson's Disease From Speech Based On Regularization Methods
An Objective Method Of Street Classification For Noise Studies
Computational Diagnosis Of Parkinson's Disease From Speech Based On Regularization Methods
Automatic Selection Of A Single Solution From The Pareto Front To Identify Key Players In Social Networks
Computational Diagnosis Of Parkinson's Disease From Speech Based On Regularization Methods
Automatic Selection Of A Single Solution From The Pareto Front To Identify Key Players In Social Networks
Extractive Multi-Document Text Summarization Using A Multi-Objective Artificial Bee Colony Optimization Approach
Automatic Selection Of A Single Solution From The Pareto Front To Identify Key Players In Social Networks
Extractive Multi-Document Text Summarization Using A Multi-Objective Artificial Bee Colony Optimization Approach
A Diadochokinesis-Based Expert System Considering Articulatory Features Of Plosive Consonants For Early Detection Of Parkinson's Disease
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Graphs And Key Players In An Educational Social Network
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Word Clouds As A Learning Analytic Tool For The Cooperative E-Learning Platform Neurok
Identification, Capsular Typing And Virulence Factors Of Pasteurella Multocida Isolates From Merino Lambs In Extremadura (Southwestern Spain)
Word Clouds As A Learning Analytic Tool For The Cooperative E-Learning Platform Neurok
Identification, Capsular Typing And Virulence Factors Of Pasteurella Multocida Isolates From Merino Lambs In Extremadura (Southwestern Spain)
A Two-Stage Variable Selection And Classification Approach For Parkinson's Disease Detection By Using Voice Recording Replications
Identification, Capsular Typing And Virulence Factors Of Pasteurella Multocida Isolates From Merino Lambs In Extremadura (Southwestern 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
A Multi-Objective Artificial Bee Colony-Based Optimization Approach To Design Water Quality Monitoring Networks In River Basins
Addressing Voice Recording Replications For Tracking Parkinson’s Disease Progression
A Multi-Objective Artificial Bee Colony-Based Optimization Approach To Design Water Quality Monitoring Networks In River Basins
Neurok: A Collaborative E-Learning Platform Based On Pedagogical Principles From Neuroscience
A Multi-Objective Artificial Bee Colony-Based Optimization Approach To Design Water Quality Monitoring Networks In River Basins
Neurok: A Collaborative E-Learning Platform Based On Pedagogical Principles From Neuroscience
Feedlot Conditions And Their Influence On Blood Parameter Values In Merino Lambs In Extremadura, Spain Over A Specific Time-Period
Neurok: A Collaborative E-Learning Platform Based On Pedagogical Principles From Neuroscience
Feedlot Conditions And Their Influence On Blood Parameter Values In Merino Lambs In Extremadura, Spain Over A Specific Time-Period
Diagnosis And Tracking Of Parkinson’s Disease By Using Automatically Extracted Acoustic Features
Feedlot Conditions And Their Influence On Blood Parameter Values In Merino Lambs In Extremadura, Spain Over A Specific Time-Period
Diagnosis And Tracking Of Parkinson’s Disease By Using Automatically Extracted Acoustic Features
Mannheimia Haemolytica And Bibersteinia Trehalosi Serotypes Isolated From Merino Breed Lambs In Extremadura (Southwestern Spain)
Diagnosis And Tracking Of Parkinson’s Disease By Using Automatically Extracted Acoustic Features
Mannheimia Haemolytica And Bibersteinia Trehalosi Serotypes Isolated From Merino Breed Lambs In Extremadura (Southwestern Spain)
Investigations Into The Seasonal Presence Of Mycoplasma Species In Fattening Lambs
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Investigations Into The Seasonal Presence Of Mycoplasma Species In Fattening Lambs
Identifying Risk Factors For Ovine Respiratory Processes By Using Bayesian Networks
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Identifying Risk Factors For Ovine Respiratory Processes By Using Bayesian Networks
Addressing Voice Recording Replications For Parkinson's Disease Detection
Identifying Risk Factors For Ovine Respiratory Processes By Using Bayesian Networks
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
A New Bayesian Network-Based Approach To The Analysis Of Sperm Motility: Application In The Study Of Tench (Tinca Tinca) Semen
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A New Bayesian Network-Based Approach To The Analysis Of Sperm Motility: Application In The Study Of Tench (Tinca Tinca) Semen
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A Condition-Based Maintenance For A System Subject To Multiple Degradation Processes And External Shocks
A Monte Carlo–based Bayesian Approach For Measuring Agreement In A Qualitative Scale
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A Monte Carlo–based Bayesian Approach For Measuring Agreement In A Qualitative Scale
Valuation Of Immune Response By Using Phagocytosis Index And Parameters Associated As Markers Of Animal Stress In Fattening Lambs
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Valuation Of Immune Response By Using Phagocytosis Index And Parameters Associated As Markers Of Animal Stress In Fattening Lambs
A Condition-Based Maintenance Of A Dependent Degradation-Threshold-Shock Model In A System With Multiple Degradation Processes
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A Condition-Based Maintenance Of A Dependent Degradation-Threshold-Shock Model In A System With Multiple Degradation Processes
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 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
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
A Statistical Agreement-Based Approach For Difference Testing
Bayesian Binary Regression With Exponential Power Link
A Statistical Agreement-Based Approach For Difference Testing
Computer-Aided Diagnosis System: A Bayesian Hybrid Classification Method
A Statistical Agreement-Based Approach For Difference Testing
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
New Approaches To Compute Bayes Factor In Finite Mixture Models
Log-Linear Pool To Combine Prior Distributions: A Suggestion For A Calibration-Based Approach
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 Note On The Prior Parameter Choice In Finite Mixture Models Of Distributions From Exponential Families
Merging Experts' Opinions: A Bayesian Hierarchical Model With Mixture Of Prior Distributions
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
Collaborative Project Based Learning For A Statistics Course
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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
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Bayesian Analysis Of A Generalized Lognormal Distribution
Bayesian Robustness For Decision Making Problems: Applications In Medical Contexts
Modeling Experts' Opinions By Using Bayesian Mixture Models For A Subclass Of The Exponential Family
Bayesian Robustness For Decision Making Problems: Applications In Medical Contexts
Modeling Experts' Opinions By Using Bayesian Mixture Models For A Subclass Of The Exponential Family
Application Of A Generalized Lognormal Distribution To Engineering Data Fitting
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Application Of A Generalized Lognormal Distribution To Engineering Data Fitting
A Logistic Regression-Based Pairwise Comparison Method To Aggregate Preferences
Application Of A Generalized Lognormal Distribution To Engineering Data Fitting
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
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
La Estadística Visual Como Herramienta Didáctica En La Asignatura Matemáticas De Una Licenciatura En Veterinaria
A Bayesian Model For Multinomial Sampling With Misclassified Data
La Estadística Visual Como Herramienta Didáctica En La Asignatura Matemáticas De Una Licenciatura En Veterinaria
Una Generalización De La Lognormal: Ajuste De Tiempos De Vida
La Estadística Visual Como Herramienta Didáctica En La Asignatura Matemáticas De Una Licenciatura En Veterinaria
Una Generalización De La Lognormal: Ajuste De Tiempos De Vida
Rage: A Java-Implemented Visual Random Generator
Una Generalización De La Lognormal: Ajuste De Tiempos De Vida
Rage: A Java-Implemented Visual Random Generator
Bayesian Analysis Of Finite Mixtures Of Multinomial And Negative-Multinomial Distributions
Rage: A Java-Implemented Visual Random Generator
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
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Sensitivity Estimations For Bayesian Inference Models Solved By Mcmc Methods
Quasi-Random Sampling Importance Resampling
Sensitivity Estimations For Bayesian Inference Models Solved By Mcmc Methods
Quasi-Random Sampling Importance Resampling
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Quasi-Random Sampling Importance Resampling
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Simulación Hacia Adelante Ponderada En Diseños Secuenciales Bayesianos
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Aproximación De Distribuciones A Posteriori Utilizando El Método De Cociente De Uniformes
Comparison Of Two Clinical Scales For Causality Assessment In Hepatotoxicity
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Comparison Of Two Clinical Scales For Causality Assessment In Hepatotoxicity
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Enhancing Noise Robustness Of Automatic Parkinson's Disease Detection In Diadochokinesis Tests Using Multicondition Training
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