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- A Bayesian approach to aggregate experts' initial information
- A Bayesian approach for misclassified ordinal response data
- A Bayesian decision analysis approach to assess voice disorder risks by using acoustic features
- A Bayesian model for multinomial sampling with misclassified data
- A Bayesian negotiation model for quality and price in a multi-consumer context
- A Bayesian-Network-based Approach to Risk Analysis in Runway Excursions
- A Diadochokinesis-based expert system considering articulatory features of plosive consonants for early detection of Parkinson's disease
- A Flexible Replication-Based Classification Approach for Parkinson’s Disease Detection by Using Voice Recordings
- A Monte Carlo–Based Bayesian Approach for Measuring Agreement in a Qualitative Scale
- A Multi-Objective Artificial Bee Colony-based optimization approach to design water quality monitoring networks in river basins
- A Statistical Agreement-Based Approach for Difference Testing
- A condition-based maintenance for a system subject to multiple degradation processes and external shocks
- A condition-based maintenance of a dependent degradation-threshold-shock model in a system with multiple degradation processes
- A decomposition-based multi-objective optimization approach for extractive multi-document text summarization
- A hidden Markov model addressing measurement errors in the response and replicated covariates for continuous nondecreasing processes
- A hidden markov model to address measurement errors in ordinal response scale and non-decreasing process
- A latent variable-based Bayesian regression to address recording replications in Parkinson's Disease
- A logistic regression-based pairwise comparison method to aggregate preferences
- A mixed hidden Markov model for multivariate monotone disease processes in the presence of measurement errors
- A new Bayesian network-based approach to the analysis of sperm motility: Application in the study of tench (Tinca tinca) semen
- A new asymmetric link-based binary regression model to detect Parkinson's disease by using replicated voice recordings
- A note on the prior parameter choice in finite mixture models of distributions from exponential families
- A stage-based approach to allocating water quality monitoring stations based on the WorldQual model: The Jubba River as a case study
- A two-stage variable selection and classification approach for Parkinson's disease detection by using voice recording replications
- Addressing misclassification for binary data: Probit and t-link regressions
- Addressing voice recording replications for Parkinson's disease detection
- Addressing voice recording replications for tracking Parkinson’s disease progression
- Adversarial life testing: A Bayesian negotiation model
- An Acoustic-Signal-Based Preventive Program for University Lecturers’ Vocal Health
- An Indicator-based Multi-Objective Optimization Approach Applied to Extractive Multi-Document Text Summarization
- An objective method of street classification for noise studies
- Análisis bayesiano de datos mal clasificados en presencia de covariables
- Aplicación de técnicas de aprendizaje colaborativo basado en proyectos a la docencia de Estadística en Ciencias Veterinarias
- Application of a generalized lognormal distribution to engineering data fitting
- Aproximación de distribuciones a posteriori utilizando el método de cociente de uniformes
- Automatic selection of a single solution from the Pareto front to identify key players in social networks
- Bayesian analysis of finite mixture models of distributions from exponential families
- Bayesian analysis of a generalized lognormal distribution
- Bayesian analysis of finite mixtures of multinomial and negative-multinomial distributions
- Bayesian analysis of some models that use the asymmetric exponential power distribution
- Bayesian binary regression with exponential power link
- Bayesian robustness for decision making problems: Applications in medical contexts
- Bayesian supervised image classification based on a pairwise comparison method
- Boar sperm hyperactivated motility is induced by temperature via an intracellular calcium-dependent pathway
- Collaborative project based learning for a statistics course
- Combinando opiniones de expertos mediante mixturas de distribuciones a priori
- Comparison of automatic methods for reducing the Pareto front to a single solution applied to multi-document text summarization
- Comparison of two clinical scales for causality assessment in hepatotoxicity
- Computational diagnosis of Parkinson's Disease from speech based on regularization methods
- Computer-aided diagnosis system: A Bayesian hybrid classification method
- Efficient generation of random vectors by using the ratio-of-uniforms method with ellipsoidal envelopes
- Experimental analysis of multiple criteria for extractive multi-document text summarization
- Exploring the importance of mixed autogenous vaccines as a potential determinant of lung consolidation in lambs using Bayesian networks
- Extractive multi-document text summarization using a multi-objective artificial bee colony optimization approach
- Feedlot conditions and their influence on blood parameter values in Merino lambs in Extremadura, Spain over a specific time-period
- Graphs and key players in an educational social network
- Identification, capsular typing and virulence factors of Pasteurella multocida isolates from Merino lambs in Extremadura (Southwestern Spain)
- Identifying key players in large social networks by using a multi-objective artificial bee colony optimization approach
- Identifying risk factors for ovine respiratory processes by using Bayesian networks
- Inference on exponential families with mixture of prior distributions
- Investigations into the seasonal presence of Mycoplasma species in fattening lambs
- La Estadística Visual como herramienta didáctica en la asignatura Matemáticas de una Licenciatura en Veterinaria
- Local parametric sensitivity for mixture models of lifetime distributions
- Log-linear pool to combine prior distributions: A suggestion for a calibration-based approach
- MCMC-based local parametric sensitivity estimations
- Mannheimia haemolytica and Bibersteinia trehalosi Serotypes Isolated from Merino Breed Lambs in Extremadura (Southwestern Spain)
- Merging experts' opinions: A Bayesian hierarchical model with mixture of prior distributions
- Modeling experts' opinions by using Bayesian mixture models for a subclass of the exponential family
- Multicondition Training for Noise-Robust Detection of Benign Vocal Fold Lesions from Recorded Speech
- NeuroK: A collaborative e-learning platform based on pedagogical principles from neuroscience
- New approaches to compute Bayes factor in finite mixture models
- Parallelizing a multi-objective optimization approach for extractive multi-document text summarization
- Predicting leaf nitrogen content in olive trees using hyperspectral data for precision agriculture
- Quasi-random sampling importance resampling
- RAGE: A Java-implemented visual random generator
- Robustness Assessment of Automatic Reinke's Edema Diagnosis Systems
- Sensitivity estimations for Bayesian inference models solved by MCMC methods
- Simulación hacia adelante ponderada en diseños secuenciales bayesianos
- Simulación utilizando el muestreo gibbs
- Skewed link-based regression models for misclassified binary data
- The impact of term-weighting schemes and similarity measures on extractive multi-document text summarization
- Towards robust features in voice disease diagnosis: MFCCS VS. PNCCS
- Una generalización de la lognormal: ajuste de tiempos de vida
- Valuation of immune response by using phagocytosis index and parameters associated as markers of animal stress in fattening lambs
- Variability and performance study of the sound absorption of used cigarette butts
- Word clouds as a learning analytic tool for the cooperative e-learning platform NeuroK
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