Bayesian Inference.
Overview
            | Works: | 53 works in 17 publications in 17 languages | |
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Titles
          
                  
                    Statistical methods for environmental mixtures = a primer in environmental epidemiology /
                  
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                    Neutrosophic paradigms: advancements in decision making and statistical analysis = neutrosophic principles for handling uncertainty /
                  
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                    Bayesian claims reserving methods in non-life insurance with Stan = an introduction /
                  
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                    Bayesian Claims Reserving Methods in Non-life Insurance with Stan = An Introduction /
                  
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                    Monte Carlo and Quasi-Monte Carlo Methods = MCQMC 2016, Stanford, CA, August 14-19 /
                  
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                        Selected Contributions on Statistics and Data Science in Latin America = 33 FNE and 13 CLATSE, 2018, Guadalajara, Mexico, October 1−5   /
                      
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                        Statistical Analysis of Empirical Data = Methods for Applied Sciences /
                      
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                        Likelihood and Bayesian Inference = With Applications in Biology and Medicine /
                      
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                        Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection
                      
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                        Case Studies in Applied Bayesian Data Science = CIRM Jean-Morlet Chair, Fall 2018 /
                      
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                        Reliability Assessment of Safety and Production Systems = Analysis, Modelling, Calculations and Case Studies /
                      
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                        Advances in Statistics - Theory and Applications = Honoring the Contributions of Barry C. Arnold in Statistical Science /
                      
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                        Survival Analysis = Proportional and Non-Proportional Hazards Regression /
                      
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                        The Significance Test Controversy Revisited = The Fiducial Bayesian Alternative /
                      
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                        Modern Biostatistical Methods for Evidence-Based Global Health Research
                      
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                        Regularized System Identification = Learning Dynamic Models from Data /
                      
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                        Bayesian Inference and Computation in Reliability and Survival Analysis
                      
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                        Uncertainty in Engineering = Introduction to Methods and Applications /
                      
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                        Data Assimilation Fundamentals = A Unified Formulation of the State and Parameter Estimation Problem /
                      
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                        Optimal experimental design = a concise introduction for researchers /
                      
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                        Bayesian statistics, new generations new approaches = BAYSM 2022, Montreal, Canada, June 22-23 /
                      
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                        Statistical modeling using Bayesian latent Gaussian models = with applications in geophysics and environmental sciences /
                      
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                        Nonparametric Bayesian inference = contributions by Jean-Marie Rolin /
                      
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