Bayesian Applications in Environmental and Ecological Studies with R and Stan
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Bayesian Applications in Environmental and Ecological Studies with R and Stan
DuFour, Mark R.; Alameddine, Ibrahim; Qian, Song S.
Taylor & Francis Ltd
08/2022
395
Dura
Inglês
9781138497399
15 a 20 dias
358
Descrição não disponível.
1. Overview
2. Bayesian Inference and Monte Carlo Simulation
3. An Overview of Bayesian Inference
4. Environmental Monitoring and Assessment - Normal Response Models
5. Population and Community: Count Variables
6. Hierarchical Modeling and Aggregation
7. Bayesian Applications
8. Concluding Remarks
2. Bayesian Inference and Monte Carlo Simulation
3. An Overview of Bayesian Inference
4. Environmental Monitoring and Assessment - Normal Response Models
5. Population and Community: Count Variables
6. Hierarchical Modeling and Aggregation
7. Bayesian Applications
8. Concluding Remarks
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
latent;multivariate;factor analysis;multiple regression;measurement error;causal;Posterior Distributions;Neuse River Estuary;MCMC Sample;Chla Concentrations;Exchangeable Units;Tp Concentration;Neuse River;MC Concentration;Prior Distribution;Stan Model;EPT Taxon;PCB Concentration;BN Model;Negative Binomial;Conditional Posterior;PC Algorithm;Gibbs Sampler;CPTs;Acceptance Rejection Method;Grass Carp;Markov Chain Monte Carlo Simulation;Metropolis Hastings Algorithm;Clutch Size;Change Point Model;Storm Water Treatment Areas
1. Overview
2. Bayesian Inference and Monte Carlo Simulation
3. An Overview of Bayesian Inference
4. Environmental Monitoring and Assessment - Normal Response Models
5. Population and Community: Count Variables
6. Hierarchical Modeling and Aggregation
7. Bayesian Applications
8. Concluding Remarks
2. Bayesian Inference and Monte Carlo Simulation
3. An Overview of Bayesian Inference
4. Environmental Monitoring and Assessment - Normal Response Models
5. Population and Community: Count Variables
6. Hierarchical Modeling and Aggregation
7. Bayesian Applications
8. Concluding Remarks
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
latent;multivariate;factor analysis;multiple regression;measurement error;causal;Posterior Distributions;Neuse River Estuary;MCMC Sample;Chla Concentrations;Exchangeable Units;Tp Concentration;Neuse River;MC Concentration;Prior Distribution;Stan Model;EPT Taxon;PCB Concentration;BN Model;Negative Binomial;Conditional Posterior;PC Algorithm;Gibbs Sampler;CPTs;Acceptance Rejection Method;Grass Carp;Markov Chain Monte Carlo Simulation;Metropolis Hastings Algorithm;Clutch Size;Change Point Model;Storm Water Treatment Areas
