Bringing Bayesian Models to Life
portes grátis
Bringing Bayesian Models to Life
Hooten, Mevin B.; Hefley, Trevor
Taylor & Francis Ltd
06/2021
592
Mole
Inglês
9781032092416
15 a 20 dias
1100
Descrição não disponível.
Background. Bayesian Models. Numerical Integration. Monte Carlo. Markov Chain Monte Carlo. Importance Sampling. Basic Models and Concepts. Bernoulli - Beta. Normal-Normal. Normal-Inverse Gamma. Normal-Normal-Inverse Gamma. Intermediate Models and Concepts. Mixture Models. Linear Regression. Posterior Prediction. Model Comparison. Regularization. Bayesian Model Averaging. Time Series Models. Spatial Models. Advanced Models and Concepts. Quantile Regression. Hierarchical Models.Binary Regression. Count Data Regression. Zero-Inflated Models. Occupancy Models. Abundance Models. Expert Models and Concepts. Integrated Population Models. Spatial Occupancy Models. Spatial Capture-Recapture Models. Spatio-Temporal Models. Hamiltonian Monte Carlo.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
MCMC Algorithm;MCMC Sample;environmental science;MCMC Loop;Bayesian models;MCMC Output;R code implementing algorithms;Small DIC;Bayesian computational methods;Full Conditional Distributions;Asymmetric Laplace Distribution;Normal Normal Model;Normal Data Simulation;Data Set;Posterior Histogram;Posterior Distribution;Gibbs Updates;Posterior Predictive Distribution;Quantile Regression;Posterior Predictive;MCMC Iteration;Quantile Regression Model;Proposal Distribution;Occupancy Model;Malthusian Growth Model;Probit Regression Coefficients;ZI Negative Binomial Model;HMC Algorithm;ZI Poisson Regression Model
Background. Bayesian Models. Numerical Integration. Monte Carlo. Markov Chain Monte Carlo. Importance Sampling. Basic Models and Concepts. Bernoulli - Beta. Normal-Normal. Normal-Inverse Gamma. Normal-Normal-Inverse Gamma. Intermediate Models and Concepts. Mixture Models. Linear Regression. Posterior Prediction. Model Comparison. Regularization. Bayesian Model Averaging. Time Series Models. Spatial Models. Advanced Models and Concepts. Quantile Regression. Hierarchical Models.Binary Regression. Count Data Regression. Zero-Inflated Models. Occupancy Models. Abundance Models. Expert Models and Concepts. Integrated Population Models. Spatial Occupancy Models. Spatial Capture-Recapture Models. Spatio-Temporal Models. Hamiltonian Monte Carlo.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
MCMC Algorithm;MCMC Sample;environmental science;MCMC Loop;Bayesian models;MCMC Output;R code implementing algorithms;Small DIC;Bayesian computational methods;Full Conditional Distributions;Asymmetric Laplace Distribution;Normal Normal Model;Normal Data Simulation;Data Set;Posterior Histogram;Posterior Distribution;Gibbs Updates;Posterior Predictive Distribution;Quantile Regression;Posterior Predictive;MCMC Iteration;Quantile Regression Model;Proposal Distribution;Occupancy Model;Malthusian Growth Model;Probit Regression Coefficients;ZI Negative Binomial Model;HMC Algorithm;ZI Poisson Regression Model
