Pages that link to "Item:Q4366242"

The following pages link to Estimating Bayes Factors via Posterior Simulation With the Laplace-Metropolis Estimator (Q4366242):

Displaying 50 items.

• An adaptive scheduling scheme for calculating Bayes factors with thermodynamic integration using Simpson's rule (Q294241) (← links)
• Editors' introduction to the special issue ``Bayes factors for testing hypotheses in psychological research: practical relevance and new developments'' (Q296914) (← links)
• Harold Jeffreys's default Bayes factor hypothesis tests: explanation, extension, and application in psychology (Q296921) (← links)
• Dependence of Bayesian model selection criteria and Fisher information matrix on sample size (Q415628) (← links)
• Approximate Bayesian inference for large spatial datasets using predictive process models (Q434887) (← links)
• Bayesian estimation and entropy for economic dynamic stochastic models: an exploration of overconsumption (Q508298) (← links)
• Bayesian learning of finite generalized Gaussian mixture models on images (Q551606) (← links)
• Bayesian hybrid generative discriminative learning based on finite Liouville mixture models (Q632614) (← links)
• Determining the number of clusters in cluster analysis (Q640693) (← links)
• A tutorial on Bayes factor estimation with the product space method (Q645486) (← links)
• Distribution-free tests of stochastic dominance for small samples (Q708643) (← links)
• Model weights for model choice and averaging (Q713757) (← links)
• Productivity growth measurement and decomposition under a dynamic inefficiency specification: the case of German dairy farms (Q724089) (← links)
• Testing order constraints: qualitative differences between Bayes factors and normalized maximum likelihood (Q894591) (← links)
• Bayesian analysis of multivariate stable distributions using one-dimensional projections (Q900801) (← links)
• Bayesian density estimation using skew Student-\(t\)-normal mixtures (Q1023877) (← links)
• Bayesian factor analysis with fat-tailed factors and its exact marginal likelihood (Q1026360) (← links)
• On the use of marginal posteriors in marginal likelihood estimation via importance sampling (Q1623576) (← links)
• A tutorial on bridge sampling (Q1690608) (← links)
• Model uncertainty (Q1766316) (← links)
• Optimal volume-corrected Laplace-Metropolis method (Q1881425) (← links)
• Bayesian analysis of the error correction model (Q1886286) (← links)
• The marginal likelihood of dynamic mixture models (Q1927041) (← links)
• Spatial Poisson processes for fatigue crack initiation (Q1986802) (← links)
• Generalized estimation of productivity with multiple bad outputs: the importance of materials balance constraints (Q2030489) (← links)
• Computing marginal likelihoods via the Fourier integral theorem and pointwise estimation of posterior densities (Q2172117) (← links)
• A comparison of Monte Carlo methods for computing marginal likelihoods of item response theory models (Q2178162) (← links)
• Cluster analysis of spatial point patterns: posterior distribution of parents inferred from offspring (Q2195544) (← links)
• Bayesian inference for finite mixtures of generalized linear models with random effects (Q2250615) (← links)
• Model comparison of nonlinear structural equation models with fixed covariates (Q2259548) (← links)
• Stable Paretian versus student's \(t\) stock market hypothesis (Q2320821) (← links)
• Thermodynamic Bayesian model comparison (Q2361465) (← links)
• Joint genome-wide prediction in several populations accounting for randomness of genotypes: a hierarchical Bayes approach. II: Multivariate spike and slab priors for marker effects and derivation of approximate Bayes and fractional Bayes factors for the c (Q2399628) (← links)
• Bayesian inference and model comparison for metallic fatigue data (Q2417702) (← links)
• A path sampling identity for computing the Kullback-Leibler and J divergences (Q2445627) (← links)
• An encompassing prior generalization of the Savage-Dickey density ratio (Q2445664) (← links)
• Explaining the behavior of joint and marginal Monte Carlo estimators in latent variable models with independence assumptions (Q2631369) (← links)
• Dynamic logistic regression and dynamic model averaging for binary classification (Q2893978) (← links)
• Robust Bayesian hierarchical model using normal/independent distributions (Q3188696) (← links)
• Bayesian meta-analysis using skewed elliptical distributions (Q3638580) (← links)
• Laplace Importance Sampling for Generalized Linear Mixed Models (Q4262907) (← links)
• A Bayesian encompassing test using combined value-at-risk estimates (Q4554430) (← links)
• Bayesian International Evidence on Heavy Tails, Non-Stationarity and Asymmetry over the Business Cycle (Q4832047) (← links)
• Applications of a Kullback-Leibler divergence for comparing non-nested models (Q4970827) (← links)
• Bayesian hierarchical joint modeling using skew-normal/independent distributions (Q5084927) (← links)
• Bayesian Approaches to Shrinkage and Sparse Estimation (Q5100721) (← links)
• Marginal likelihood estimation from the Metropolis output: tips and tricks for efficient implementation in generalized linear latent variable models (Q5219477) (← links)
• Marginal Likelihood Computation for Model Selection and Hypothesis Testing: An Extensive Review (Q5883296) (← links)
• Simulating normalizing constants: From importance sampling to bridge sampling to path sampling (Q5926348) (← links)
• Dynamic logistic state space prediction model for clinical decision making (Q6079844) (← links)