Pages that link to "Item:Q3156190"

The following pages link to Estimating marginal likelihoods for mixture and Markov switching models using bridge sampling techniques* (Q3156190):

Displaying 50 items.

• Model-based clustering based on sparse finite Gaussian mixtures (Q66958) (← links)
• Bayesian inference for structural vector autoregressions identified by Markov-switching heteroskedasticity (Q97969) (← links)
• Recursive pathways to marginal likelihood estimation with prior-sensitivity analysis (Q252729) (← links)
• On the shape of posterior densities and credible sets in instrumental variable regression models with reduced rank: an application of flexible sampling methods using neural networks (Q280238) (← links)
• Can CDS indexes signal future turmoils in the stock market? A Markov switching perspective (Q301208) (← links)
• Risk measures for skew normal mixtures (Q383836) (← links)
• A Bayesian approach to model-based clustering for binary panel probit models (Q452570) (← links)
• Pitfalls of estimating the marginal likelihood using the modified harmonic mean (Q500578) (← links)
• Importance sampling schemes for evidence approximation in mixture models (Q516488) (← links)
• A Bayesian analysis of payday loans and their regulation (Q528097) (← links)
• Model weights for model choice and averaging (Q713757) (← links)
• Bayesian estimation of an extended local scale stochastic volatility model (Q737916) (← links)
• Improved variational Bayes inference for transcript expression estimation (Q743618) (← links)
• A novel method of marginalisation using low discrepancy sequences for integrated nested Laplace approximations (Q830465) (← links)
• A comparison of Bayesian model selection based on MCMC with an application to GARCH-type models (Q849878) (← links)
• Exact and Monte Carlo calculations of integrated likelihoods for the latent class model (Q988928) (← links)
• Bayesian testing for non-linearity in volatility modeling (Q1010548) (← links)
• Interpretation and inference in mixture models: simple MCMC works (Q1019984) (← links)
• Bayesian inference in non-homogeneous Markov mixtures of periodic autoregressions with state-dependent exogenous variables (Q1023565) (← links)
• Marginal likelihoods for non-Gaussian models using auxiliary mixture sampling (Q1023812) (← links)
• Bayesian density estimation using skew Student-\(t\)-normal mixtures (Q1023877) (← links)
• On the use of marginal posteriors in marginal likelihood estimation via importance sampling (Q1623576) (← links)
• Income inequality decomposition using a finite mixture of log-normal distributions: a Bayesian approach (Q1659172) (← links)
• A tutorial on bridge sampling (Q1690608) (← links)
• Panel data analysis: a survey on model-based clustering of time series (Q1761308) (← links)
• The marginal likelihood of dynamic mixture models (Q1927041) (← links)
• Bayesian estimation of generalized hyperbolic skewed student GARCH models (Q1927090) (← links)
• A comparative study of Monte Carlo methods for efficient evaluation of marginal likelihood (Q1927121) (← links)
• On marginal likelihood computation in change-point models (Q1927122) (← links)
• Bayesian model choice of grouped \(t\)-copula (Q1930463) (← links)
• Bayesian variable selection in non-homogeneous hidden Markov models through an evolutionary Monte Carlo method (Q2008134) (← links)
• Improving bridge estimators via \(f\)-GAN (Q2080347) (← links)
• Computing marginal likelihoods via the Fourier integral theorem and pointwise estimation of posterior densities (Q2172117) (← links)
• Properties of the bridge sampler with a focus on splitting the MCMC sample (Q2195825) (← links)
• Estimating marginal likelihoods from the posterior draws through a geometric identity (Q2213361) (← links)
• Modeling price response from retail sales: an empirical comparison of models with different representations of heterogeneity (Q2240023) (← links)
• Bayesian multivariate latent class profile analysis: exploring the developmental progression of youth depression and substance use (Q2242033) (← links)
• Bayesian shrinkage in mixture-of-experts models: identifying robust determinants of class membership (Q2303060) (← links)
• Keeping the balance -- bridge sampling for marginal likelihood estimation in finite mixture, mixture of experts and Markov mixture models (Q2330483) (← links)
• A simple method for comparing complex models: Bayesian model comparison for hierarchical multinomial processing tree models using Warp-III bridge sampling (Q2331157) (← links)
• From here to infinity: sparse finite versus Dirichlet process mixtures in model-based clustering (Q2418083) (← links)
• New approaches to compute Bayes factor in finite mixture models (Q2445786) (← links)
• Marginal likelihood for Markov-switching and change-point GARCH models (Q2512618) (← links)
• Bayesian variable selection for latent class analysis using a collapsed Gibbs sampler (Q2631382) (← links)
• Bayesian analysis of proportions via a hidden Markov model (Q2684961) (← links)
• Regime-switching cointegration (Q2687854) (← links)
• Robust and efficient specification tests in Markov-switching autoregressive models (Q2694804) (← links)
• Modeling time-varying parameters using artificial neural networks: a GARCH illustration (Q2700575) (← links)
• A transitional Markov switching autoregressive model (Q2815965) (← links)
• Bayesian inference for finite mixtures of univariate and multivariate skew-normal and skew-t distributions (Q3305024) (← links)