Pages that link to "Item:Q106540"

The following pages link to Reversible jump Markov chain Monte Carlo computation and Bayesian model determination (Q106540):

Displaying 50 items.

• Numerical Bayesian inference with arbitrary prior (Q1591490) (← links)
• Jump-diffusion Markov processes on orthogonal groups for object pose estimation (Q1600709) (← links)
• Some connections between Bayesian and non-Bayesian methods for regression model selection (Q1613040) (← links)
• A Bayesian model selection method with applications (Q1614838) (← links)
• On the influence of the proposal distributions on a reversible jump MCMC algorithm applied to the detection of multiple change-points (Q1614845) (← links)
• Bayesian analysis of generalized partially linear single-index models (Q1615153) (← links)
• Adaptive MCMC for multiple changepoint analysis with applications to large datasets (Q1616317) (← links)
• Systematic inference of the long-range dependence and heavy-tail distribution parameters of ARFIMA models (Q1620525) (← links)
• An evolutionary Monte Carlo algorithm for Bayesian block clustering of data matrices (Q1621318) (← links)
• Use of SAMC for Bayesian analysis of statistical models with intractable normalizing constants (Q1621320) (← links)
• Simulation-based Bayesian inference for epidemic models (Q1621323) (← links)
• Bayesian Dirichlet mixture model for multivariate extremes: a re-parametrization (Q1621331) (← links)
• Reversible jump MCMC for nonparametric drift estimation for diffusion processes (Q1621341) (← links)
• Flexible clustering via extended mixtures of common \(t\)-factor analyzers (Q1622105) (← links)
• Unimodal density estimation using Bernstein polynomials (Q1623381) (← links)
• Marginal reversible jump Markov chain Monte Carlo with application to motor unit number estimation (Q1623396) (← links)
• A generalized multiple-try version of the reversible jump algorithm (Q1623419) (← links)
• Classification of molecular sequence data using Bayesian phylogenetic mixture models (Q1623476) (← links)
• On the use of marginal posteriors in marginal likelihood estimation via importance sampling (Q1623576) (← links)
• A transdimensional approximate Bayesian computation using the pseudo-marginal approach for model choice (Q1623706) (← links)
• Efficient model comparison techniques for models requiring large scale data augmentation (Q1631557) (← links)
• Big data Bayesian linear regression and variable selection by normal-inverse-gamma summation (Q1631590) (← links)
• Bayesian model selection of regular vine copulas (Q1631599) (← links)
• A pruned recursive solution to the multiple change point problem (Q1643025) (← links)
• Bayesian variable selection for a semi-competing risks model with three hazard functions (Q1654272) (← links)
• Mixture models applied to heterogeneous populations (Q1654332) (← links)
• Unfolded GARCH models (Q1657508) (← links)
• Comparison of the frequentist MATA confidence interval with Bayesian model-averaged confidence intervals (Q1657884) (← links)
• Adjusting background noise in cluster analyses of longitudinal data (Q1658439) (← links)
• Model selection for discrete regular vine copulas (Q1658513) (← links)
• Adaptive spectral estimation for nonstationary multivariate time series (Q1659008) (← links)
• Income inequality decomposition using a finite mixture of log-normal distributions: a Bayesian approach (Q1659172) (← links)
• Using hierarchical centering to facilitate a reversible jump MCMC algorithm for random effects models (Q1659251) (← links)
• An exact approach to Bayesian sequential change point detection (Q1659360) (← links)
• Model selection for time series of count data (Q1662312) (← links)
• A Bayesian algorithm for functional mapping of dynamic complex traits (Q1662468) (← links)
• Semiparametric spatial model for interval-censored data with time-varying covariate effects (Q1662826) (← links)
• Transdimensional approximate Bayesian computation for inference on invasive species models with latent variables of unknown dimension (Q1663335) (← links)
• Bayesian estimation of differential transcript usage from RNA-seq data (Q1670291) (← links)
• A Bayesian approach to multiscale inverse problems with on-the-fly scale determination (Q1674657) (← links)
• On the Bayesian calibration of computer model mixtures through experimental data, and the design of predictive models (Q1686611) (← links)
• A tutorial on bridge sampling (Q1690608) (← links)
• A nonparametric multidimensional latent class IRT model in a Bayesian framework (Q1695736) (← links)
• Bayesian model selection for complex geological structures using polynomial chaos proxy (Q1702394) (← links)
• Tracking multiple moving objects in images using Markov chain Monte Carlo (Q1703847) (← links)
• Latent single-index models for ordinal data (Q1703869) (← links)
• Bayesian classification of multiclass functional data (Q1711597) (← links)
• Non-Gaussian covariate-dependent spatial measurement error model for analyzing big spatial data (Q1722626) (← links)
• Bayesian model selection for generalized linear models using non-local priors (Q1727917) (← links)
• sppmix: Poisson point process modeling using normal mixture models (Q1729311) (← links)