Pages that link to "Item:Q106540"
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The following pages link to Reversible jump Markov chain Monte Carlo computation and Bayesian model determination (Q106540):
Displaying 50 items.
- Bayesian Analysis of Nonlinear Autoregression Models Based on Neural Networks (Q5696499) (← links)
- Using Weibull Mixture Distributions to Model Heterogeneous Survival Data (Q5697372) (← links)
- Imputation and Variable Selection in Linear Regression Models with Missing Covariates (Q5714638) (← links)
- Models for Estimating Bayes Factors with Applications to Phylogeny and Tests of Monophyly (Q5717147) (← links)
- Bayesian change points analysis on the seismic activity in northeastern Taiwan (Q5717562) (← links)
- Model Selection and Averaging in Financial Risk Management (Q5742646) (← links)
- Hastings-Metropolis algorithm on Markov chains for small-probability estimation (Q5744929) (← links)
- Modeling Inter‐Subject Variability in fMRI Activation Location: A Bayesian Hierarchical Spatial Model (Q5850949) (← links)
- Bayesian Partitioning for Modeling and Mapping Spatial Case–Control Data (Q5850961) (← links)
- BAGS: A Bayesian Adaptive Group Sequential Trial Design With Subgroup-Specific Survival Comparisons (Q5857110) (← links)
- OPTIMAL AUXILIARY PRIORS AND REVERSIBLE JUMP PROPOSALS FOR A CLASS OF VARIABLE DIMENSION MODELS (Q5859568) (← links)
- Reconstruction of refractive index maps using photogrammetry (Q5861303) (← links)
- Bayesian modeling of factorial time-course data with applications to a bone aging gene expression study (Q5861482) (← links)
- An automatic robust Bayesian approach to principal component regression (Q5861513) (← links)
- A Method to Handle Zero Counts in the Multinomial Model (Q5868174) (← links)
- Bayesian estimation of bivariate Pickands dependence function (Q5876494) (← links)
- Bayesian Multimodel Inference by RJMCMC: A Gibbs Sampling Approach (Q5877126) (← links)
- A discussion of ‘prior-based Bayesian information criterion (PBIC)’ (Q5879983) (← links)
- Graph-based multivariate conditional autoregressive models (Q5880009) (← links)
- Bayesian variable selection via a benchmark in normal linear models (Q5880065) (← links)
- Covariance estimation via fiducial inference (Q5880096) (← links)
- Marginal Likelihood Computation for Model Selection and Hypothesis Testing: An Extensive Review (Q5883296) (← links)
- Monte Carlo Approximation of Bayes Factors via Mixing With Surrogate Distributions (Q5885102) (← links)
- Stochastic boosting algorithms (Q5917853) (← links)
- Forecasting with non-homogeneous hidden Markov models (Q5917857) (← links)
- Reconstruction of thermal conductivity and heat capacity using a tomographic approach (Q5920243) (← links)
- Statistical methods for DNA sequence segmentation (Q5926347) (← links)
- Benchmark priors for Bayesian model averaging. (Q5928977) (← links)
- Model selection by MCMC computation. (Q5940754) (← links)
- Bayesian model determination for binary time-series data with applications (Q5941335) (← links)
- Joint specification of model space and parameter space prior distributions (Q5962691) (← links)
- Using informative multinomial-Dirichlet prior in a t-mixture with reversible jump estimation of nucleosome positions for genome-wide profiling (Q5962702) (← links)
- Segmentation uncertainty in multiple change-point models (Q5962741) (← links)
- Exact Bayesian inference via data augmentation (Q5962743) (← links)
- Adaptive Bayesian density regression for high-dimensional data (Q5963506) (← links)
- On the use of Markov chain Monte Carlo methods for the sampling of mixture models: a statistical perspective (Q5963549) (← links)
- Bayesian computation: a summary of the current state, and samples backwards and forwards (Q5963784) (← links)
- A skew Gaussian decomposable graphical model (Q5964274) (← links)
- On oracle property and asymptotic validity of Bayesian generalized method of moments (Q5964279) (← links)
- MCMC for normalized random measure mixture models (Q5965029) (← links)
- Stochastic boosting algorithms (Q5970612) (← links)
- Forecasting with non-homogeneous hidden Markov models (Q5970616) (← links)
- Iterated multisource exchangeability models for individualized inference with an application to mobile sensor data (Q6050943) (← links)
- Bayesian non‐parametric spatial prior for traffic crash risk mapping: A case study of Victoria, Australia (Q6051667) (← links)
- Health assessment and prognostics based on higher‐order hidden semi‐Markov models (Q6052549) (← links)
- A Bayesian approach to restricted latent class models for scientifically structured clustering of multivariate binary outcomes (Q6055502) (← links)
- Adaptive Bayesian Sum of Trees Model for Covariate-Dependent Spectral Analysis (Q6055754) (← links)
- Sparse Bayesian inference with regularized Gaussian distributions <sup>*</sup> (Q6058329) (← links)
- Bayesian clustering for continuous‐time hidden Markov models (Q6059435) (← links)
- Regression modelling with the tilted beta distribution: A Bayesian approach (Q6059503) (← links)
