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.

• Comparative evaluation of various frequentist and Bayesian non-homogeneous Poisson counting models (Q2358907) (← links)
• A Bayesian model averaging approach to analyzing categorical data with nonignorable nonresponse (Q2359514) (← links)
• Improved Bayesian inference for the stochastic block model with application to large networks (Q2361220) (← links)
• Comparison of Bayesian predictive methods for model selection (Q2361448) (← links)
• Investigation of the widely applicable Bayesian information criterion (Q2361460) (← links)
• Thermodynamic Bayesian model comparison (Q2361465) (← links)
• Approximate computations for binary Markov random fields and their use in Bayesian models (Q2361473) (← links)
• Study on joint Bayesian model selection and parameter estimation method of GTD model (Q2372542) (← links)
• A micro-level claim count model with overdispersion and reporting delays (Q2374091) (← links)
• Bayesian multinomial latent variable modeling for fraud and abuse detection in health insurance (Q2374118) (← links)
• Nonparametric adaptive Bayesian regression using priors with tractable normalizing constants and under qualitative assumptions (Q2374528) (← links)
• Consistency results on nonparametric Bayesian estimation of level sets using spatial priors (Q2384661) (← links)
• Bayesian dynamic models for survival data with a cure fraction (Q2385620) (← links)
• Inference for a class of partially observed point process models (Q2393149) (← links)
• The effect of model misspecification on growth mixture model class enumeration (Q2403301) (← links)
• Finite mixture biclustering of discrete type multivariate data (Q2418086) (← links)
• Efficient sequential Monte Carlo algorithms for integrated population models (Q2419838) (← links)
• Quantifying uncertainties in first-principles alloy thermodynamics using cluster expansions (Q2424411) (← links)
• Bayesian multiple change-point estimation with annealing stochastic approximation Monte Carlo (Q2430237) (← links)
• Bayesian spline method for assessing extreme loads on wind turbines (Q2441846) (← links)
• Bayesian object classification of gold nanoparticles (Q2443129) (← links)
• Travel time estimation for ambulances using Bayesian data augmentation (Q2443173) (← links)
• Bayesian analysis for outliers in survey sampling (Q2445648) (← links)
• Bayesian inference with stochastic volatility models using continuous superpositions of non-Gaussian Ornstein-Uhlenbeck processes (Q2445712) (← links)
• Default Bayesian model determination methods for generalised linear mixed models (Q2445779) (← links)
• Robust model selection with flexible trimming (Q2445783) (← links)
• New approaches to compute Bayes factor in finite mixture models (Q2445786) (← links)
• A Bayesian analysis of the Bingham distribution (Q2448567) (← links)
• Bayesian inference for dynamic social network data (Q2455415) (← links)
• A practical sampling approach for a Bayesian mixture model with unknown number of compo\-nents (Q2457787) (← links)
• Image segmentation by polygonal Markov fields (Q2457967) (← links)
• Bayesian inference for stochastic epidemic models with time-inhomogeneous removal rates (Q2460420) (← links)
• Stationarity preserving and efficiency increasing probability mass transfers made possible (Q2463660) (← links)
• Accounting for the threshold uncertainity in extreme value estimation (Q2463692) (← links)
• Describing disability through individual-level mixture models for multivariate binary data (Q2466476) (← links)
• Markov chain Monte Carlo implementation of rock fracture modelling (Q2468287) (← links)
• A Bayesian analysis of beta testing (Q2474784) (← links)
• An empirical evaluation of fat-tailed distributions in modeling financial time series (Q2479445) (← links)
• Bayesian inference for extremes: accounting for the three extremal types (Q2488461) (← links)
• On modeling change points in non-homogeneous Poisson processes (Q2492809) (← links)
• Inference on microsatellite mutation processes in the invasive mite, varroa destructor, using reversible jump Markov chain Monte Carlo (Q2494904) (← links)
• On fast supervised learning for normal mixture models with missing information (Q2499133) (← links)
• Bayesian analysis for reversible Markov chains (Q2500453) (← links)
• Markov chain Monte Carlo methods and the label switching problem in Bayesian mixture modeling (Q2503968) (← links)
• Bayesian inference for graphical factor analysis models (Q2511858) (← links)
• Marginal likelihood for Markov-switching and change-point GARCH models (Q2512618) (← links)
• Bayesian subset selection for threshold autoregressive moving-average models (Q2513329) (← links)
• Modelling non-stationary dynamic gene regulatory processes with the BGM model (Q2513338) (← links)
• Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates (Q2513934) (← links)
• Adaptive MCMC with online relabeling (Q2515500) (← links)