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.
- Discussion (Q6064354) (← links)
- Statistical inference for continuous‐time Markov processes with block structure based on discrete‐time network data (Q6067691) (← links)
- Bayesian nonstationary spatial modeling for very large datasets (Q6069068) (← links)
- Full uncertainty analysis for Bayesian nonparametric mixture models (Q6071699) (← links)
- GP-BART: a novel Bayesian additive regression trees approach using Gaussian processes (Q6071715) (← links)
- The taxicab sampler: MCMC for discrete spaces with application to tree models (Q6074155) (← links)
- Reflections on Murray Aitkin's contributions to nonparametric mixture models and Bayes factors (Q6078166) (← links)
- Bayesian spatial homogeneity pursuit for survival data with an application to the SEER respiratory cancer data (Q6079468) (← links)
- A loss‐based prior for Gaussian graphical models (Q6081851) (← links)
- Bayesian Model Averaging: A Systematic Review and Conceptual Classification (Q6086545) (← links)
- Cox Point Processes: Why One Realisation Is Not Enough (Q6086617) (← links)
- Prior‐free Bayes Factors Based on Data Splitting (Q6086625) (← links)
- Bayesian inference of multivariate-GARCH-BEKK models (Q6089306) (← links)
- Scalable Bayesian Multiple Changepoint Detection via Auxiliary Uniformisation (Q6089881) (← links)
- Bayesian analysis of one‐inflated models for elusive population size estimation (Q6089917) (← links)
- A consistent on‐line Bayesian procedure for detecting change points (Q6090002) (← links)
- Relating nano‐particle properties to biological outcomes in exposure escalation experiments (Q6090017) (← links)
- Lévy Adaptive B-spline Regression via Overcomplete Systems (Q6090399) (← links)
- Approximate Bayesian inference for multivariate point pattern analysis in disease mapping (Q6091727) (← links)
- Micro–Macro Changepoint Inference for Periodic Data Sequences (Q6094097) (← links)
- Neuronized Priors for Bayesian Sparse Linear Regression (Q6110693) (← links)
- Distributed computation for marginal likelihood based model choice (Q6122039) (← links)
- Bayesian hierarchical modeling of extreme hourly precipitation in Norway (Q6139129) (← links)
- Bayesian hidden Markov modelling using circular‐linear general projected normal distribution (Q6139133) (← links)
- On the accept-reject mechanism for Metropolis-Hastings algorithms (Q6139681) (← links)
- Bayesian CART models for insurance claims frequency (Q6152709) (← links)
- Lagged couplings diagnose Markov chain Monte Carlo phylogenetic inference (Q6161882) (← links)
- SMLSOM: the shrinking maximum likelihood self-organizing map (Q6168922) (← links)
- A data-driven reversible jump for estimating a finite mixture of regression models (Q6169919) (← links)
- Automatically adapting the number of state particles in \(\text{SMC}^2\) (Q6173563) (← links)
- Bayesian inference for an unknown number of attributes in restricted latent class models (Q6175693) (← links)
- Model averaging for sparse seemingly unrelated regression using Bayesian networks among the errors (Q6177003) (← links)
- Reversible jump MCMC for inference in a deterministic individual–based model of tree growth for studying forest dynamics (Q6179508) (← links)
- Identifying trends in the spatial errors of a regional climate model via clustering (Q6179617) (← links)
- Adversarial meta-learning of Gamma-minimax estimators that leverage prior knowledge (Q6184868) (← links)
- Minimax and adaptive tests for detecting abrupt and possibly transitory changes in a Poisson process (Q6184888) (← links)
- Reversible Jump PDMP Samplers for Variable Selection (Q6185587) (← links)
- Bayesian projection pursuit regression (Q6190647) (← links)
- Structural Breaks in Grouped Heterogeneity (Q6190688) (← links)
- Graphical Assistant Grouped Network Autoregression Model: A Bayesian Nonparametric Recourse (Q6190756) (← links)
- Bayesian change-points detection assuming a power law process in the recurrent-event context (Q6204963) (← links)
- Bayesian feature selection in high-dimensional regression in presence of correlated noise (Q6537799) (← links)
- Efficient sampling of Gaussian graphical models using conditional Bayes factors (Q6537807) (← links)
- A direct sampler for G-Wishart variates (Q6537842) (← links)
- SBFEM and Bayesian inference for efficient multiple flaw detection in structures (Q6539842) (← links)
- Biclustering of medical monitoring data using a nonparametric hierarchical Bayesian model (Q6541567) (← links)
- Disjunct support spike-and-slab priors for variable selection in regression under quasi-sparseness (Q6541607) (← links)
- Bayesian inference for polycrystalline materials (Q6541744) (← links)
- A general approximation to nested Bayes factors with informed priors (Q6548853) (← links)
- Bayesian Heterogeneous Hidden Markov Models with an Unknown Number of States (Q6552521) (← links)
