Pages that link to "Item:Q2111117"
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The following pages link to Rank-normalization, folding, and localization: an improved \(\widehat{R}\) for assessing convergence of MCMC (with Discussion) (Q2111117):
Displaying 50 items.
- Sequential Monte Carlo for Sampling Balanced and Compact Redistricting Plans (Q58510) (← links)
- Revisiting the Gelman-Rubin diagnostic (Q2075706) (← links)
- Estimating the stillbirth rate for 195 countries using a Bayesian sparse regression model with temporal smoothing (Q2080726) (← links)
- Variance reduction for Metropolis-Hastings samplers (Q2104009) (← links)
- Estimation methods for stationary Gegenbauer processes (Q2110339) (← links)
- Rank-normalization, folding, and localization: an improved \(\widehat{R}\) for assessing convergence of MCMC (with Discussion) (Q2111117) (← links)
- Graphical test for discrete uniformity and its applications in goodness-of-fit evaluation and multiple sample comparison (Q2128076) (← links)
- Challenges in Markov chain Monte Carlo for Bayesian neural networks (Q2163079) (← links)
- NEW LOSS RESERVE MODELS WITH PERSISTENCE EFFECTS TO FORECAST TRAPEZOIDAL LOSSES IN RUN-OFF TRIANGLES (Q5045342) (← links)
- The <i>G</i>-Wishart Weighted Proposal Algorithm: Efficient Posterior Computation for Gaussian Graphical Models (Q5057256) (← links)
- Efficient Bayesian inference with latent Hamiltonian neural networks in no-U-turn sampling (Q6054204) (← links)
- Discussion on “Spatial+: a novel approach to spatial confounding” by Emiko Dupont, Simon N. Wood, and Nicole H. Augustin (Q6055670) (← links)
- The Dirichlet dual response model: an item response model for continuous bounded interval responses (Q6057042) (← links)
- Uncertainty Quantification of Inclusion Boundaries in the Context of X-Ray Tomography (Q6109154) (← links)
- Adaptive multi-stage integration schemes for Hamiltonian Monte Carlo (Q6129879) (← links)
- Nondecomposable item response theory models: fundamental measurement in psychometrics (Q6134088) (← links)
- Bayesian inference and dynamic prediction for multivariate longitudinal and survival data (Q6138582) (← links)
- Modeling racial/ethnic differences in COVID-19 incidence with covariates subject to nonrandom missingness (Q6138597) (← links)
- A comparison of Bayesian Markov chain Monte Carlo methods in a multilevel scenario (Q6141691) (← links)
- Assessment of generalised Bayesian structural equation models for continuous and binary data (Q6145043) (← links)
- CUQIpy: I. Computational uncertainty quantification for inverse problems in Python (Q6149901) (← links)
- A model of income evaluation: income comparison on subjective reference income distribution (Q6157182) (← links)
- A fully Bayesian sparse polynomial chaos expansion approach with joint priors on the coefficients and global selection of terms (Q6162876) (← links)
- Multilevel Delayed Acceptance MCMC (Q6164127) (← links)
- Model averaging for sparse seemingly unrelated regression using Bayesian networks among the errors (Q6177003) (← links)
- Some models are useful, but how do we know which ones? Towards a unified Bayesian model taxonomy (Q6185714) (← links)
- Bayesian hierarchical response time modelling—A tutorial (Q6185856) (← links)
- Handling missing within‐study correlations in the evaluation of surrogate endpoints (Q6189835) (← links)
- Bayesian projection pursuit regression (Q6190647) (← links)
- A Bayesian approach towards missing covariate data in multilevel latent regression models (Q6198878) (← links)
- Detecting and diagnosing prior and likelihood sensitivity with power-scaling (Q6494393) (← links)
- An importance sampling approach for reliable and efficient inference in Bayesian ordinary differential equation models (Q6548872) (← links)
- Optimal control of collective electrotaxis in epithelial monolayers (Q6572116) (← links)
- Bayesian fused lasso modeling via horseshoe prior (Q6579479) (← links)
- Modeling daily return volatility through GJR(1,1) model and realized volatility measure (Q6594122) (← links)
- hIPPYlib-MUQ: a Bayesian inference software framework for integration of data with complex predictive models under uncertainty (Q6601373) (← links)
- Bridging the gap between two-stage and joint models: the case of tumor growth inhibition and overall survival models (Q6618322) (← links)
- Bayesian transition models for ordinal longitudinal outcomes (Q6618362) (← links)
- A two-level copula joint model for joint analysis of longitudinal and competing risks data (Q6625725) (← links)
- A Bayesian time series model for reconstructing hydroclimate from multiple proxies (Q6626599) (← links)
- Gibbs sampler approach for objective Bayesian inference in elliptical multivariate meta-analysis random effects model (Q6626707) (← links)
- Bayesian workflow for disease transmission modeling in Stan (Q6628334) (← links)
- Tracking the transmission dynamics of COVID-19 with a time-varying coefficient state-space model (Q6628581) (← links)
- Modeling basal body temperature data using horseshoe process regression (Q6630324) (← links)
- Parameter estimation with increased precision for elliptic and hypo-elliptic diffusions (Q6632608) (← links)
- Towards quantum gravity with neural networks: solving the quantum Hamilton constraint of U(1) BF theory (Q6637770) (← links)
- Bayesian inversion with Student's \(t\) priors based on Gaussian scale mixtures (Q6641742) (← links)
- An SIR-based Bayesian framework for COVID-19 infection estimation (Q6642541) (← links)
- Tuning diagonal scale matrices for HMC (Q6643235) (← links)
- Gaussian modeling with B-splines for spatial functional data on irregular domains (Q6648827) (← links)
