Pages that link to "Item:Q1790379"
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The following pages link to Penalising model component complexity: a principled, practical approach to constructing priors (Q1790379):
Displaying 50 items.
- Spatiotemporal wildfire modeling through point processes with moderate and extreme marks (Q2686054) (← links)
- Competing risks joint models using R-INLA (Q3389291) (← links)
- Spatial survival modelling of business re-opening after Katrina: Survival modelling compared to spatial probit modelling of re-opening within 3, 6 or 12 months (Q3389297) (← links)
- Bayesian linear regression models with flexible error distributions (Q5036897) (← links)
- Improving Bayesian Local Spatial Models in Large Datasets (Q5066391) (← links)
- Spatial modelling of risk premiums for water damage insurance (Q5073017) (← links)
- Catalytic prior distributions with application to generalized linear models (Q5073071) (← links)
- Geostatistical patterns of comorbidity of diarrhea, acute respiratory infection, and stunting among under-five children in Nigeria (Q5074896) (← links)
- Bayesian Approaches to Shrinkage and Sparse Estimation (Q5100721) (← links)
- Fitting logistic multilevel models with crossed random effects via Bayesian Integrated Nested Laplace Approximations: a simulation study (Q5106968) (← links)
- Noninformative Bayesian inference for heterogeneity in a generalized marginal random effects meta-analysis (Q5117959) (← links)
- Penalized complexity priors for degrees of freedom in Bayesian P-splines (Q5142159) (← links)
- Bayesian Parameter Identification in Cahn--Hilliard Models for Biological Growth (Q5228367) (← links)
- Constructing Priors that Penalize the Complexity of Gaussian Random Fields (Q5229926) (← links)
- Spatio-temporal parse network-based trajectory modeling on the dynamics of criminal justice system (Q5865425) (← links)
- Benjamin, D. J., and Berger, J. O. (2019), “Three Recommendations for Improving the Use of <i>p</i>-Values”, <i>The American Statistician</i>, 73, 186–191: Comment by Foulley (Q5869257) (← links)
- Spatial regression and spillover effects in cluster randomized trials with count outcomes (Q6050956) (← links)
- Copula modelling with penalized complexity priors: the bivariate case (Q6051851) (← links)
- Child mortality estimation incorporating summary birth history data (Q6055505) (← links)
- Small Area Estimation for Disease Prevalence Mapping (Q6064364) (← links)
- A flexible Bayesian nonconfounding spatial model for analysis of dispersed count data (Q6068817) (← links)
- Approximate Bayesian inference for case‐crossover models (Q6076489) (← links)
- A robust mixed‐effects parametric quantile regression model for continuous proportions: Quantifying the constraints to vitality in cushion plants (Q6089512) (← links)
- Approximate Bayesian inference for multivariate point pattern analysis in disease mapping (Q6091727) (← links)
- Gradient boosting with extreme-value theory for wildfire prediction (Q6100555) (← links)
- Joint modeling and prediction of massive spatio-temporal wildfire count and burnt area data with the INLA-SPDE approach (Q6100559) (← links)
- A new avenue for Bayesian inference with INLA (Q6113748) (← links)
- Spatial 3D Matérn priors for fast whole-brain fMRI analysis (Q6117931) (← links)
- Improving multilevel regression and poststratification with structured priors (Q6120423) (← links)
- Stable non-linear generalized Bayesian joint models for survival-longitudinal data (Q6133713) (← links)
- A penalized complexity prior for deep Bayesian transfer learning with application to materials informatics (Q6138640) (← links)
- Bayesian estimation of two‐part joint models for a longitudinal semicontinuous biomarker and a terminal event with INLA: Interests for cancer clinical trial evaluation (Q6143322) (← links)
- A modeler's guide to extreme value software (Q6144812) (← links)
- High-dimensional modeling of spatial and spatio-temporal conditional extremes using INLA and Gaussian Markov random fields (Q6144814) (← links)
- Estimating global and country-specific excess mortality during the COVID-19 pandemic (Q6161878) (← links)
- Joint models of multivariate longitudinal outcomes and discrete survival data with INLA: an application to credit repayment behaviour (Q6168507) (← links)
- Intuitive joint priors for Bayesian linear multilevel models: the R2D2M2 prior (Q6170612) (← links)
- Using mortality to predict incidence for rare and lethal cancers in very small areas (Q6181617) (← links)
- Controlling the flexibility of non-Gaussian processes through shrinkage priors (Q6203348) (← links)
- Penalized complexity priors for the skewness parameter of power links (Q6490389) (← links)
- Bayesian group learning for shot selection of professional basketball players (Q6541715) (← links)
- Covariance–Based Rational Approximations of Fractional SPDEs for Computationally Efficient Bayesian Inference (Q6552525) (← links)
- Bayesian inference with subset simulation in varying dimensions applied to the Karhunen-Loève expansion (Q6554109) (← links)
- Smoothed model-assisted small area estimation of proportions (Q6554756) (← links)
- A flexible Bayesian tool for CoDa mixed models: logistic-normal distribution with Dirichlet covariance (Q6570343) (← links)
- Integrated nested Laplace approximations for large-scale spatiotemporal Bayesian modeling (Q6575345) (← links)
- Mixture polarization in inter-rater agreement analysis: a Bayesian nonparametric index (Q6580638) (← links)
- Rejoinder to: ``Specifying prior distribution in reliability applications'' (Q6581577) (← links)
- A diffusion-based spatio-temporal extension of Gaussian Matérn fields (Q6583113) (← links)
- Scaling priors for intrinsic Gaussian Markov random fields applied to blood pressure data (Q6590552) (← links)
