The following pages link to Stan (Q22167):
Displaying 50 items.
- Density Estimation via Bayesian Inference Engines (Q59197) (← links)
- Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC (Q59366) (← links)
- BAMLSS: Bayesian Additive Models for Location, Scale, and Shape (and Beyond) (Q89961) (← links)
- Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming (Q91882) (← links)
- Robustness against outliers: A new variance inflated regression model for proportions (Q96424) (← links)
- Partial derivatives for the first-passage time distribution in Wiener diffusion models (Q97071) (← links)
- Bayesian beta regression for bounded responses with unknown supports (Q109170) (← links)
- On the identifiability of Bayesian factor analytic models (Q113012) (← links)
- The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo (Q123703) (← links)
- Random projections for Bayesian regression (Q144017) (← links)
- A Bayesian approach to modeling group and individual differences in multidimensional scaling (Q256396) (← links)
- Bayesian nonparametric weighted sampling inference (Q273622) (← links)
- Bayes factors, relations to minimum description length, and overlapping model classes (Q296927) (← links)
- How hierarchical models improve point estimates of model parameters at the individual level (Q313077) (← links)
- Probabilistic abductive logic programming using Dirichlet priors (Q324690) (← links)
- Item cloning variation and the impact on the parameters of response models (Q525244) (← links)
- Statistical comparison of classifiers through Bayesian hierarchical modelling (Q682388) (← links)
- Post-processing of Markov chain Monte Carlo output in Bayesian latent variable models with application to multidimensional scaling (Q722742) (← links)
- Response mixture modeling: accounting for heterogeneity in item characteristics across response times (Q725283) (← links)
- Book review of: R. Levy and R. J. Mislevy, Bayesian psychometric modeling (Q725308) (← links)
- Semiparametric Bayesian approaches to systems factorial technology (Q730154) (← links)
- Understanding the stochastic partial differential equation approach to smoothing (Q782712) (← links)
- Heavy quarkonium in extreme conditions (Q823209) (← links)
- Monotonicity of rank order probabilities in signal detection models of simultaneous detection and identification (Q825153) (← links)
- Hierarchical multinomial modeling to explain individual differences in children's clustering in free recall (Q826862) (← links)
- Cultural consensus theory for the evaluation of patients' mental health scores in forensic psychiatric hospitals (Q826868) (← links)
- Developing memory-based models of ACT-R within a statistical framework (Q826893) (← links)
- Model checking finite-horizon Markov chains with probabilistic inference (Q832295) (← links)
- A tutorial on Bayesian models of perception (Q894106) (← links)
- Empirical Bayes analysis of RNA-seq data for detection of gene expression heterosis (Q906083) (← links)
- Improving estimates of Fried's index from mating competitiveness experiments (Q1618188) (← links)
- A review of self-exciting spatio-temporal point processes and their applications (Q1630387) (← links)
- On the use of Cauchy prior distributions for Bayesian logistic regression (Q1631551) (← links)
- Merging MCMC subposteriors through Gaussian-process approximations (Q1631561) (← links)
- A new regression model for bounded responses (Q1631582) (← links)
- Using stacking to average Bayesian predictive distributions (with discussion) (Q1631589) (← links)
- Designing simple and efficient Markov chain Monte Carlo proposal kernels (Q1631594) (← links)
- A PDE multiscale model of hepatitis C virus infection can be transformed to a system of ODEs (Q1642559) (← links)
- Bayesian methods for dealing with missing data problems (Q1657862) (← links)
- A note on modeling sparse exponential-family functional response curves (Q1658520) (← links)
- SIMD parallel MCMC sampling with applications for big-data Bayesian analytics (Q1663281) (← links)
- A hierarchical Bayesian approach to distinguishing serial and parallel processing (Q1679030) (← links)
- Generalized fiducial inference for logistic graded response models (Q1695746) (← links)
- Automated parameter blocking for efficient Markov chain Monte Carlo sampling (Q1699668) (← links)
- The horseshoe+ estimator of ultra-sparse signals (Q1699709) (← links)
- Langevin incremental mixture importance sampling (Q1703855) (← links)
- Modified Cholesky Riemann manifold Hamiltonian Monte Carlo: exploiting sparsity for fast sampling of high-dimensional targets (Q1704017) (← links)
- Comment: A brief survey of the current state of play for Bayesian computation in data science at big-data scale (Q1705540) (← links)
- Default priors for the intercept parameter in logistic regressions (Q1727911) (← links)
- Estimating across-trial variability parameters of the diffusion decision model: expert advice and recommendations (Q1736012) (← links)
