Order constraints on model parameters
Regime Switching Model
Jacobian for prior on P-spline transformation
Cutpoint priors in ordinal models
Scale transformation with error in linear regression
Best way to identify pathologies from divergent transitions (general step by step workflow)
Sample size as function of needed HDI width
Underflow? in custom distribution function
Many regressions: unique (stable) function for exponential and s-shape behaviour
Hierarchical Lotka Volterra
Hierarchical model for multi_normal response w/per-group covariance
Reinforcement learning model
Approximating leave one cluster out cross validation
Gaussian process gradient matching for inference in dynamical systems
Making arbitrary C++ functions available to Stan
Repeat Sales Regression ported from BUGS
Any benefit to supplying gradient myself?
Bad neff / rhat, on data?
Reparameterization ("Matt trick") failing to produce a speed improvement in hierarchical model
Sparse infinite factor priors
Identification of mixture of multivariate normal distributions
Hierarchical multinomial model performance with high variance in grouping variable
Help with factor analysis (latent variable model)
"jacobian not necessary" for transformed normal location parameter?
Paradigm for link function switching in ordinal response models
Stan code for fitting simple RL model
Posteriors too wide but no obvious problems - fitting a latent normal-multinomial model
Initialization differences between normal and logistic IRT
Initializing IRT model with constrained parameters
Why are these two similar Zero-inflated Poisson models producing quite different results?
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