Correlation in multi_normal posterior distribution
GFI in STAN
How can I improve the speed of a linear regression Stan model with one break point?
Projpred with mixed models
Constrain error for inv_logit
Is it recommended to have fixed effects if you already have random effects?
Fail to marginalize linear regression model with one change point
Dynamic panel data models with Stan?
One parameter logistic model,how to estimate the item discrimination for all items?
Rstan, tree depth, leapfrog
ARD implementation Gaussian Process
Linear model where each x has it's own normal distribution
How to validate the model containing the parameter which not relate the data?
Help writing latent class multinomial logit model (for conjoint data)
Hierarchical AR(K) Models
Exponentiation or transformation of "point estimates"
Using Stan for modelling changes in categorical outcomes: am I doing it right?
Gaussian process with hierarchical Gaussian process prior
Implementing a factor graph model for the TrueSkill algorithm
Rejecting initial value
Mark-Recapture model with a covariate fit with varying intercept and slopes greatly increases SD on betas
Any way to assign values to objects specified by index?
Modeling interactions with unconstrained parameters
Understanding priors and generated quantities in hierarchical multinomial
Calculating estimates for two non-reference variables in multinomial regression
Fitting a Hidden Markov Model
Forward algorithm for ZIP - Hidden Markov model
Efficient vector matrix product for many matrices
Why would anyone ever want to use a likelihood for a mixture model in which the discrete variables are "not marginalized out"
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