Mixed models with deterministic and random variables
Inverse problem with Stan
Eigenvalue Issues of rate matrixes
Real to Int
Different runs give me different estimated values
Sparse or low-rank approximate mass matrix
F: R^N -> R^M - Jacobian for M >> N - is forward-mode more efficient?
Custom, markov chain-based, discrete likelihood function
Running from version 2.13 but not 2.15.1
Combining HMC with Gibbs Sampling in Hierarchical Models
Divergent transitions - possible to relate to certain parameters?
Regression - generic formulation much slower
ODE solver in PBPK model takes too much time
Variational Bayes versus MAP for prediction
Non-negative constrained optimization?
How to run ICM methods in Stan
RHMC... is it self-adapting like NUTS?
NUTS differences in Stan vs paper
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