Algorithms


Concentration of divergences ( 2 3 ) (47)
Speeding up a multi_normal model (5)
Gaussian CAR (2)
Unknown Truncation Point (5)
Priors for Hierarchical GP Regression ( 2 ) (26)
Gradients for prim/mat distributions (4)
Fitting a large data hierarchical model-can I trust variational inference algorithm? (13)
ADVI / Stochastic quasi-Newton methods (6)
Differentiating conditionals and while loops (9)
Improved effective sample size estimation (5)
ADVI / Rats example / Adagrad (2)
Multicore Speedups are different between models ( 2 ) (26)
Adjoint sensitivities (20)
Slurmstepd: error: exceeded memory limit (5)
Jacobian adjustment in the acceptance probability (12)
Fast / Slow dynamics and widely varying degrees of identification (10)
Stan how to optimize the estimation process? (7)
Parameterizing simplexes (15)
Momentum Diffusion HMC? ( 2 3 ) (41)
Mixed models with deterministic and random variables (8)
Inverse problem with Stan (4)
Eigenvalue Issues of rate matrixes (6)
Vectorizing bernoulli_logit_lpmf() (3)
Real to Int ( 2 ) (27)
Different runs give me different estimated values (5)
Sparse or low-rank approximate mass matrix (5)
F: R^N -> R^M - Jacobian for M >> N - is forward-mode more efficient? ( 2 ) (26)
Custom, markov chain-based, discrete likelihood function (12)
Running from version 2.13 but not 2.15.1 (5)
Combining HMC with Gibbs Sampling in Hierarchical Models (5)