About the Algorithms category (1)
Change point model (2)
Are transformed parameters included in the search space for optimizations? (2)
Using a fixed step size for HMC (or NUTS) and other sampler options (11)
Using output from optimization algorithms to initialize sampler (5)
GPU Stan (6)
Multinomial sampling when joining a new tree in dynamic NUTS implementation (6)
Cruising the simplex (9)
Vectorized Autodiff with StanHeaders in Rcpp (10)
Exception: std::bad_alloc during execution (3)
Split-Rhat diagnostic and relative effective sample size (4)
Map_rect implementation compiling but getting infinities in parameters (4)
Tutorial on Monte Carlo EM and variants for MML and MMAP (17)
Prior and sampling (2)
Map_rect, multithreaded on parameters only (3)
Dual-averaging for other MCMC algorithms (3)
Variation in elapsed time of parallel chains and best practices for computing expectations from multiple chains (19)
Standalone Generated Quantities Example in pystan? (5)
Issue with dual averaging ( 2 ) (33)
QR decomposition inconsistent with QR decomposition in R (3)
Possible INLA optimization step concerns, sparsity requirements, and Stan features for large gaussian process inference ( 2 ) (32)
Packing/unpacking automation (8)
How to combine rstan code with R code? (2)
Chain ID for Multiple Chains (3)
Differentiating conditionals and while loops (14)
Generating a correlation matrix where off-diagonals are not extremely low (2)
Sensible values to use when sampling from prior to estimate covariance (7)
Why does ADVI use stochastic gradient ascent not LBFGS (11)
Inconsistent chain speed - does this give a clue about the problem? (11)
Latent discrete parameters (2)