About the Algorithms category (1)
Is it normal that STAN becomes really slow with large data (vector [32000]) (4)
Stan equivalent to R's which() (9)
Surprising memory usage with eigendecomposition (7)
How to implement ADVI (3)
Gibbs Sampling in Stan (6)
Using output from optimization algorithms to initialize sampler (6)
Change point model (3)
Max likelihood time complexity as function of number of parameters (9)
Incomplete gamma function with negative argument (11)
Examples where numerical solver is faster than matrix exp (8)
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)
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)