LOG-TYPES:  Types of log file records used by various programs.
 

Class of Programs          Type   Description


* Any                        r    State of random number generator


* Markov Chain Monte Carlo   i    Description of state/events at one iteration
                             o    List of Monte Carlo operations to apply

  Dynamic MCMC               p    Values of "momentum" variables
                             t    Specification of how to compute trajectories

  Tempered MCMC              m    Schedule of temperatures and maybe biases
                             b    Current temperature and associated state


* Bivariate Gaussian         B    Specification of bivariate Gaussian 
                             X    Point from bivariate Gaussian distribution


* Multivariate Gaussian      M    Specification of multivariate Gaussian 
                             X    Point from multivariate Gaussian distribution

* Ising system               I    Specification of Ising system
                             S    State of spins in system
                             D    Direction to push 

* Supervised learning        D    Data specifications for training and test sets
                             M    Model specification
                             V    Characteristics of model for survival data

  Neural network             A    Network architecture
                             P    Specification of priors for network
                             S    Hyperparameters ("sigmas")
                             W    Parameters of network ("weights")

  Gaussian process           P    Specification and priors
                             S    Hyperparameters
                             F    Case-by-case latent values
                             N    Case-by-case noise variances

            Copyright (c) 1995, 1996 by Radford M. Neal