This is an index to documenation for software implementing Bayesian neural network learning using Markov chain Monte Carlo methods.
UTIL MC NET BVG
data-spec mc net bvg
extract mc-quantities net-dvar bvg-plt
grid mc-spec net-display bvg-mc
log mc-temp-filter net-eval bvg-spec
log-copy mc-temp-sched net-gen
log-last xxx-grad-test net-hist
log-records xxx-mc net-mc
log-types xxx-stepsizes net-plt
numin net-pred
numin-test net-prior
quantities net-quantities
rand-seed net-rej
rand-test net-spec
series
xxx-hist
xxx-plt
* log Facilities for handling log files
log-types Types of log file records used by various programs
log-copy Copy part of a log file to a new log file
log-last Display the index of the last record in a log file
log-records List all records in a log file
* data-spec Specify data sets for training and testing
* numin Facilities for input of numeric data
numin-test Test numeric input module
grid Output a grid of points
extract Extract items at random from a data file
* rand-seed Specify a random number seed
rand-test Test random number generators
* quantities Numeric quantities obtainable from log files
* xxx-plt Write quantities from a log file, suitable for plotting
xxx-hist Build a histogram for a quantity obtained from a log file
* series Analyse stationary time series data
* mc Programs and modules supporting Markov chain Monte Carlo
* mc-spec Specify how to do the Markov chain simulation
* xxx-mc Run Markov chain simulation
* mc-quantities Quantities from log files relating to Monte Carlo
mc-temp-sched Specify temperature schedule for tempering methods
mc-temp-filter Copy only iterations at a given temperature
xxx-grad-test Test the correctness of the energy gradient computations
xxx-stepsizes Display and evaluate stepsizes used for dynamics
* net Bayesian inference for neural networks using MCMC
* net-spec Create a new network, or display existing specifications
* net-prior Form of prior specifications for network models
* net-mc Do Markov chain simulation to sample networks
* net-gen Generate networks from the prior, or with fixed values
* net-display Print network parameters and/or hyperparameters
* net-quantities Quantities from log files relating to networks
* net-plt Get quantities from a net log file, suitable for plotting
net-hist Build histogram for quantity obtained from a net log file
* net-pred Make predictions for test cases
net-eval Evaluate network functions over a grid
net-dvar Find the variance of a difference in function values
net-rej Generate networks from the posterior by rejection sampling
bvg Demo of Markov chain sampling from a bivariate Gaussian
bvg-spec Specify a bivariate Gaussian distribution to sample from
bvg-mc Do Markov chain simulation for a bivariate Gaussian
bvg-plt Get quantities from a bvg log file, suitable to plot