Compute normalized probabilities from unnormalized log-probabilities.
Vector of unnormalized log-probabilities.
Guards against underflow or overflow by adjusting the log-probabilities so that the largest probability is 1.
Normalized probabilities such that the sum is equal to 1.
Peter Carbonetto [email protected]
P. Carbonetto and M. Stephens (2012). Scalable variational inference for Bayesian variable selection in regression, and its accuracy in genetic association studies. Bayesian Analysis 7, 73–108.
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