A generalized linear model assumes that the independent responses have distributions in an exponential family, with means , and that
The invertible function is the link function; it connects the mean to the linear predictor.
For binomial regression, write independently, so . The logistic regression link is
while probit regression uses
where is the standard-normal distribution function. The logit is the canonical link function for the binomial family.
For a deterministic finite automaton the extended transition function of a deterministic finite automaton is recursively
The accepted language is
For a nondeterministic finite automaton, is the set of all states reachable from while reading ; recursively,
Thus
The powerset construction has state set , initial state , transition
and accepting states . Induction on gives
so the two automata accept exactly the same language. If and has one state, exactly of the subset states contain it and are accepting, including states that may be unreachable.
For a binary symmetric channel with crossover probability , the capacity is
where is the binary entropy. Shannon second coding theorem says that for every transmission rate and every , sufficiently long block codes exist with rate at least and decoding-error probability below ; conversely, a sequence of codes whose error tends to zero cannot have limiting rate above .
For the general channel let and be its input and output. Every conditional output distribution is a permutation of , hence
for every input distribution. Since ,
The uniform input makes every output probability equal to : the column-permutation assumption and the total sum imply that all column sums are equal to one. It therefore attains , proving
In the displayed four-output channel each row is a permutation of
With base-two logarithms,

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