  Motivated by recent interests in predictive inference under distribution
shift, we study the problem of approximating finite weighted exchangeable
sequences by a mixture of finite sequences with independent terms. Various
bounds are derived in terms of weight functions, extending previous results on
finite exchangeable sequences. As a byproduct, we obtain a version of de
Finetti's theorem for infinite weighted exchangeable sequences.
