# Adaptive truncation of infinite sums: applications to Statistics

@inproceedings{Carvalho2022AdaptiveTO, title={Adaptive truncation of infinite sums: applications to Statistics}, author={Luiz Max Carvalho and Guido A. Moreira}, year={2022} }

It is often the case in Statistics that one needs to compute sums of inﬁnite series, especially in marginalising over discrete latent variables. This has become more relevant with the popularization of gradient-based techniques (e.g. Hamiltonian Monte Carlo) in the Bayesian inference context, for which discrete latent variables are hard or impossible to deal with. For many major inﬁnite series, like the Hurwitz Zeta function or the Conway-Maxwell Poisson normalising constant, custom algorithms…

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