Riccardo Rastelli

Computationally efficient inference for latent position network models

2018 · arXiv (Cornell University)

Latent position models are widely used for the analysis of networks in a variety of research fields. In fact, these models possess a number of desirable theoretical properties, and are particularly easy to interpret. However, …

Bayesian inference for spatio-temporal hidden Markov models using the exchange algorithm

2025 · arXiv (Cornell University)

Spatio-temporal hidden Markov models are extremely difficult to estimate because their latent joint distributions are available only in trivial cases. In the estimation phase, these latent distributions are usually substituted with pseudo-distributions, which could affect …