most citedHidden Markov and semi-Markov models: When and why are these models useful for classifying states in time series data?

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

stat.AP2021★ 2 cited

Hidden Markov and semi-Markov models: When and why are these models useful for classifying states in time series data?

Sofia Ruiz-Suarez, Vianey Leos-Barajas, Juan Manuel Morales

Hidden Markov models (HMMs) and their extensions have proven to be powerful tools for classification of observations that stem from systems with temporal dependence as they take in…

stat.ME2019

Approximate Bayesian inference for a "steps and turns" continuous-time random walk observed at regular time intervals

Sofia Ruiz-Suarez, Vianey Leos-Barajas, Ignacio Alvarez-Castro +1

The study of animal movement is challenging because it is a process modulated by many factors acting at different spatial and temporal scales. Several models have been proposed whi…