…but additionally alternatives! Hidden Markov fashions (HMMs) and their extensions are engaging strategies for analysing ecological knowledge. In recent times, quite a lot of extensions of the fundamental mannequin have been proposed, yielding nice alternatives for ecological inference. But, as these fashions grow to be extra advanced and difficult to know, it is very important take into account what pitfalls these strategies have and what alternatives there are for future analysis to handle these pitfalls.
Glennie et al. evaluate 5 pitfalls one can encounter when utilizing HMMs or their extensions to unravel ecological issues. Their intention is to intensify consciousness of the pitfalls ecologists might encounter when making use of these extra superior strategies, but additionally, by highlighting future analysis alternatives, to encourage ecological statisticians to weaken these pitfalls and supply improved strategies. The next infographic illustrates the 5 pitfalls mentioned within the paper:
To seek out out extra, learn the complete article right here: Hidden Markov fashions: pitfalls and alternatives in ecology
This publish was supplied by writer Timo Adam, a analysis fellow in statistics on the College of St Andrews.