## Hidden Markov models

Hidden Markov models (HMMs) are a class of Markov models where the same states of a random variable (e.g. the four nucleotides of DNA) can be generated by di...

Hidden Markov models (HMMs) are a class of Markov models where the same states of a random variable (e.g. the four nucleotides of DNA) can be generated by di...

Markov processes model the change in random variables along a time dimension, and obey the Markov property. Informally, the Markov property requires that the...

When computing PSSMs, averaging does not take into account the amount of information available in a multiple sequence alignment (MSA) used to construct a PSS...

Bayesian statistics is the practice of updating the probability of the value of some parameter θ of model M being the true value, based on observations (D fo...

The probability of a value can mean its probability of being the true value of some parameter θ, conditional on some model M or ensemble of models. It can al...