Accord.NET Framework

## HiddenMarkovModelTDistributionPosterior Method (Array, Int32) |

Calculates the probability of each hidden state for each observation
in the observation vector, and uses those probabilities to decode the
most likely sequence of states for each observation in the sequence
using the posterior decoding method. See remarks for details.

Syntax

Request Example
View Source#### Parameters

#### Return Value

Type: Double

A vector of the same size as the observation vectors, containing the probabilities for each state in the model for the current observation. If there are 3 states in the model, and the observations array contains 5 elements, the resulting vector will contain 5 vectors of size 3 each. Each vector of size 3 will contain probability values that sum up to one.#### Implements

IHiddenMarkovModelPosterior(Array, Int32)

- observations
- Type: SystemArray

A sequence of observations. - path
- Type: SystemInt32

The sequence of states most likely associated with each observation, estimated using the posterior decoding method.

A vector of the same size as the observation vectors, containing the probabilities for each state in the model for the current observation. If there are 3 states in the model, and the observations array contains 5 elements, the resulting vector will contain 5 vectors of size 3 each. Each vector of size 3 will contain probability values that sum up to one.

Remarks

If there are 3 states in the model, and the observations
array contains 5 elements, the resulting vector will contain 5 vectors of
size 3 each. Each vector of size 3 will contain probability values that sum
up to one. By following those probabilities in order, we may decode those
probabilities into a sequence of most likely states. However, the sequence
of obtained states may not be valid in the model.

See Also