|
a
|
Hyperparameter of prior on probability vector
|
|
b
|
Hyperparameter of prior on probability vector
|
|
|
Number of categories of the jth predictor |
|
|
ith class of dynamical systems |
|
|
Number of time-lags of variable y
|
|
|
Number of time-lags of variable
|
|
|
Number of clusters formed by
|
|
|
Dimension of the jth mixture probability vector |
|
|
Vector
|
|
L
|
Number of truncations in a Pitman-Yor process |
|
N
|
Number of iterations in Algorithm 1 |
|
q
|
Number of predictors |
|
s
|
Realization of a latent allocation-class variable |
|
T
|
Number of pairs of variables and predictors |
|
|
jth latent allocation-class variables at time t
|
|
|
jth latent allocation-class variables
|
|
|
Latent allocation-class variables at time t
|
|
|
Latent allocation-class variables
|
|
|
Variable y at time t
|
|
|
Variables
|
|
|
jth predictor at time t
|
|
|
jth predictors
|
|
|
Predictors at time t
|
|
|
Predictors
|
|
|
Hyperparameter of prior on
|
|
|
Hyperparameter of prior on
|
|
|
Variable at time t
|
|
|
Threshold |
|
|
Probability vector
|
|
|
Set of predictors |
|
|
Conditional probability tensor
|
|
|
Probability vector
|
|
|
Sequence
|
|
|
Hyperparameter of prior on
|
|
|
Probability vector
|
|
|
Collection
|
|
|
Time-invariant spatial variables for kth experiment |
|
|
Mixture probability vector
|
|
|
Mixture probability matrix
|
|
|
Mixture probability tensor
|
|
Pertinent Acronyms
|
| BF |
Bayes Factor |
| Beta |
Beta Distribution |
| Dir |
Uniform Dirichlet Distribution |
| HOSVD |
Higher order singular value decomposition |
| Mult |
Multinomial Distribution |
| ROC |
Receiver operating characteristic |