Noun:

ಸಾಮೂಹಿಕ ಸಾಮರ್ಥ್ಯ,

joint probability's Usage Examples:

strict/strictly stationary process or strong/strongly stationary process) is a stochastic process whose unconditional joint probability distribution does not change.

algorithm for obtaining a configuration of a local maximum of the joint probability of a Markov random field.

The MIMIC factorizes the joint probability distribution in a chain-like model representing.

target variable Y, a generative model is a statistical model of the joint probability distribution on X × Y, P ( X , Y ) {\displaystyle P(X,Y)} ; A discriminative.

When the joint probability density of the random variables is strictly positive, it is also referred.

conditional on the value of a sufficient statistic for a parameter, the joint probability distribution of the data does not depend on that parameter.

the unknown joint probability distribution for x → {\displaystyle {\vec {x}}} and y {\displaystyle y} .

This can be calculated by summing the joint probability distribution over all values of Y.

Wavenet factorised the joint probability of a waveform x { x 1 , .

For example, when teaching the joint probability of two independent events, teachers often explain the abstract procedure.

{\displaystyle X,Y,\ldots } , that are defined on a probability space, the joint probability distribution for X , Y , … {\displaystyle X,Y,\ldots } is a probability.

on the probability distribution of a statistic, rather than on the joint probability distribution of all the individual sample values.

(which may be finitely or infinitely long) whose joint probability distribution does not change when the positions in the sequence in.

Synonyms:

chance, probability,

Antonyms:

impossibility, planned, improbability,