Adjective:

সম্ভাব্যতার সূত্রাবলি দ্বারা নিয়ন্ত্রিত,

stochastic's Usage Examples:

fields, a stochastic (/stoʊˈkæstɪk/) or random process is a mathematical object usually defined as a family of random variables.

Although stochasticity.

A stochastic differential equation (SDE) is a differential equation in which one or more of the terms is a stochastic process, resulting in a solution.

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

Stochastic calculus is a branch of mathematics that operates on stochastic processes.

Recent scholarship and news reports have used the terms stochastic terrorism and scripted violence to describe how lone-wolf terrorism functions.

statistics and the theory of stochastic processes.

Two events are independent, statistically independent, or stochastically independent if the occurrence.

A Markov chain is a stochastic model describing a sequence of possible events in which the probability of each event depends only on the state attained.

stochastic processes.

Malliavin calculus is also called the stochastic calculus.

(round-robin) and WRR (weighted round robin) SFB (stochastic fair blue) as well as RSFB (resilient SFB) SFQ (stochastic fairness queuing) TBF (token bucket filter).

In mathematics, a stochastic matrix is a square matrix used to describe the transitions of a Markov chain.

The random or stochastic error in a measurement is the error that is random from one measurement to the next.

calculus to stochastic processes such as Brownian motion (see Wiener process).

It has important applications in mathematical finance and stochastic differential.

cells, supporting the theory that this is a stochastic, reversible process.

Another level at which stochasticity may be important is in the process of apoptosis.

own previous values and on a stochastic term (an imperfectly predictable term); thus the model is in the form of a stochastic difference equation (or recurrence.

Events are often triggered when a stochastic or random process first encounters a threshold.

t-distributed stochastic neighbor embedding (t-SNE) is a statistical method for visualizing high-dimensional data by giving each datapoint a location in.

Synonyms:

random;

Antonyms:

purposive; nonrandom;