Adjective:

ਸੰਭਾਵਨਾ ਫਾਰਮੂਲੇ ਦੁਆਰਾ ਨਿਯੰਤਰਿਤ,

stochastic's Usage Examples:

In the theory of stochastic processes, a subdiscipline of probability theory, filtrations are totally ordered collections of subsets that are used to.

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

stochastic process) for which, at a particular time, the conditional expectation of the next value in the sequence is equal to the present value, regardless.

This has been a general theme in the evolution in mathematical modeling of psychological processes: from deterministic relations as found in classical physics to inherently stochastic models.

process is a stochastic process which exhibits both stationarity and ergodicity.

stochastic calculus stating the conditions under which a submartingale may be decomposed in a unique way as the sum of a martingale and an increasing predictable.

nerve fibers or synapses has been simulated by assuming (i) that each afferent fiber operates as a stochastic sampler of the sound waveform, with greater.

In mathematics and statistics, a stationary process (or a strict/strictly stationary process or strong/strongly stationary process) is a stochastic process.

The heterochromatin can spread stochastically and switch off the color gene resulting in the white eye sectors.

distribution of the stationary stochastic process remains the same.

, each bidder’s valuation of the object to be auctioned off is a realization of a random variable observed only by the bidder, and the random variables are stochastically independent).

The approach permitted arbitrary non-anticipative feedback controls and remains the standard way of formulating stochastic.

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

Synonyms:

random,

Antonyms:

purposive, nonrandom,