The phrase "a stochastic sequence of" is correct and usable in written English.
It can be used in contexts related to probability, statistics, or processes that involve randomness or uncertainty.
Example: "The researchers analyzed a stochastic sequence of events to understand the underlying patterns in the data."
Alternatives: "a random series of" or "a probabilistic sequence of".
The present paper discusses evidence and diagnostics for the primary energy release and energy transport, focusing on i) the hypothesis that active stellar coronae are heated by a stochastic sequence of flares, and ii) that these flares involve chromospheric evaporation to increase the coronal temperature, its emission measure, and the electron density.
To obtain a potentially large sample from the posterior distribution we use a Markov chain, which is a stochastic sequence of numbers where each value in the sequence depends only upon the last.
The probability that a siRNA molecule collides with a RISC molecule in Δt is given by: (1) Thus we have a stochastic sequence of events characterized by the probability of collision, and it is important to determine whether the collision will create the reaction.
Almost sure convergence of a stochastic sequence is denoted by (xrightarrow [M to infty ]{a.s.}), and (xrightarrow [M to infty ]) denotes convergence of a deterministic sequence.
Let be a stochastic sequence defined as in Section 1, a sequence of nonzero random variables such that is -measurable, and a sequence of real numbers.
Let be a stochastic sequence defined as in Section 1 and a sequence of nondecreasing and nonnegative Borel functions on.
A probability is usually represented by a proportional number of 1's in a stochastic sequence.
Since it is difficult, if not impossible, to compute the STM or SSD of a large GRN by using an accurate or approximate analysis, the CSSBN time-frame expansion approach provides an alternative means to accurately and efficiently estimate the SSD of a large network with a tunable accuracy by using stochastic sequences of different lengths.
As an efficient alternative to an STM-based analysis, the stochastic simulation of CSSBNs provides flexibility in achieving a tunable accuracy-efficiency tradeoff by using stochastic sequences of different lengths.
We perform the analysis under alternative pricing assumptions producer or local currency pricing, along with nominal wage stickiness; under arbitrary degrees of asset market completeness and for general stochastic sequences of devaluations.
The selection probability of the new context is then obtained as encoded in the output stochastic sequences of the multiplexers.
