The phrase "a function of prior" is correct and usable in written English.
It can be used in contexts discussing relationships or dependencies between variables, particularly in fields like statistics, mathematics, or data analysis.
Example: "The outcome of the experiment is a function of prior conditions and variables that were set."
Alternatives: "dependent on previous" or "related to earlier".
Sleep was examined as a function of prior substance use during Nights 1 2 and Nights 27 28.
Instead, I show cases in which search persistence is a function of prior behavior (Chapter 1) and prior beliefs (Chapter 2).
In addition, PLC banding was studied as a function of prior deformation under positive strain rate sensitivity conditions (i.e., at low temperature).
Bayesianism aims at providing a quantifiable, algorithmic representation of belief revision, where belief revision is a function of prior beliefs (i.e., background knowledge) and incoming evidence.
This latter notion is further detailed in Section 4, where a classification of decision making tools as a function of prior knowledge is suggested.
(This issue will be treated in more detail in Section 3, after we first see how probabilistic logics employ Bayes' theorem to represent the evidential support for hypotheses as a function of prior probabilities together with their evidential likelihoods).
A detailed characterization of the austenite grain volume distribution at room temperature was performed as a function of the prior bainitic holding time.
The first one dynamically tracks the items׳ selection probabilities for a client, as a function of its prior catalog access pattern and those of its community peers.
In fact, our results explain why a firm's eventual contract choice should be a function of its prior on the probability distribution of the local market demand.
The value of θA found using this method may be written as a function of the prior mean μ0 and standard deviation τ0, with a unique relationship for a given ratio of μ0/τ0.
The mod files packaged with these runnable examples show how to use input events not only to produce postsynaptic conductance changes, but also to modulate the amplitude of each conductance change as a function of the prior history of synaptic activation on a per-stream basis.
