Read the equation
This relation defines X ~ G(a,1), Y ~ G(b,1) in the source section “random”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the source’s stated variables and conditions; this record does not assign an unprovided physical or cognitive meaning to them.
Terms & definitions
The recovered passage does not supply a separate symbol table. Read the source context for the notation used in this version; familiar letters may carry different meanings in other builds.
How it works
Read X ~ G(a,1), Y ~ G(b,1) as the quantity being defined or updated by this relation.
Substitute the source-defined variables or recorded values and follow the displayed arithmetic and indexing exactly.
Use this version’s variable definitions and update order. The same symbol may be assigned a different meaning in another build.
Assumptions & limits
This source expression was recovered from the pinned code revision. Its presence does not establish that the associated program was built, run, or scientifically validated.
Original context
Read the surrounding source passage
if (u < 1 - 0.0331 * x2 * x2) return d * v;
if (Math.log(u) < 0.5 * x2 + d * (1 - v + Math.log(v))) return d * v;
}
}
/**
* Beta(alpha, beta) draw, built from two Gamma draws:
* X ~ G(a,1), Y ~ G(b,1) => X / (X + Y) ~ Beta(a, b)
*
* This is the sampling primitive behind Thompson sampling: each topic carries a
* Beta posterior over "will this visitor engage", and we rank by a draw from it
* rather than by its mean. Sampling is what produces exploration — a topic with
* little evidence has a wide posterior and will sometimes draw high, which is
* exactly the cold-start promotion behaviour we want.
*
* @param {() => number} rng
* @param {number} alpha Successes + prior. Must be > 0.
* @param {number} beta Failures + prior. Must be > 0.Exact original notation
X ~ G(a,1), Y ~ G(b,1) => X / (X + Y) ~ Beta(a, b)