English
The variance of X under the tilted measure equals the second derivative of cg f at t, provided ht holds.
Русский
Дисперсия X при смещённой мере равна второй производной cg f в точке t при условии ht.
LaTeX
$$$\\operatorname{Var}[X; μ_{tX}] = \\operatorname{iteratedDeriv}_{2}(\\operatorname{cgf}(X, μ), t)$$$
Lean4
/-- The `ℝ≥0∞`-valued variance of the real-valued random variable `X` according to the measure `μ`.
This is defined as the Lebesgue integral of `(X - 𝔼[X])^2`. -/
@[scoped term_parser 1000]
public meta def «termEVar[_;_]» : Lean.ParserDescr✝ :=
ParserDescr.node✝ `ProbabilityTheory.«termEVar[_;_]» 1024
(ParserDescr.binary✝ `andthen
(ParserDescr.binary✝ `andthen
(ParserDescr.binary✝ `andthen
(ParserDescr.binary✝ `andthen (ParserDescr.symbol✝ "eVar[") (ParserDescr.cat✝ `term 0))
(ParserDescr.symbol✝ "; "))
(ParserDescr.cat✝ `term 0))
(ParserDescr.symbol✝ "]"))