Efron–Stein inequality

TheoremEfron–Stein inequality for a finite product weight#✓fully proved

Let \(\alpha\) be a finite nonempty set, let \(p : \alpha \to \mathbb{R}\) satisfy \(p(a) \ge 0\) for every \(a \in \alpha\) and \(\sum_{a \in \alpha} p(a) = 1\), let \(n \in \mathbb{N}\) and let \(f : \alpha^n \to \mathbb{R}\). For \(x = (x_1, \dots, x_n) \in \alpha^n\) write \(w(x) = \prod_{j=1}^{n} p(x_j)\), and for a coordinate \(i \in \{1, \dots, n\}\) and \(a \in \alpha\) let \(x^{(i,a)}\) be \(x\) with its \(i\)-th coordinate replaced by \(a\). Let \(\mu = \sum_{x \in \alpha^n} w(x) f(x)\). Then

\[ \sum_{x \in \alpha^n} w(x) \bigl(f(x) - \mu\bigr)^2 \le \frac{1}{2} \sum_{i=1}^{n} \sum_{x \in \alpha^n} \sum_{a \in \alpha} w(x)\, p(a) \bigl(f(x) - f(x^{(i,a)})\bigr)^2. \]
theorem efron_stein_finite_iid_general
    {α : Type*} [Fintype α] [Nonempty α]
    {n : ℕ}
    (p : α → ℝ)
    (hp_nonneg : ∀ a, 0 ≤ p a)
    (hp_sum : ∑ a : α, p a = 1)
    (f : (Fin n → α) → ℝ) :
    let μ : ℝ := ∑ x : Fin n → α, (∏ i : Fin n, p (x i)) * f x
    let var_ : ℝ :=
      ∑ x : Fin n → α, (∏ i : Fin n, p (x i)) * (f x - μ) ^ 2
    var_ ≤ (1 / 2 : ℝ) *
      ∑ i : Fin n, ∑ x : Fin n → α, ∑ a : α,
        (∏ j : Fin n, p (x j)) * p a *
          (f x - f (Function.update x i a)) ^ 2
Used by 1

TheoremEfron–Stein inequality for finite i.i.d. coordinates#✓fully proved

Let \(\alpha\) be a finite nonempty set, let \(p : \alpha \to \mathbb{R}\) satisfy \(p(a) \ge 0\) for every \(a \in \alpha\) and \(\sum_{a \in \alpha} p(a) = 1\), let \(n \in \mathbb{N}\) and let \(f : \alpha^n \to \mathbb{R}\). For \(x = (x_1, \dots, x_n) \in \alpha^n\) write \(w(x) = \prod_{j=1}^{n} p(x_j)\), and for a coordinate \(i \in \{1, \dots, n\}\) and \(a \in \alpha\) let \(x^{(i,a)}\) be \(x\) with its \(i\)-th coordinate replaced by \(a\). Let \(\mu = \sum_{x \in \alpha^n} w(x) f(x)\). Then

\[ \sum_{x \in \alpha^n} w(x) \bigl(f(x) - \mu\bigr)^2 \le \frac{1}{2} \sum_{i=1}^{n} \sum_{x \in \alpha^n} \sum_{a \in \alpha} w(x)\, p(a) \bigl(f(x) - f(x^{(i,a)})\bigr)^2. \]

In words: the variance of \(f\) under the product weight is at most half the expected sum of squared differences under independent resampling of each coordinate.

theorem efron_stein_finite_iid
    {α : Type*} [Fintype α] [DecidableEq α] [Nonempty α]
    {n : ℕ}
    (p : α → ℝ)
    (hp_nonneg : ∀ a, 0 ≤ p a)
    (hp_sum : ∑ a : α, p a = 1)
    (f : (Fin n → α) → ℝ) :
    let μ : ℝ := ∑ x : Fin n → α, (∏ i : Fin n, p (x i)) * f x
    let var_ : ℝ :=
      ∑ x : Fin n → α, (∏ i : Fin n, p (x i)) * (f x - μ) ^ 2
    var_ ≤ (1 / 2 : ℝ) *
      ∑ i : Fin n, ∑ x : Fin n → α, ∑ a : α,
        (∏ j : Fin n, p (x j)) * p a *
          (f x - f (Function.update x i a)) ^ 2
Sources
  • B. Efron and C. Stein, "The Jackknife Estimate of Variance", Annals of Statistics 9 (1981), DOI 10.1214/aos/1176345462. It follows from efron_stein_finite_iid_general; the instance [DecidableEq α] is unused and keeps the source's shape.
Uses 1
2 fully proved

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