Jensen inequality probability
WebThis video is dedicated to introducing Jensen's inequality and applications of it to establishing inequalities of various kinds. We use it to prove the arithmetic geometric mean inequality... WebDec 24, 2024 · STA 711 Week 5 R L Wolpert Theorem 1 (Jensen’s Inequality) Let ϕ be a convex function on R and let X ∈ L1 be integrable. Then ϕ E[X]≤ E ϕ(X) One proof with a nice geometric feel relies on finding a tangent line to the graph of ϕ at the point µ = E[X].To start, note by convexity that for any a < b < c, ϕ(b) lies below the value at x = b of the linear …
Jensen inequality probability
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Webas generalized Jensen Inequalities Ilja Klebanov1 April 12, 2024 Abstract. Jensen’s inequality is ubiquitous in measure and probability theory, statistics, machine learning, information theory and many other areas of mathematics and data sci-ence. It states that, for any convex function f: K!R on a convex domain K Rd and WebJensen's inequality is an inequality involving convexity of a function. We first make the following definitions: A function is convex on an interval I I if the segment between any two points taken on its graph ( ( in I) I) lies above the graph. An example of a convex function is f (x)=x^2 f (x) = x2. A function is concave on an interval
WebOur first bound is perhaps the most basic of all probability inequalities, and it is known as Markov’s inequality. Given its basic-ness, it is perhaps unsurprising that its proof is essentially only one line. Proposition 1 (Markov’s inequality). LetZ ≥ 0 beanon-negativerandom variable. Thenforallt ≥ 0, P(Z ≥ t) ≤ E[Z] t. WebJul 31, 2024 · Jensen’s Inequality is a useful tool in mathematics, specifically in applied fields such as probability and statistics. For example, it is often used as a tool in …
WebMar 24, 2024 · Jensen's Inequality. If , ..., are positive numbers which sum to 1 and is a real continuous function that is convex, then. which can be exponentiated to give the … The classical form of Jensen's inequality involves several numbers and weights. The inequality can be stated quite generally using either the language of measure theory or (equivalently) probability. In the probabilistic setting, the inequality can be further generalized to its full strength. Finite form For a real convex … See more In mathematics, Jensen's inequality, named after the Danish mathematician Johan Jensen, relates the value of a convex function of an integral to the integral of the convex function. It was proved by Jensen in 1906, … See more Form involving a probability density function Suppose Ω is a measurable subset of the real line and f(x) is a non-negative function such that $${\displaystyle \int _{-\infty }^{\infty }f(x)\,dx=1.}$$ See more • Jensen's Operator Inequality of Hansen and Pedersen. • "Jensen inequality", Encyclopedia of Mathematics, EMS Press, 2001 [1994] See more Jensen's inequality can be proved in several ways, and three different proofs corresponding to the different statements above will be offered. Before embarking on these mathematical derivations, however, it is worth analyzing an intuitive graphical argument … See more • Karamata's inequality for a more general inequality • Popoviciu's inequality • Law of averages See more
WebNov 24, 2024 · Jensen's inequality is strict if the function is strictly convex and the distribution is non-degenerate. If the function is twice differentiable there's an explicit lower bound on the difference described here Share Cite Improve this answer Follow answered Nov 24, 2024 at 0:15 Thomas Lumley 29.1k 1 37 100 Add a comment Your Answer Post … leeya rose jacksonWebJun 21, 2024 · with the inequality becoming strict if convexity is strict, unless \(X\) is a constant with probability 1. The inequality is reversed if \(g\) is concave. Last edited: … autonvuokraus malagan lentokenttäWebMay 28, 2024 · Jensen’s Inequality Cauchy-Schwarz Inequality This is far from being a complete list, but rather a short primer on the “greatest hits”. For each inequality below I show their proofs, as well as provide notes on where … autonvuokraus helsinkiWebSep 1, 2024 · The approach using Jensen’s inequality is by far the simplest that I know. The first step is also perhaps the cleverest: to introduce probabilistic language. Let Ω = \brω1, … auton vahaus joensuuWeb3.1 Jensen’s Inequality Here we shall state and prove a generalized, measure theoretic proof for Jensen’s inequality. In general, in probability theory, a more specific form of Jensen’s inequality is famous. But before that we shall first define a con-vex function. Definition A function (x) is defined to be convex in interval (a,b ... autonvuokraus helsinki-vantaaWebOct 25, 2024 · Wikipedia lists Jensen's inequality as ϕ ( E [ X]) ≤ E [ ϕ ( X)] for a convex function ϕ. For ϕ ( x) = x ln x that expands to E [ X] ln E [ X] ≤ E [ X ln X]. That seems opposite in sign from what you and the original question have. Are you sure a typo in the question didn't lead to a sign error in the answer? – olooney Oct 25, 2024 at 16:09 2 leeyonk sinatrahttp://cs229.stanford.edu/extra-notes/hoeffding.pdf auton vuokraus malaga kokemuksia