⚡ This is your brand? Claim your page free and bring it to life on AI search.

PostsP(\theta)\thetaDP(\theta\vert D)DP(\theta\vert D)\pi(\theta)\pi(\theta) = P(\theta\vert D)=\dfrac{P(D\vert\theta)P(\theta)}{P(D)}P(D\vert \theta)P(D\vert \theta)P(\theta)\pi(\theta)P(D)P(D)\thetaP(D) = \int_{\Theta} P(D\vert\theta)P(\theta)\text{d}\theta\pi(\theta)\pi(\theta)\theta_1, \dots, \theta_N\theta\begin{split} P(D) &= \int_{\Theta} P(D\vert \theta)P(\theta)\text{d}\theta \\ &\approx \dfrac{1}{N}\sum_{i=1}^N P(D\vert\theta^{(i)})\end{split}N\pi(\theta)\theta(R, +, \cdot, 0, 1)R(+, \cdot)(0, 1)\bf{Ring}\bf{Rng}\it{I}: \bf{Ring} \rightarrow \bf{Rng}\it{A}: \bf{Rng} \rightarrow \bf{Ab}\it{A}\it{A}(S, \cdot, e)S\cdote\it{M}: \bf{Ring} \rightarrow \bf{Mon}\bf{Mon}\mathcal{X}(X, *, e)\mathcal{Y}(Y, *’, f)\it{\phi}: \mathcal{X} \rightarrow \mathcal{Y}\mathcal{X}\mathcal{Y}\begin{equation}\phi(a * b) = \phi(a) *' \phi(b), \forall a\; b \in \mathcal{X}\end{equation}\begin{equation}\phi(e) = f\end{equation}

PostsP(\theta)\thetaDP(\theta\vert D)DP(\theta\vert D)\pi(\theta)\pi(\theta) = P(\theta\vert D)=\dfrac{P(D\vert\theta)P(\theta)}{P(D)}P(D\vert \theta)P(D\vert \theta)P(\theta)\pi(\theta)P(D)P(D)\thetaP(D) = \int_{\Theta} P(D\vert\theta)P(\theta)\text{d}\theta\pi(\theta)\pi(\theta)\theta_1, \dots, \theta_N\theta\begin{split} P(D) &= \int_{\Theta} P(D\vert \theta)P(\theta)\text{d}\theta \\ &\approx \dfrac{1}{N}\sum_{i=1}^N P(D\vert\theta^{(i)})\end{split}N\pi(\theta)\theta(R, +, \cdot, 0, 1)R(+, \cdot)(0, 1)\bf{Ring}\bf{Rng}\it{I}: \bf{Ring} \rightarrow \bf{Rng}\it{A}: \bf{Rng} \rightarrow \bf{Ab}\it{A}\it{A}(S, \cdot, e)S\cdote\it{M}: \bf{Ring} \rightarrow \bf{Mon}\bf{Mon}\mathcal{X}(X, *, e)\mathcal{Y}(Y, *’, f)\it{\phi}: \mathcal{X} \rightarrow \mathcal{Y}\mathcal{X}\mathcal{Y}\begin{equation}\phi(a * b) = \phi(a) *' \phi(b), \forall a\; b \in \mathcal{X}\end{equation}\begin{equation}\phi(e) = f\end{equation}

Unclaimed

AEO Score: 3/10

Monitoring for AI engine activity

In the Engagemii AEO index

joa.sh

About PostsP(\theta)\thetaDP(\theta\vert D)DP(\theta\vert D)\pi(\theta)\pi(\theta) = P(\theta\vert D)=\dfrac{P(D\vert\theta)P(\theta)}{P(D)}P(D\vert \theta)P(D\vert \theta)P(\theta)\pi(\theta)P(D)P(D)\thetaP(D) = \int_{\Theta} P(D\vert\theta)P(\theta)\text{d}\theta\pi(\theta)\pi(\theta)\theta_1, \dots, \theta_N\theta\begin{split} P(D) &= \int_{\Theta} P(D\vert \theta)P(\theta)\text{d}\theta \\ &\approx \dfrac{1}{N}\sum_{i=1}^N P(D\vert\theta^{(i)})\end{split}N\pi(\theta)\theta(R, +, \cdot, 0, 1)R(+, \cdot)(0, 1)\bf{Ring}\bf{Rng}\it{I}: \bf{Ring} \rightarrow \bf{Rng}\it{A}: \bf{Rng} \rightarrow \bf{Ab}\it{A}\it{A}(S, \cdot, e)S\cdote\it{M}: \bf{Ring} \rightarrow \bf{Mon}\bf{Mon}\mathcal{X}(X, *, e)\mathcal{Y}(Y, *’, f)\it{\phi}: \mathcal{X} \rightarrow \mathcal{Y}\mathcal{X}\mathcal{Y}\begin{equation}\phi(a * b) = \phi(a) *' \phi(b), \forall a\; b \in \mathcal{X}\end{equation}\begin{equation}\phi(e) = f\end{equation}

Blog Archive Projects Visualizing the Metropolis Algorithm August 21, 2016 Let’s say you’re doing some sort of Bayesian analysis.

Key Topics

Visualizing the Metropolis Algorithm
Free monads in category theory
Free monads in 7 easy steps
How does HaxlSharp work?
What's wrong with async/ await?

Details

Category: Technology

joa.sh

AI Visibility Breakdown

1

Structured Data

4

Content Structure

4

Entity Clarity

2

E-E-A-T Signals

5

Technical AEO

2

AI Discoverability

Is this your brand?

Claim your free page to manage and improve your AI visibility score.

Already have an account? Sign in

Picked for PostsP(\theta)\thetaDP(\theta\vert D)DP(\theta\vert D)\pi(\theta)\pi(\theta) = P(\theta\vert D)=\dfrac{P(D\vert\theta)P(\theta)}{P(D)}P(D\vert \theta)P(D\vert \theta)P(\theta)\pi(\theta)P(D)P(D)\thetaP(D) = \int_{\Theta} P(D\vert\theta)P(\theta)\text{d}\theta\pi(\theta)\pi(\theta)\theta_1, \dots, \theta_N\theta\begin{split} P(D) &= \int_{\Theta} P(D\vert \theta)P(\theta)\text{d}\theta \\ &\approx \dfrac{1}{N}\sum_{i=1}^N P(D\vert\theta^{(i)})\end{split}N\pi(\theta)\theta(R, +, \cdot, 0, 1)R(+, \cdot)(0, 1)\bf{Ring}\bf{Rng}\it{I}: \bf{Ring} \rightarrow \bf{Rng}\it{A}: \bf{Rng} \rightarrow \bf{Ab}\it{A}\it{A}(S, \cdot, e)S\cdote\it{M}: \bf{Ring} \rightarrow \bf{Mon}\bf{Mon}\mathcal{X}(X, *, e)\mathcal{Y}(Y, *’, f)\it{\phi}: \mathcal{X} \rightarrow \mathcal{Y}\mathcal{X}\mathcal{Y}\begin{equation}\phi(a * b) = \phi(a) *' \phi(b), \forall a\; b \in \mathcal{X}\end{equation}\begin{equation}\phi(e) = f\end{equation}: Tech & Electronics

Tech Shoppers Do More Research Than Anyone. Are You There When They're Looking?

Tech buyers are the most research-intensive shoppers on the internet.

Continue reading in your free Engagemii portal

Free signup unlocks the full article plus your personalized AEO fix list for PostsP(\theta)\thetaDP(\theta\vert D)DP(\theta\vert D)\pi(\theta)\pi(\theta) = P(\theta\vert D)=\dfrac{P(D\vert\theta)P(\theta)}{P(D)}P(D\vert \theta)P(D\vert \theta)P(\theta)\pi(\theta)P(D)P(D)\thetaP(D) = \int_{\Theta} P(D\vert\theta)P(\theta)\text{d}\theta\pi(\theta)\pi(\theta)\theta_1, \dots, \theta_N\theta\begin{split} P(D) &= \int_{\Theta} P(D\vert \theta)P(\theta)\text{d}\theta \\ &\approx \dfrac{1}{N}\sum_{i=1}^N P(D\vert\theta^{(i)})\end{split}N\pi(\theta)\theta(R, +, \cdot, 0, 1)R(+, \cdot)(0, 1)\bf{Ring}\bf{Rng}\it{I}: \bf{Ring} \rightarrow \bf{Rng}\it{A}: \bf{Rng} \rightarrow \bf{Ab}\it{A}\it{A}(S, \cdot, e)S\cdote\it{M}: \bf{Ring} \rightarrow \bf{Mon}\bf{Mon}\mathcal{X}(X, *, e)\mathcal{Y}(Y, *’, f)\it{\phi}: \mathcal{X} \rightarrow \mathcal{Y}\mathcal{X}\mathcal{Y}\begin{equation}\phi(a * b) = \phi(a) *' \phi(b), \forall a\; b \in \mathcal{X}\end{equation}\begin{equation}\phi(e) = f\end{equation}.

Source & Attribution

Scored by Engagemii on May 29, 2026. Methodology: engagemii.com/aeo/methodology

Source URL: https://engagemii.com/aeo/brands/joa-sh

Cite this score: Engagemii (2026). "AEO Score for PostsP(\theta)\thetaDP(\theta\vert D)DP(\theta\vert D)\pi(\theta)\pi(\theta) = P(\theta\vert D)=\dfrac{P(D\vert\theta)P(\theta)}{P(D)}P(D\vert \theta)P(D\vert \theta)P(\theta)\pi(\theta)P(D)P(D)\thetaP(D) = \int_{\Theta} P(D\vert\theta)P(\theta)\text{d}\theta\pi(\theta)\pi(\theta)\theta_1, \dots, \theta_N\theta\begin{split} P(D) &= \int_{\Theta} P(D\vert \theta)P(\theta)\text{d}\theta \\ &\approx \dfrac{1}{N}\sum_{i=1}^N P(D\vert\theta^{(i)})\end{split}N\pi(\theta)\theta(R, +, \cdot, 0, 1)R(+, \cdot)(0, 1)\bf{Ring}\bf{Rng}\it{I}: \bf{Ring} \rightarrow \bf{Rng}\it{A}: \bf{Rng} \rightarrow \bf{Ab}\it{A}\it{A}(S, \cdot, e)S\cdote\it{M}: \bf{Ring} \rightarrow \bf{Mon}\bf{Mon}\mathcal{X}(X, *, e)\mathcal{Y}(Y, *’, f)\it{\phi}: \mathcal{X} \rightarrow \mathcal{Y}\mathcal{X}\mathcal{Y}\begin{equation}\phi(a * b) = \phi(a) *' \phi(b), \forall a\; b \in \mathcal{X}\end{equation}\begin{equation}\phi(e) = f\end{equation}." Retrieved from https://engagemii.com/aeo/brands/joa-sh

Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.

Powered by Engagemii - AI Brand Discovery and AEO Platform