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    • Analogy
    • What Can Be Confusing When Learning MCMC
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    There is a mountain and you want to know the approximate shape and where the peaks are, this is the goal.
    But you cannot see nor measure the mountain, this is the problem.
    You have a GPS so you know the coordinate of wherever you go, and you know you are climbing or descending when you make a next step.

    Text book or article that: 1. Immediately starts with math formulas on how to do MCMC with no intuition nor idea behind explained. If we understand the ideas first, we can derive the math formulas. But it is super hard to reverse-engineer the ideas and intuitions from math formulas. 2. Does not give the intuition or analogy that a probability distr...

    Youtube video Markov Chain Monte Carlogives the intuition that MCMC is like a mountain trekking to figure out the shape by random-walk the mountain. Having such concrete image will give the foundat...
    The Markov Chain Monte Carlo Revolution and CS168: The Modern Algorithmic Toolbox Lecture #14: Markov Chain Monte Carlogives the MCMC application to cryptography.

    Learn what Markov Chain Monte Carlo (MCMC) is, why it is used, and how it works with examples and references. MCMC is a method to generate random draws from a target distribution by using a Markov chain that converges to it.

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  5. 3 days ago · 3. PARLIAMENT | The Malaysian Communications and Multimedia Commission (MCMC) has blocked 549 pornographic and 69 prostitution websites from January to June 1 this year, the Dewan Rakyat was told ...

  6. Jul 27, 2021 · MCMC methods are a family of algorithms that uses Markov Chains to perform Monte Carlo estimate. The name gives us a hint, that it is composed of two components —. Monte Carlo and Markov Chain. Let us understand them separately and in their combined form.

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