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  1. Curriculum
  2. /Quantitative research

PROB

Probability

Conditioning, distributions, expectation and the handful of techniques that turn most interview probability questions into one-liners.

Shared from Trading and market making
  1. 1

    Conditioning and Bayes

    Updating on evidence, why base rates dominate, and the classic traps that come from conditioning on the wrong event.

    • 1.1Conditional probability and Bayes12 min
  2. 2

    Distributions

    The dozen distributions worth knowing by recall, what each one describes, and the sums you can do in your head.

    • 2.1The distributions you have to know cold13 min
  3. 3

    Expectation, variance and the big tricks

    The three moves that solve most of what you will be asked: linearity with indicators, conditioning with the tower property, and setting up a recursion when a game can repeat.

    • 3.1Linearity of expectation9 min
    • 3.2Conditioning: the tower property11 min
    • 3.3Recursive expected value and the re-roll family12 min
  4. 4

    Random walks and Markov chains

    Boundary problems as systems of equations, gambler’s ruin, hitting times and the pattern-waiting family.

    • 4.1Random walks and gambler’s ruin13 min
    • 4.2Markov chains: states, transitions and hitting times22 min
  5. 5

    Order statistics and extremes

    Distributions of minima and maxima, expected ranges and spacings, and optimal stopping.

    • 5.1Order statistics: maxima, minima and the gaps between13 min
  6. 6

    Simulation and Monte Carlo

    Inverse transform, rejection sampling, simulating one distribution from another, and variance reduction.

    • 6.1Simulation: making randomness you want out of randomness you have13 min
← Previous topicCOMB · Counting and combinatoricsNext topic →STAT · Statistics and inference

QuantMax · 141 lessons · 1342 questions · c5c0caa

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