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  2. Regular conditional probability - Wikipedia

    en.wikipedia.org/wiki/Regular_conditional...

    For working with , it is important that it be regular, that is: . For almost all x, (,) is a probability measure; For all A, (,) is a measurable function; In other words is a Markov kernel.

  3. Basic reproduction number - Wikipedia

    en.wikipedia.org/wiki/Basic_reproduction_number

    is the average number of people infected from one other person. For example, Ebola has an of two, so on average, a person who has Ebola will pass it on to two other people.. In epidemiology, the basic reproduction number, or basic reproductive number (sometimes called basic reproduction ratio or basic reproductive rate), denoted (pronounced R nought or R zero), [1] of an infection is the ...

  4. Ratio distribution - Wikipedia

    en.wikipedia.org/wiki/Ratio_distribution

    Given two (usually independent) random variables X and Y, the distribution of the random variable Z that is formed as the ratio Z = X/Y is a ratio distribution. An example is the Cauchy distribution (also called the normal ratio distribution ), which comes about as the ratio of two normally distributed variables with zero mean.

  5. Risk matrix - Wikipedia

    en.wikipedia.org/wiki/Risk_matrix

    Risk is the lack of certainty about the outcome of making a particular choice. Statistically, the level of downside risk can be calculated as the product of the probability that harm occurs (e.g., that an accident happens) multiplied by the severity of that harm (i.e., the average amount of harm or more conservatively the maximum credible amount of harm).

  6. Uncorrelatedness (probability theory) - Wikipedia

    en.wikipedia.org/wiki/Uncorrelatedness...

    In general, uncorrelatedness is not the same as orthogonality, except in the special case where at least one of the two random variables has an expected value of 0. In this case, the covariance is the expectation of the product, and X {\displaystyle X} and Y {\displaystyle Y} are uncorrelated if and only if E ⁡ [ X Y ] = 0 {\displaystyle ...

  7. Phi coefficient - Wikipedia

    en.wikipedia.org/wiki/Phi_coefficient

    In statistics, the phi coefficient (or mean square contingency coefficient and denoted by φ or r φ) is a measure of association for two binary variables.. In machine learning, it is known as the Matthews correlation coefficient (MCC) and used as a measure of the quality of binary (two-class) classifications, introduced by biochemist Brian W. Matthews in 1975.

  8. Moral Injury: The Grunts - The Huffington Post

    projects.huffingtonpost.com/moral-injury/the...

    Almost 2 million men and women who served in Iraq or Afghanistan are flooding homeward, profoundly affected by war. Their experiences have been vivid. Dazzling in the ups, terrifying and depressing in the downs. The burning devotion of the small-unit brotherhood, the adrenaline rush of danger, the nagging fear and loneliness, the pride of service.

  9. Algebra of random variables - Wikipedia

    en.wikipedia.org/wiki/Algebra_of_random_variables

    If X = X * then the random variable X is called "real". An expectation E on an algebra A of random variables is a normalized, positive linear functional. What this means is that E[k] = k where k is a constant; E[X * X] ≥ 0 for all random variables X; E[X + Y] = E[X] + E[Y] for all random variables X and Y; and; E[kX] = kE[X] if k is a ...