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  2. Kullback–Leibler divergence - Wikipedia

    en.wikipedia.org/wiki/Kullback–Leibler_divergence

    A simple interpretation of the KL divergence of P from Q is the expected excess surprise from using Q as a model instead of P when the actual distribution is P. While it is a measure of how different two distributions are, and in some sense is thus a "distance", it is not actually a metric , which is the most familiar and formal type of distance.

  3. Koutecký–Levich equation - Wikipedia

    en.wikipedia.org/wiki/Koutecký–Levich_equation

    B L is the Levich Constant. ω is the angular rotation rate of the electrode (rad/s) From an experimental data set where the current is measured at different rotation rates, it is possible to extract the kinetic current from a so-called Koutecký–Levich plot.

  4. Total variation distance of probability measures - Wikipedia

    en.wikipedia.org/wiki/Total_variation_distance...

    The total variation distance (or half the norm) arises as the optimal transportation cost, when the cost function is (,) =, that is, ‖ ‖ = (,) = {(): =, =} = ⁡ [], where the expectation is taken with respect to the probability measure on the space where (,) lives, and the infimum is taken over all such with marginals and , respectively.

  5. Hellinger distance - Wikipedia

    en.wikipedia.org/wiki/Hellinger_distance

    To define the Hellinger distance in terms of elementary probability theory, we take λ to be the Lebesgue measure, so that dP / dλ and dQ / dλ are simply probability density functions.

  6. f-divergence - Wikipedia

    en.wikipedia.org/wiki/F-divergence

    Many common divergences, such as KL-divergence, Hellinger distance, and total variation distance, are special cases of ... Plugging the formula into () = () ...

  7. Taylor knock-out factor - Wikipedia

    en.wikipedia.org/wiki/Taylor_knock-out_factor

    Taylor himself acknowledged this, stating "in the case of soft-skinned non-dangerous game, such as is generally shot at medium to long ranges, theoretical mathematical energy may possibly prove a more reliable guide" and that his formula was designed to measure a cartridge's performance against the large, thick skinned, big boned elephant. [4]

  8. Kosambi–Karhunen–Loève theorem - Wikipedia

    en.wikipedia.org/wiki/Kosambi–Karhunen–Loève...

    The covariance function K X satisfies the definition of a Mercer kernel. By Mercer's theorem, there consequently exists a set λ k, e k (t) of eigenvalues and eigenfunctions of T K X forming an orthonormal basis of L 2 ([a,b]), and K X can be expressed as

  9. Binding constant - Wikipedia

    en.wikipedia.org/wiki/Binding_constant

    It is associated with the binding and unbinding reaction of receptor (R) and ligand (L) molecules, which is formalized as: R + L ⇌ RL. The reaction is characterized by the on-rate constant k on and the off-rate constant k off, which have units of M −1 s −1 and s −1, respectively. In equilibrium, the forward binding transition R + L → ...