probability density function
51Conditional probability distribution — Given two jointly distributed random variables X and Y, the conditional probability distribution of Y given X is the probability distribution of Y when X is known to be a particular value. If the conditional distribution of Y given X is a… …
52Compound probability distribution — In probability theory, a compound probability distribution is the probability distribution that results from assuming that a random variable is distributed according to some parametrized distribution F with an unknown parameter θ that is… …
53Network Probability Matrix — The Network Probability Matrix describes the probability structure of a network based on the historical precence or absence of edges in a network. For example, individuals in a social network are not connected to other individuals with uniform… …
54Network probability matrix — The network probability matrix describes the probability structure of a network based on the historical presence or absence of edges in a network. For example, individuals in a social network are not connected to other individuals with uniform… …
55Gaussian function — In mathematics, a Gaussian function (named after Carl Friedrich Gauss) is a function of the form::f(x) = a e^{ { (x b)^2 over 2 c^2 } }for some real constants a > 0, b , c > 0, and e ≈ 2.718281828 (Euler s number).The graph of a Gaussian is a… …
56Stability (probability) — In probability theory and statistics, the stability of a family of probability distributions is an important property which basically states that if one has a number of random variates that are in the family , any linear combination of these… …
57Normalizable wave function — In quantum mechanics, wave functions which describe real particles must be normalizable: the probability of the particle to occupy any place must equal 1. [1] Mathematically, in one dimension this is expressed as: Or identically: where the… …
58Normalisable wave function — In quantum mechanics, wave functions which describe real particles must be normalisablefn|1: the probability of the particle to occupy any place must equal 1. Mathematically, in one dimension this is expressed as :int {A}^{B} psi^*(x)psi(x)… …
59Cantor function — In mathematics, the Cantor function, named after Georg Cantor, is an example of a function that is continuous, but not absolutely continuous. DefinitionThe Cantor function c : [0,1] → [0,1] is defined as follows:#Express x in base 3. If possible …
60List of probability distributions — Many probability distributions are so important in theory or applications that they have been given specific names.Discrete distributionsWith finite support* The Bernoulli distribution, which takes value 1 with probability p and value 0 with… …
