💡 Words with a Similar Meaning to "Cox process"
Found via reverse dictionary — words that share a conceptual meaning.
| Word | Definition |
|---|---|
| poisson point process | In probability theory, statistics and related fields, a (also known as: Poisson random measure, Poisson random point field and Poisson point field) a type of mathematical object that consists of points randomly located on a mathematical space with the essential feature that the points occur independently of one another. |
| stochastic processnoun | (mathematics, probability theory) A function that maps elements of an index set to elements of a collection of random variables; historically, a collection of random variables indexed by a set of numbers usually regarded as points in time. |
| gaussian process | In probability theory and statistics, a Gaussian process is a stochastic process (a collection of random variables indexed by time or space), such that every finite collection of those random variables has a multivariate normal distribution. |
| stochastic differential equationnoun | (calculus) a type of differential equation in which one or more of the terms is a stochastic process resulting in a solution which is itself a stochastic process |
| exponential distributionnoun | (statistics) Any of a class of continuous probability distributions used to model the time between events that occur independently at a constant average rate. |
| poisson distributionnoun | (statistics) Any of a class of discrete probability distributions that express the probability of a given number of events occurring in a fixed time interval, where the events occur independently and at a constant average rate; describable as a limit case of either binomial or negative binomial distributions. |
| determinantal point process | In mathematics, a determinantal point process is a stochastic point process, the probability distribution of which is characterized as a determinant of some function. |
| branching processnoun | (mathematics, probability theory) A stochastic process which typically models reproduction of objects, with the assumption that the reproductions of individual particles are mutually independent. |
| compound poisson distribution | In probability theory, a compound Poisson distribution is the probability distribution of the sum of a number of independent identically-distributed random variables, where the number of terms to be added is itself a Poisson-distributed variable. |
| continuous-time markov chain | A continuous-time Markov chain is a continuous stochastic process in which, for each state, the process will change state according to an exponential random variable and then move to a different state as specified by the probabilities of a stochastic matrix. |
| discrete-time markov chainnoun | (mathematics, probability theory) A sequence of random variables, known as a stochastic process, in which the value of the next variable depends only on the value of the current variable, and not any variables in the past. |
| geometric brownian motion | A geometric Brownian motion (also known as exponential Brownian motion) is a continuous-time stochastic process in which the logarithm of the randomly varying quantity follows a Brownian motion (also called a Wiener process) with drift. |
| autocovariancenoun | (statistics) The covariance of a signal with another part of the same signal |
| probability-generating functionnoun | The generating function created from the probability mass function of a discrete random variable. |
| cross-covariance | In probability and statistics, given two stochastic processes and , the cross-covariance is a function that gives the covariance of one process with the other at pairs of time points. |
| birth process | In probability theory, a birth process or a pure birth process is a special case of a continuous-time Markov process and a generalisation of a Poisson process. |
| point process | In statistics and probability theory, a point process or point field is a set of a random number of mathematical points randomly located on a mathematical space such as the real line or Euclidean space. |
| markov kernel | In probability theory, a (also known as a stochastic kernel or probability kernel) a map that in the general theory of Markov processes plays the role that the transition matrix does in the theory of Markov processes with a finite state space. |
| asymmetric laplace distribution | In probability theory and statistics, the asymmetric Laplace distribution is a continuous probability distribution which is a generalization of the Laplace distribution. |
| poisson binomial distribution | In probability theory and statistics, the Poisson binomial distribution is the discrete probability distribution of a sum of independent Bernoulli trials that are not necessarily identically distributed. |
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