A general method of testing hypotheses that contrasts the exact probabilities of observing data given particular hypotheses.

Given some data (for example maternal antibody levels), and a model for how a process supposedly generating it occurs, (for example, exponential decay with rate ), and for how variance is likely to occur in observations of the process (for example sampling error), the likelihood that a particular model (ie a particular plus the error in observation can generate the observed data.Picking the parameter value which is most likely to have generated the observed data is the method of maximum likelihood.

the Likelihood - the likelihood Pr{D|Parameters, Tree} is the probability of the observed sequence data given the model of evolution (i.e. the tree, the transition/transversion ratio, gamma shape parameter, proportion of invariable sites, mutation rate et cetera).

the probability of a specified outcome

a probability, specifically the probability that the observed values of the dependent may be predicted from the observed values of the independents

is the probability density of observations calculated from parameters and not observations.

Used as a synonym for probability and frequency especially in a qualitative context.

The probability of the observed data for various values of the unknown model parameters (statistics). [3

The likelihood of a set of observed data is the joint probability density function of the data, taken to be a function of the density function parameters, with the observed data considered fixed. For convenience, the logarithm of this quantity is often used and is known as the log-likelihood. For a given distribution (eg Gaussian), maximising the (log-)likelihood of the data in terms of the density function parameters gives the parameter values defining the given distribution which is "most likely" (in a probabilistic sense) to have given rise to the data, although a different distributional choice may yield better results; different distributions may be compared via (penalised) maximum likelihoods.

The probability that an identified risk event will occur. M _

Assessment of the probability that a risk will occur.

Used in this guideline to refer to the probability of an underlying diagnosis, particularly significant CAD.

The probability of an event based on current observations.

the chance that something is likely to happen. See Probability.

Used as a qualitative description of probability or frequency.

A measure of the expected frequency with which an event occurs. This may be expressed as a frequency (e.g., events per year), a probability of occurrence during a time interval (e.g., annual probability), or a conditional probability (e.g., probability of occurrence, given that a precursor event has occurred).