In
probability theory
Probability theory or probability calculus is the branch of mathematics concerned with probability. Although there are several different probability interpretations, probability theory treats the concept in a rigorous mathematical manner by expre ...
and
statistics
Statistics (from German language, German: ', "description of a State (polity), state, a country") is the discipline that concerns the collection, organization, analysis, interpretation, and presentation of data. In applying statistics to a s ...
, coherence can have several different meanings. Coherence in statistics is an indication of the quality of the information, either within a single data set, or between similar but not identical data sets. Fully coherent data are logically consistent and can be reliably combined for analysis.
In probability
When dealing with personal probability assessments, or supposed probabilities derived in nonstandard ways, it is a property of self-consistency across a whole set of such assessments.
In gambling strategy
One way of expressing such self-consistency is in terms of responses to various betting propositions, as described in relation to
coherence (philosophical gambling strategy)
In decision theory, economics, and probability theory, the Dutch book arguments are a set of results showing that agents must satisfy the axioms of rational choice to avoid a kind of self-contradiction called a Dutch book. A Dutch book, some ...
.
[Dodge, Y. (2003) The Oxford Dictionary of Statistical Terms, OUP. .]
In Bayesian decision theory
The coherency principle in
Bayesian decision theory is the assumption that subjective probabilities follow the ordinary rules/axioms of probability calculations (where the validity of these rules corresponds to the self-consistency just referred to) and thus that consistent decisions can be obtained from these probabilities.
[
]
In time series analysis
In time series analysis
In mathematics, a time series is a series of data points indexed (or listed or graphed) in time order. Most commonly, a time series is a sequence taken at successive equally spaced points in time. Thus it is a sequence of discrete-time data. ...
, and particularly in spectral analysis, it is used to describe the strength of association between two series where the possible dependence between the two series is not limited to simultaneous values but may include leading, lagged and smoothed relationships.[Everitt, B.S. (2002) The Cambridge Dictionary of Statistics, CUP. {{ISBN, 0-521-81099-X.]
The concepts here are sometimes known as coherency[ and are essentially those set out for coherence as for signal processing. However, note that the quantity coefficient of coherence may sometimes be called the ''squared coherence''.][
]
References
Probability assessment
Bayesian statistics
Frequency-domain analysis
Statistical principles
de:Kohärenz (Signalanalyse)