In logic, the corresponding conditional of an argument (or derivation) is a material conditional whose antecedent is the conjunction of the argument's...

as the conditional density function. The properties of a conditional distribution, such as the moments, are often referred to by corresponding names such...

The material conditional (also known as material implication) is a binary operation commonly used in logic. When the conditional symbol → {\displaystyle...

fits a nonlinear relationship between the value of x and the corresponding conditional mean of y, denoted E(y |x). Although polynomial regression fits...

is a corresponding statement form, called a corresponding conditional, and an argument form is valid if and only if its corresponding conditional is a...

that the statement it is attached to is a premise. Conditional (disambiguation) Corresponding conditional False premise In general usage, the spelling "premise"...

Corresponding conditional Counterfactual conditional Dynamic semantics Import-Export Indicative conditional Logical consequence Material conditional Graham...

to be sound. The corresponding conditional of a valid argument is a logical truth and the negation of its corresponding conditional is a contradiction...

Counterfactual conditionals (also contrafactual, subjunctive or X-marked) are conditional sentences which discuss what would have been true under different...

start by construct a conditional probability path p t ( x | z ) {\displaystyle p_{t}(x\vert z)} and the corresponding conditional velocity field v t (...

In computer science, conditionals (that is, conditional statements, conditional expressions and conditional constructs) are programming language constructs...

In probability theory, the conditional expectation, conditional expected value, or conditional mean of a random variable is its expected value evaluated...

these cases, the disposition is still present even though the corresponding conditional is false. Another approach sees abilities as a form of potential...

In probability theory, conditional probability is a measure of the probability of an event occurring, given that another event (by assumption, presumption...

one associates each polynomial H {\displaystyle H} with the corresponding conditional distribution expressing that given X {\displaystyle X} , Y {\displaystyle...

X)={\frac {P(X,Y)}{P(X)}}=} conditional distribution of Y {\displaystyle Y} given X {\displaystyle X} with corresponding conditional embedding operator C Y...

A conditional sentence is a sentence in a natural language that expresses that one thing is contingent on another, e.g., "If it rains, the picnic will...

= 2 , … , T {\displaystyle t=2,\dots ,T} . In this case, the corresponding conditional expectations become unconditional expectations, and the function...

make heavy use of predication, applying one bit of a conditional mask vector to the corresponding elements in the vector registers being processed, whereas...

formalized in probability theory by conditioning. Conditional probabilities, conditional expectations, and conditional probability distributions are treated on...

specific conditional constructions, see the sections below on conditional simple, conditional progressive, conditional perfect, and conditional perfect...

"have", which usually contracts into a new synthetic tense. A corresponding conditional tense is formed in the same way but using one of the past-tense...

theory, the law of total covariance, covariance decomposition formula, or conditional covariance formula states that if X, Y, and Z are random variables on...

In probability theory, conditional independence describes situations wherein an observation is irrelevant or redundant when evaluating the certainty of...

given an acceptance set at time t {\displaystyle t} then the corresponding conditional risk measure is ρ t = ess inf { Y ∈ L t ∞ : X + Y ∈ A t } {\displaystyle...

The conditional preservation of the saints, or conditional perseverance of the saints, or commonly conditional security, is the Arminian Christian belief...

Bayes' rule, after Thomas Bayes) gives a mathematical rule for inverting conditional probabilities, allowing one to find the probability of a cause given...

be to predict the likelihood of a homeowner defaulting on a mortgage. Conditional random fields, an extension of logistic regression to sequential data...

can define a conditional version of min-entropy. The conditional quantum min-entropy is a one-shot, or conservative, analog of conditional quantum entropy...

the tail of the loss distribution. Expected shortfall is also called conditional value at risk (CVaR), average value at risk (AVaR), expected tail loss...