Inferences are steps in logical reasoning, moving from premises to logical consequences; etymologically, the word infer means to "carry forward". Inference...

Statistical inference is the process of using data analysis to infer properties of an underlying probability distribution. Inferential statistical analysis...

Rules of inference are ways of deriving conclusions from premises. They are integral parts of formal logic, serving as norms of the logical structure...

formal and informal logic. Formal logic is the study of deductively valid inferences or logical truths. It examines how conclusions follow from premises based...

Bayesian inference (/ˈbeɪziən/ BAY-zee-ən or /ˈbeɪʒən/ BAY-zhən) is a method of statistical inference in which Bayes' theorem is used to calculate a probability...

system. The main difference between causal inference and inference of association is that causal inference analyzes the response of an effect variable...

Deductive reasoning is the process of drawing valid inferences. An inference is valid if its conclusion follows logically from its premises, meaning that...

Type inference, sometimes called type reconstruction,: 320  refers to the automatic detection of the type of an expression in a formal language. These...

Adverse inference is a legal inference, adverse to the concerned party, drawn from silence or absence of requested evidence. It is part of evidence codes...

Frequentist inference is a type of statistical inference based in frequentist probability, which treats “probability” in equivalent terms to “frequency”...

An Inference Attack is a data mining technique performed by analyzing data in order to illegitimately gain knowledge about a subject or database. A subject's...

Approximate inference methods make it possible to learn realistic models from big data by trading off computation time for accuracy, when exact learning...

In mathematical logic, deep inference names a general idea in structural proof theory that breaks with the classical sequent calculus by generalising...

prediction, statistical syllogism, argument from analogy, and causal inference. There are also differences in how their results are regarded. A generalization...

In the field of artificial intelligence, an inference engine is a software component of an intelligent system that applies logical rules to the knowledge...

Indirect inference is a simulation-based method for estimating the parameters of economic models. It is a computational method for determining acceptable...

Abductive reasoning (also called abduction, abductive inference, or retroduction) is a form of logical inference that seeks the simplest and most likely conclusion...

Bayesian inference with active inference, where actions are guided by predictions and sensory feedback refines them. From it, wide-ranging inferences have...

Arbitrary inference is a classic tenet of cognitive therapy created by Aaron T. Beck in 1979. He defines the act of making an arbitrary inference as the...

Bayesian inference refers to statistical inference where uncertainty in inferences is quantified using probability. In classical frequentist inference, model...

Fiducial inference is one of a number of different types of statistical inference. These are rules, intended for general application, by which conclusions...

In philosophy of science, strong inference is a model of scientific inquiry that emphasizes the need for alternative hypotheses, rather than a single...

Spontaneous trait inference is the term utilised in social psychology to describe the mechanism that causes individuals to form impressions of people...

In perceptual psychology, unconscious inference (German: unbewusster Schluss), also referred to as unconscious conclusion, is a term coined in 1867 by...

Trajectory inference or pseudotemporal ordering is a computational technique used in single-cell transcriptomics to determine the pattern of a dynamic...

An immediate inference is an inference which can be made from only one statement or proposition. For instance, from the statement "All toads are green"...

Inference-based therapy (IBT), also known as inference-based cognitive behavioral therapy (I-CBT), originated as a form of cognitive therapy developed...

correction, more sophisticated selective inference methods are available. The most common selective inference method is the use of Benjamini and Hochberg's...

reasoning) is an inference method described colloquially as working backward from the goal. It is used in automated theorem provers, inference engines, proof...

techniques for approximating intractable integrals arising in Bayesian inference and machine learning. They are typically used in complex statistical models...