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

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

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

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...

philosophy of logic, specifically in deductive reasoning, a rule of inference, inference rule or transformation rule is a logical form consisting of a function...

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

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

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

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

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

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

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

enhance prediction accuracy. This principle integrates Bayesian inference with active inference, where actions are guided by predictions and sensory feedback...

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

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

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...

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

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...

ecological inference fallacy or population fallacy) is a formal fallacy in the interpretation of statistical data that occurs when inferences about the...

statistical inferences simultaneously or estimates a subset of parameters selected based on the observed values. The larger the number of inferences made, the...

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

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"...

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

programmer-supplied type annotations or other hints. Algorithm W is an efficient type inference method in practice and has been successfully applied on large code bases...

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

OIL (Ontology Inference Layer or Ontology Interchange Language) can be regarded as an ontology infrastructure for the Semantic Web. OIL is based on concepts...

An adaptive neuro-fuzzy inference system or adaptive network-based fuzzy inference system (ANFIS) is a kind of artificial neural network that is based...

of the presence of various diseases. Efficient algorithms can perform inference and learning in Bayesian networks. Bayesian networks that model sequences...

In logic, statistical inference, and supervised learning, transduction or transductive inference is reasoning from observed, specific (training) cases...