causal inference

См. также в других словарях:

• Rubin Causal Model — The Rubin Causal Model (RCM) is an approach to the statistical analysis of cause and effect based on the framework of potential outcomes. RCM is named after its originator, Donald Rubin, Professor of Statistics at Harvard… …   Wikipedia

• Bayesian inference — is statistical inference in which evidence or observations are used to update or to newly infer the probability that a hypothesis may be true. The name Bayesian comes from the frequent use of Bayes theorem in the inference process. Bayes theorem… …   Wikipedia

• Biological network inference — Many types of biological networks exist. Few such networks are known in anything approaching their complete structure, even in the simplest bacteria. Still less is known on the parameters governing the behavior of such networks over time, how the …   Wikipedia

• Statistical inference — In statistics, statistical inference is the process of drawing conclusions from data that are subject to random variation, for example, observational errors or sampling variation.[1] More substantially, the terms statistical inference,… …   Wikipedia

• asymmetrical causal processes — An irreversible or one way causation process. Once A has been set in motion and caused B, the new situation becomes permanent, and cannot be reversed by eliminating or reducing A after the event. Asymmetrical causal processes are more common in… …   Dictionary of sociology

• Перл, Джуда — Джуда Перл Judea Pearl Дата рождения: 1936 год(1936) Место рождения: Тель Авив, Израиль Страна …   Википедия

• Epidemiology — For the Community episode, see Epidemiology (Community). Epidemiology is the study of health event, health characteristic, or health determinant patterns in a population. It is the cornerstone method of public health research, and helps inform… …   Wikipedia

• Correlation does not imply causation — (related to ignoring a common cause and questionable cause) is a phrase used in science and statistics to emphasize that correlation between two variables does not automatically imply that one causes the other (though correlation is necessary for …   Wikipedia

• Internal validity — is the validity of (causal) inferences in scientific studies, usually based on experiments as experimental validity [ Mitchell, M. and Jolley, J. (2001). Research Design Explained (4th Ed) New York:Harcourt.] . Details Inferences are said to… …   Wikipedia

• Inductive reasoning — Induction or inductive reasoning, sometimes called inductive logic, is the process of reasoning in which the premises of an argument are believed to support the conclusion but do not entail it; i.e. they do not ensure its truth. Induction is a… …   Wikipedia

• Structural equation modeling — (SEM) is a statistical technique for testing and estimating causal relations using a combination of statistical data and qualitative causal assumptions. This definition of SEM was articulated by the geneticist Sewall Wright (1921),[1] the… …   Wikipedia