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In 2007, MIT OpenCourseWare introduced a site called Highlights for High School that indexes resources on the MIT OCW applicable to advanced high school study in biology, chemistry, calculus and physics in an effort to support US STEM education at the secondary school level. In 2011, MIT OpenCourseWare introduced the first of fifteen OCW ...
Probability and statistics are two closely related fields in mathematics that are sometimes combined for academic purposes. [1] They are covered in multiple articles and lists: Probability; Statistics; Glossary of probability and statistics; Notation in probability and statistics; Timeline of probability and statistics
Survival analysis is a branch of statistics for analyzing the expected duration of time until one event occurs, such as death in biological organisms and failure in mechanical systems. This topic is called reliability theory , reliability analysis or reliability engineering in engineering , duration analysis or duration modelling in economics ...
He retired on May 15, 2023 after giving his final Linear Algebra and Learning from Data [6] lecture at MIT. [7] Strang's teaching has focused on linear algebra which has helped the subject become essential for students of many majors. His linear algebra video lectures are popular on YouTube and MIT OpenCourseware.
The probability distribution of the sum of two or more independent random variables is the convolution of their individual distributions. The term is motivated by the fact that the probability mass function or probability density function of a sum of independent random variables is the convolution of their corresponding probability mass functions or probability density functions respectively.
Independence is a fundamental notion in probability theory, as in statistics and the theory of stochastic processes.Two events are independent, statistically independent, or stochastically independent [1] if, informally speaking, the occurrence of one does not affect the probability of occurrence of the other or, equivalently, does not affect the odds.
John N. Tsitsiklis (Greek: Γιάννης Ν. Τσιτσικλής; born 1958) is a Greek-American probabilist.He is the Clarence J. Lebel Professor of Electrical Engineering with the Department of Electrical Engineering and Computer Science (EECS) at the Massachusetts Institute of Technology. [2]
In probability theory and statistics, the law of the unconscious statistician, or LOTUS, is a theorem which expresses the expected value of a function g(X) of a random variable X in terms of g and the probability distribution of X. The form of the law depends on the type of random variable X in question.