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Обычная версия сайта
2025/2026

Вероятность и статистика в высокой размерности

Статус: Маго-лего
Когда читается: 3, 4 модуль
Охват аудитории: для своего кампуса
Язык: английский
Контактные часы: 80

Course Syllabus

Abstract

The course presents an introduction to modern statistical and probabilistic methods for data analysis, emphasising finite sample guarantees and problems arising from high-dimensional data. The course is mathematically oriented and level of the material ranges from a solid undergraduate to a graduate level. Topics studied include for instance Concentration Inequalities, High Dimensional Linear Regression and Matrix estimation. Prerequisite: Probability Theory.