Transcription of 200604 - IEA - Advanced Statistical Inference
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Date: 11/06/2022 Page: 1 / 4 Course guide200604 - IEA - Advanced Statistical InferenceLast modified: 22/05/2022 Unit in charge:School of Mathematics and StatisticsTeaching unit:715 - EIO - Department of Statistics and Operations - UB - (ENG)Universitat de :MASTER'S DEGREE IN STATISTICS AND OPERATIONS RESEARCH (Syllabus 2013). (Optional subject).Academic year: 2022 ECTS Credits: : EnglishLECTURERC oordinating lecturer:GUADALUPE G MEZ MELISO thers:Primer quadrimestre:GUADALUPE G MEZ MELIS - A LEX S NCHEZ PLA - APRIOR SKILLSA dvanced Statistical Inference is mandatory for all graduate students in statistics or follow and take advantage of this course the Statistical knowledge required is that of an undergraduate-level in statistics ormathematics.* Basic mathematical analysis skills required: integration of functions of one or two variables, derivation, optimization of a function ofone or two variables.* Basic probability skills required: the most common parametric distributions, properties of a normal distribution, the law of largenumbers and the central limit theorem.
Advanced Statistical Inference is mandatory for all graduate students in statistics or mathematics (path 1) and Foundations of Statistical Inference is compulsory for all students from other degrees (path 2).
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Computational Vision: Principles of Perceptual Inference, Statistical inference, Inference, Vision: Principles of Perceptual Inference, Statistical Concepts in Presenting Data, Statistical Concepts in Presenting Data Principles, Statistical, Principles, Principled Statistical Inference in Data Science, PRINCIPLES OF STATISTICAL, Bios 600, PRINCIPLES OF STATISTICAL INFERENCE, Of statistical, Of statistical inference, Principles of Parametric Inference, Statistical Principles