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Statistics and Data Analysis for Cosmology - Lecture 1

Offered By: International Centre for Theoretical Sciences via YouTube

Tags

Statistics & Probability Courses Data Analysis Courses Bayesian Statistics Courses Probability Courses Conditional Probability Courses Bayes Theorem Courses Data Modeling Courses Probability Density Functions Courses

Course Description

Overview

Explore the fundamentals of statistics and data analysis in this lecture from the International Centre for Theoretical Sciences' program on "Cosmology - The Next Decade". Delve into key concepts including probability, joint probability, conditional probability, joint PDF, independence, Bayes Theorem, data conditioning, and modeling. Learn how these statistical tools are applied to cosmological research, helping scientists unravel mysteries like dark matter and dark energy. Gain insights into the challenges and opportunities in modern cosmology as the field prepares for the next generation of experiments and observational data.

Syllabus

Introduction
Probability
Joint Probability
Conditional Probability
Joint PDF
Independence
Other Questions
Bayes Theorem
Data Conditioning
Modeling


Taught by

International Centre for Theoretical Sciences

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