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Data Analysis for Physics

Course Introduction
Probability Theory
Important Probability Distributions
Theory of Estimators
Estimating Probability Density from Data
Statistics and Sources of Uncertainty
Frequentist and Bayesian Methods
Project 01
Stochastic Processes, Markov Chains & Variational Inference
Confidence Intervals and Hypothesis Testing
Fourier methods
- Slides
- Response, Unfolding & Convolution
Response, Convolution and Unfolding
Time Series
Project 02
Monte Carlo and Sampling Methods
Bias and Blind Analysis
- Slides
- Bias and Blind Analysis
Machine Learning Methods
- Slides
- Deep Learning

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Time Series

Contents

Overview
Goals
Lecture Materials
Homework Assignment
Supplemental Readings

Time Series#

Overview#

You will learn about time series

Goals#

Learn about time series

Lecture Materials#

Slides
Time Series Analysis

Homework Assignment#

Supplemental Readings#

None

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Unfolding

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Time Series Analysis

Contents

Overview
Goals
Lecture Materials
Homework Assignment
Supplemental Readings

By Mark Neubauer

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