ASTP 711: Advanced Statistical Methods for Astrophysics> Course Timetable

This table gives a tentative timetable for the course. Everything in it (including possibly the dates of exams and homeworks) is subject to change.

Tuesday Þursday
Tuesday Þursday
Wk01 Aug 23

Lesson 01.1: Fundamentals of Probability

Reading: Gregory, Ch. 1&2

Aug 25

Lesson 01.2: Probability Distributions

Reading: Gregory 5.1-5.6

Wk02 Aug 30

Lesson 02.1: Multivariate Distributions

Problem Set 1 due

Sep 1

Lesson 02.2: Binomial and Poisson Distribtions

Gregory Section 5.7

Wk03 Sep 6

Lesson 03.1: Exponential and Gamma Distributions

Gregory Section 5.8

Problem Set 2 due

Sep 8

Lesson 03.2: Gaussian and Chi-Squared Distributions

Gregory Section 5.8

Wk04 Sep 13

Lesson 04.1: Sums of Random Variables and the Central Limit Theorem

Gregory Section 5.9

Problem Set 3 due

Sep 15

Lesson 04.2: Student's Theorem

Gregory Section 6.1-6.4

Wk05 Sep 20

Lesson 05.1: Parameter Estimation

Problem Set 4 due

Sep 22

Review for Prelim Exam 1

Wk06 Sep 27

FIRST PRELIM EXAM

(Lessons 01.1-04.2)

Sep 29

Lesson 05.2: Confidence Intervals and Plausible Intervals

Gregory Section 6.6

Wk07 Oct 4

Lesson 06.1: Frequentist Hypothesis Testing

Gregory Chapter 7

Problem Set 5 due

Oct 6

Lesson 06.2: Bayesian Hypothesis Testing

Gregory Section 3,5; Sivia Chapter 4

Wk08 Oct 11

No Class

(Fall Break)

Oct 13

Lesson 07.1: Counting Experiments with Known Backgroud

Gregory Section 14.1-14.3

Problem Set 6 due

Wk09 Oct 18

Lesson 07.2: Counting Experiments with Unknown Background Rate (ON/OFF)

Gregory Section 14.4

Oct 20

Lesson 08.1: Choices of Prior Distribution

Problem Set 7 due

Wk10 Oct 25

Lesson 08.2: Maximum Entropy

Gregory Chapter 8; Sivia Chapter 5

Oct 27

Lesson 09.1: Linear Models

Gregory Chapter 10

Problem Set 8 due

Wk11 Nov 1

Review for Prelim Exam 2

Nov 3

SECOND PRELIM EXAM

(Lessons 05.1-08.2)

Wk12 Nov 8

Lesson 09.2: Multiple Regression

Nov 10

Lesson 10.1: Generalized Linear Models

Gregory Chapter 11

Problem Set 9 due

Wk13 Nov 15

Lesson 10.2: Logistic Regression

Nov 17

Lesson 11.1: Markov Chain Monte Carlo

Gregory Chapter 12

Problem Set 10 due

Wk14 Nov 22

Lesson 11.2: Hamiltonian Monte Carlo with STAN

Nov 24

No Class

(Thanksgiving Break)

Wk15 Nov 29

Review/Project Presententations

Problem Set 11 due

Dec 1

Review for Final Exam


Last Modified: 2023 February 16

Dr. John T. Whelan / john.whelan@astro.rit.edu / Professor, School of Mathematical Sciences & Center for Computational Relativity and Gravitation, Rochester Institute of Technology

The contents of this communication are the sole responsibility of Prof. John T. Whelan and do not necessarily represent the opinions or policies of RIT, SMS, or CCRG.

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