Marco Avella Medina

We fell behind by a week's material early in the semester, and instead of adjusting the pacing of quizzes/homework to accommodate, we had to take nearly every quiz with half material we had either barely covered or not covered. 1 Columbia University: Arts & Sciences Fall 2024 Course: STATGR5703_001_2024_3-STATINFERENCE&MODELING : STATGR5703_001_2024_3 - STAT INFERENCE & MODELING Instructor: Marco Avella Medina

Robust statistics. M-estimators. Robust linear regression etc.

things that other people are working on in statistics

Low workload (although if you want to learn things well you have to pay more effort), high-quality lectures, very nice professor. Although we didn't dig into some topics very deeply, most of the important and useful stuff (like various maximal inequalities, VC theory, concentration inequalities and weak convergence) are touched. Very useful for my research (I'm doing statistical machine learning). 1 Columbia University: Arts & Sciences Fall 2021 Course: STATGR6203_001_2021_3-THEORETICALSTATISTICSIII : STATGR6203_001_2021_3 - THEORETICAL STATISTICS III Instructor: Bodhisattva Sen

Discrete and continuous random variables, expectation, variance, conditional expectation, probrablity

Learned about the theoretical foundation of probability and foundational knowledge/terminology. There was also an emphasis on strategies for problem solving.

I learned a lot of the theory behind the principles of Probability, and I learned how to problem-solve using these theories.

I learned a lot about probability. A good overview.

I learned many statistical models and how to apply them to real world questions. This course focuses on many problems that we have not considered in previous STAT courses, and I learned how to solve these problems without making non-realistic assumptions.

Builds off Calc-Based Stats, learned everything from counting to conditional probability to expectation.