Joe Blitzstein

Professor of the Practice in Statistics

Harvard University

1 course · 21 total lectures · 17h recorded

Courses by Joe Blitzstein

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Complete university lecture series taught by Joe Blitzstein.

Harvard STAT 110: Probability

Harvard University · STAT 11021 lectures · 17h

Mathematics·undergraduate

Probability

Prof. Joe Blitzstein·Harvard University

Harvard's celebrated probability sequence building story proofs, conditioning, Bayes' theorem, indicator random variables, continuous distributions, moment generating functions, and Markov chains.

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Probability, Primes & Computational Hardness

6 steps · 5h5 universities

EditorialTheory & Algos·undergraduate

Probability, Primes & Computational Hardness

Discrete proof invariants, stochastic conditioning, pseudorandomness, and P vs. NP

MIT · Harvard University · UCLA +2

6 curated lecturesOpen path →

All lectures by Joe Blitzstein

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Lecture 1: Probability and Counting | Statistics 110

Lecture 1: Probability and Counting | Statistics 110

STAT 110 · Lec 1 · Joe Blitzstein · Harvard University

Joe Blitzstein Harvard University

46:29

Lecture 2: Story Proofs, Axioms of Probability | Statistics 110

Lecture 2: Story Proofs, Axioms of Probability | Statistics 110

STAT 110 · Lec 2 · Joe Blitzstein · Harvard University

Joe Blitzstein Harvard University

45:40

Lecture 8: Random Variables and Their Distributions | Statistics 110

Lecture 8: Random Variables and Their Distributions | Statistics 110

STAT 110 · Lec 8 · Joe Blitzstein · Harvard University

Joe Blitzstein Harvard University

50:24

Lecture 7: Gambler's Ruin and Random Variables | Statistics 110

Lecture 7: Gambler's Ruin and Random Variables | Statistics 110

STAT 110 · Lec 7 · Joe Blitzstein · Harvard University

Joe Blitzstein Harvard University

51:45

Lecture 19: Joint, Conditional, and Marginal Distributions (STAT 110)

Lecture 19: Joint, Conditional, and Marginal Distributions (STAT 110)

STAT 110 · Lec 18 · Joe Blitzstein · Harvard University

Joe Blitzstein Harvard University

50:09

Lecture 17: Moment Generating Functions (STAT 110)

Lecture 17: Moment Generating Functions (STAT 110)

STAT 110 · Lec 16 · Joe Blitzstein · Harvard University

Joe Blitzstein Harvard University

50:45

Lecture 21: Covariance and Correlation (STAT 110)

Lecture 21: Covariance and Correlation (STAT 110)

STAT 110 · Lec 20 · Joe Blitzstein · Harvard University

Joe Blitzstein Harvard University

49:26

Lecture 13: Normal Distribution (STAT 110)

Lecture 13: Normal Distribution (STAT 110)

STAT 110 · Lec 13 · Joe Blitzstein · Harvard University

Joe Blitzstein Harvard University

51:10

Lecture 10: Expectation Continued (STAT 110)

Lecture 10: Expectation Continued (STAT 110)

STAT 110 · Lec 10 · Joe Blitzstein · Harvard University

Joe Blitzstein Harvard University

50:10

Lecture 18: MGFs Continued (STAT 110)

Lecture 18: MGFs Continued (STAT 110)

STAT 110 · Lec 17 · Joe Blitzstein · Harvard University

Joe Blitzstein Harvard University

49:41

Lecture 22: Transformations and Convolutions (STAT 110)

Lecture 22: Transformations and Convolutions (STAT 110)

STAT 110 · Lec 21 · Joe Blitzstein · Harvard University

Joe Blitzstein Harvard University

47:46

Lecture 20: Multinomial and Cauchy (STAT 110)

Lecture 20: Multinomial and Cauchy (STAT 110)

STAT 110 · Lec 19 · Joe Blitzstein · Harvard University

Joe Blitzstein Harvard University

49:00

Lecture 11: The Poisson Distribution (STAT 110)

Lecture 11: The Poisson Distribution (STAT 110)

STAT 110 · Lec 11 · Joe Blitzstein · Harvard University

Joe Blitzstein Harvard University

42:46

Lecture 14: Location, Scale, and LOTUS (STAT 110)

Lecture 14: Location, Scale, and LOTUS (STAT 110)

STAT 110 · Lec 14 · Joe Blitzstein · Harvard University

Joe Blitzstein Harvard University

48:55

Lecture 12: Discrete vs. Continuous, the Uniform (STAT 110)

Lecture 12: Discrete vs. Continuous, the Uniform (STAT 110)

STAT 110 · Lec 12 · Joe Blitzstein · Harvard University

Joe Blitzstein Harvard University

49:56

Lecture 9: Expectation, Indicator Random Variables, Linearity (STAT 110)

Lecture 9: Expectation, Indicator Random Variables, Linearity (STAT 110)

STAT 110 · Lec 9 · Joe Blitzstein · Harvard University

Joe Blitzstein Harvard University

50:23

Lecture 3: Birthday Problem, Properties of Probability | Statistics 110

Lecture 3: Birthday Problem, Properties of Probability | Statistics 110

STAT 110 · Lec 3 · Joe Blitzstein · Harvard University

Joe Blitzstein Harvard University

48:54

Lecture 4: Conditional Probability | Statistics 110

Lecture 4: Conditional Probability | Statistics 110

STAT 110 · Lec 4 · Joe Blitzstein · Harvard University

Joe Blitzstein Harvard University

49:45

Lecture 5: Conditioning Continued, Law of Total Probability | Statistics 110

Lecture 5: Conditioning Continued, Law of Total Probability | Statistics 110

STAT 110 · Lec 5 · Joe Blitzstein · Harvard University

Joe Blitzstein Harvard University

50:01

Lecture 6: Monty Hall, Simpson's Paradox | Statistics 110

Lecture 6: Monty Hall, Simpson's Paradox | Statistics 110

STAT 110 · Lec 6 · Joe Blitzstein · Harvard University

Joe Blitzstein Harvard University

49:00