Icef-scalc-2022-fall: различия между версиями

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(не показано 5 промежуточных версий этого же участника)
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[https://raw.githubusercontent.com/bdemeshev/sc401/master/matek2_collect/matek2_collection.pdf Past exams collection]
[https://t.me/+2KbmI_35sQQ5OGZi telegram QA and announcements]
[https://zoom.us/j/8126338383 zoom meetings link]


[https://disk.yandex.ru/d/93M_J0sW1LxPpQ zoom recordings]


[https://github.com/bdemeshev/icef_stocalc_2022_fall/tree/main/lecture_notes all handwritten notes]


[https://raw.githubusercontent.com/bdemeshev/sc401/master/matek2_collect/matek2_collection.pdf Past exams collection]
[https://github.com/bdemeshev/icef_stocalc_2022_fall/raw/main/ha/ha.pdf Home assignments]
 
Week 1. Sigma algebras, conditional expected value
 
Week 2. Conditional variance, geometric viewpoint, martingales, stopping times
 
Week 3. Doob's theorem, ABRACADABRA, Wiener process
 
Week 4. Stochastic integral: intuition
 
Week 5. Stochastic integral: properties, Ito's lemma


[https://t.me/+2KbmI_35sQQ5OGZi telegram QA and announcements]
Week 6. Option pricing: binomial, Black and Scholes model.

Текущая версия от 20:54, 8 января 2023

Past exams collection

telegram QA and announcements

zoom meetings link

zoom recordings

all handwritten notes

Home assignments

Week 1. Sigma algebras, conditional expected value

Week 2. Conditional variance, geometric viewpoint, martingales, stopping times

Week 3. Doob's theorem, ABRACADABRA, Wiener process

Week 4. Stochastic integral: intuition

Week 5. Stochastic integral: properties, Ito's lemma

Week 6. Option pricing: binomial, Black and Scholes model.