Search for tag: "probability"

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Lec 10, Apr 22.mp4 duration 51 minutes 35 seconds Lec 10, Apr 22.mp4 Lec 10, Apr 22.mp4	Lec 10, Apr 22.mp4 payoff stock credit model event risk solution portfolio wealth asset pay performance rate things payoffs investor probability bit answer From Robert Ferydouni 0 likes 2 plays 0
Lec 9, Apr 19.mp4 duration 49 minutes 57 seconds Lec 9, Apr 19.mp4 Lec 9, Apr 19.mp4	Lec 9, Apr 19.mp4 risk stock return expectation asset factor model investors variance things investor probability event assets credit bit problem question deviation From Robert Ferydouni 0 likes 3 plays 0
Lec 8, Apr 17.mp4 duration 51 minutes 0 seconds Lec 8, Apr 17.mp4 Lec 8, Apr 17.mp4	Lec 8, Apr 17.mp4 credit variables risk stock things wealth model variable investor times return bit decision asset randomness probability solution portfolio constraints From Robert Ferydouni 0 likes 0 plays 0
Lecture 6, April 12.mp4 duration 50 minutes 33 seconds Lecture 6, April 12.mp4 Lecture 6, April 12.mp4	Lecture 6, April 12.mp4 times probability wealth stock risk expectation investor things market model assets question path tails period thing bit equation rate From Robert Ferydouni 0 likes 3 plays 0
Lecture 4, Apr 8.mp4 duration 52 minutes 55 seconds Lecture 4, Apr 8.mp4 Lecture 4, Apr 8.mp4	Lecture 4, Apr 8.mp4 omega tails heads coin bit space words idea thing things variable sample flip period notation stochastic sigma exam probability model From Robert Ferydouni 0 likes 1 plays 0
Lecture 3, Apr 5.mp4 duration 1 hour 3 minutes Lecture 3, Apr 5.mp4 Lecture 3, Apr 5.mp4	Lecture 3, Apr 5.mp4 tails heads probability event coin omega events sigma thing observer flip model point tail class element head function space flips From Robert Ferydouni 0 likes 1 plays 0
Lecture 1, Apr 1 duration 51 minutes 29 seconds Lecture 1, Apr 1 Lecture 1, Apr 1	Lecture 1, Apr 1 class period probability model things finance exam exams formulas optimization bit hour homework zoom concepts interest problems mode participation From Robert Ferydouni 0 likes 4 plays 0
Heavy ion mini course 2023 Session 7 duration 1 hour 35 minutes Heavy ion mini course 2023 Session 7 Heavy ion mini course 2023 Session 7	Heavy ion mini course 2023 Session 7 Discussion of Monte Carlo methods. Monte Carlo integration example. 1-D random walk example. heavy ion physics monte carlo methods things probability distribution energy carlo point computer idea particles points thing histogram numbers model times function steps electron problem detector From Manuel Calderon de la Barca Sanchez 0 likes 3 plays 0
Heavy-Ion summer mini course 2023 session 6 duration 1 hour 49 minutes Heavy-Ion summer mini course 2023 session 6 Heavy-Ion summer mini course 2023 session 6	Heavy-Ion summer mini course 2023 session 6 Part of the summer mini course on heavy-ion physics for undergraduate research students during the summer or 2023. Session 6. Glauber model of nuclear collisions. physics heavy ion physics things model cross nucleus particles thing angle rapidity collision energy parameter idea times distribution point probability momentum radius size nucleons From Manuel Calderon de la Barca Sanchez 0 likes 10 plays 0
Storer Lecture (Peer Lecture) - Sean Eddy - March… duration 1 hour 0 minutes Storer Lecture (Peer Lecture) - Sean Eddy - March… Storer Lecture (Peer Lecture) - Sean Eddy - March 7, 2023	Storer Lecture (Peer Lecture) - Sean Eddy - March 7, 2023 Sean Eddy is a computational biologist at Harvard University. Before moving to Harvard in 2015, he was a group leader at the Howard Hughes Medical Institute's Janelia Research Campus, and before… sequence structure alignment rna models model sequences protein base things thing gene database pair probability structures profile pairs question lab From Evan White 0 likes 19 plays 0
Dr. Aimone: A Probabilistic Future for… duration 1 hour 14 minutes Dr. Aimone: A Probabilistic Future for… Dr. Aimone: A Probabilistic Future for Neuromorphic Computing	Dr. Aimone: A Probabilistic Future for Neuromorphic Computing Abstract: As Moore’s Law comes to a close, new innovative approaches to microelectronics research are important to achieve much needed capabilities improvements in computing for both… neuromorphic neuromorphic computing stochastic processes probabilistic computing artificial intelligence things neurons coin computing computer lot kind brain louis bit problem questions algorithm thing algorithms sort probability learning energy distribution From Luis El Srouji 0 likes 7 plays 0
ECS-235A, November 14, 2022 duration 55 minutes 0 seconds ECS-235A, November 14, 2022 ECS-235A, November 14, 2022	ECS-235A, November 14, 2022 ECS-235A, Lecture 23, November 14, 2022 probability malware entropy instructions dye flow things thing uncertainty log values programs die dice machine viruses bits bit ways idea From Matthew Bishop 0 likes 40 plays 0
ECS 235B, Winter 2022; Lecture #26; March 7, 2022 duration 50 minutes 54 seconds ECS 235B, Winter 2022; Lecture #26; March 7, 2022 ECS 235B, Winter 2022; Lecture #26; March 7, 2022	ECS 235B, Winter 2022; Lecture #26; March 7, 2022 Lecture 26, on March 7, 2022 of ECS 235B, Foundations of Computer and Information Security channel process probability buffer capacity messages thing uncertainty things cpu problem output communications quantum database channels pump participant input randomness From Matthew Bishop 0 likes 17 plays 0
ECS20 - W22 - Lecture 18 (9R): Probability duration 1 hour 25 minutes ECS20 - W22 - Lecture 18 (9R): Probability ECS20 - W22 - Lecture 18 (9R): Probability	ECS20 - W22 - Lecture 18 (9R): Probability Lecture 2022-03-03. Examples of probability calculations interspersed with foundations. Definition of a probability space. Sum rule, product rule, inclusion/exclusion. Random variables and… probability space sample event points cards heads card point coin pair numbers measure chance outcomes problem mass From Phil Rogaway 0 likes 76 plays 0
ECS20 - W22 - Lecture 17 (9T): Counting 2 duration 1 hour 25 minutes ECS20 - W22 - Lecture 17 (9T): Counting 2 ECS20 - W22 - Lecture 17 (9T): Counting 2	ECS20 - W22 - Lecture 17 (9T): Counting 2 Lecture 2022-03-01. Review of counting principles. Then, another day of examples, these leading to probability calculations. times ways balls numbers cards probability universe factorial elements strings subsets log answer length From Phil Rogaway 0 likes 79 plays 0
PHYEPS30 Lecture 10 duration 1 hour 7 minutes PHYEPS30 Lecture 10 PHYEPS30 Lecture 10	PHYEPS30 Lecture 10 probability event values events deviation distribution formula stock frequency times sample thing space heads outcomes coin money marble histograms outcome From John Rundle 0 likes 7 plays 0