video looks like recorded in the home office during lockdown ;-). Who cares. Thank you so much for taking the time! The best explanation of Copulas I have seen so far!
Thanks man. Part of my thesis is about the role of copulas in hydrology. You answered many of my questions on this subject and clarified many things to me. Nice job
For those that are interested, here's a link to an edited version of the slides used here: www.paulsweeting.com/wp-content/uploads/2021/09/Copula-Introduction-Upload.pdf
@paulsweeting These videos are really superb! Many thanks for providing them. I was getting overwhelmed with the concept of copulas and these videos were very timely in helping overcoming it.
That was really well explained. Can you please do some more videos on Copulas along with some real world examples. There are no good videos on this on the internet.
@@PaulSweeting Thank you soooo much....Please if possible give us one concrete example on dummy data starting from probability density function all the way till the calculation of a copula....Every where they just keep on talking about the heavy mathematical definitions without a walk through example....Thank you very much once again.
Nice explanation, Paul. I especially liked the referance to CDO's at the end of the video. It is a great example of financial modelling done wrong based on wrong mathematical assumptions, which can be very costly. And in reverse, it proves the importance of copulas. Thank you!
Very very good explanation!!! Best so far in youtube! Could you please explain what a marignsl distribution is? Is it just the CDF of X respectively Y?
Thank you! The marginal distribution is just the cdf of one of the variables. So x will have a marginal distribution, as will y (and z, of there are 3 variables, etc)
A joint distribution is made up of 2 or more marginals and the copula that joins them. But if you want to use different marginal distributions (because those in the joint distribution aren't a good fit), or if the copula implicit in the joint distribution isn't a good fit, you need to use a separate copula and marginals.
@@PaulSweeting so to understand it right: 1. Joint distribution = 2 or more marginal distribution and a copula that joint them? 2. You Showd a joint distribution in you Presentation. Die you create this one with a copula? 3. For example I have two marginals with diffrent distributions. Can I User a copula to join them on a scale of [0;1]?
video looks like recorded in the home office during lockdown ;-). Who cares. Thank you so much for taking the time! The best explanation of Copulas I have seen so far!
Thanks man. Part of my thesis is about the role of copulas in hydrology. You answered many of my questions on this subject and clarified many things to me. Nice job
For those that are interested, here's a link to an edited version of the slides used here: www.paulsweeting.com/wp-content/uploads/2021/09/Copula-Introduction-Upload.pdf
One of the best video to explain what copulas are!!! Thank you!
Best lecture on copuas so far!!!!!!
@paulsweeting These videos are really superb! Many thanks for providing them. I was getting overwhelmed with the concept of copulas and these videos were very timely in helping overcoming it.
Nicely explained. Thank you!!
Keep up the excellent work! Making a video with some case studies will be a great idea.
That was really well explained. Can you please do some more videos on Copulas along with some real world examples. There are no good videos on this on the internet.
Sure - part two is coming up tomorrow!
@@PaulSweeting Thank you soooo much....Please if possible give us one concrete example on dummy data starting from probability density function all the way till the calculation of a copula....Every where they just keep on talking about the heavy mathematical definitions without a walk through example....Thank you very much once again.
this was very helpful, great job and thank you!
wow. great content. Give us more . Give us everything
Mate thanks for the video. Very useful!
Nice explanation, Paul. I especially liked the referance to CDO's at the end of the video. It is a great example of financial modelling done wrong based on wrong mathematical assumptions, which can be very costly. And in reverse, it proves the importance of copulas. Thank you!
Very very good explanation!!! Best so far in youtube! Could you please explain what a marignsl distribution is? Is it just the CDF of X respectively Y?
Thank you! The marginal distribution is just the cdf of one of the variables. So x will have a marginal distribution, as will y (and z, of there are 3 variables, etc)
@@PaulSweeting perfekt thank really!!! So good explained this whole copula topic!
fantastic video explaining copulas, thank you! audio quality could be better though :)
Amazing stuff!
Very nicely explained! Ty 👊
One last question: you showd a joint distribution. Why did you create copula if you already habe a joint distribution?😊
A joint distribution is made up of 2 or more marginals and the copula that joins them. But if you want to use different marginal distributions (because those in the joint distribution aren't a good fit), or if the copula implicit in the joint distribution isn't a good fit, you need to use a separate copula and marginals.
@@PaulSweeting so to understand it right:
1. Joint distribution = 2 or more marginal distribution and a copula that joint them?
2. You Showd a joint distribution in you Presentation. Die you create this one with a copula?
3. For example I have two marginals with diffrent distributions. Can I User a copula to join them on a scale of [0;1]?
@drachenschlachter6946 yes/can't remember(!)/yes
@@PaulSweeting perfect thx!!!!!
#copulas I like the modesty
More new videos maybe?
Working on one now...
@@PaulSweeting