You can define an object to describe the difference between two probability distributions (Q. what's a good name?) if you want, but don't call it "probability".

Deep Wasserstein Distance ?

There's a H in Nicholson

I assume, and confess, that I have a picture of Phyllis Nicolson in my bedroom since two days !

"Issues in Artificial Intelligence, "the OOM theory suffers from the negative probability problem *NPP) "Learned OOM may sometimes return negative probabilities for some events" (OOM: "Observable Operator Models are generalization of HMM models") Issues in Artificial Intelligence, Robotics and Mach...

Machine Learning, Uncertain Information, and the Inevitability of Negative `Probabilities' http://videolectures.net/mlws04_lowe_mluii/ It was only a matter of time before someone came up with this brainwave.  At its heart I want to challenge the assumption that probabilities have to be positive. I ...

ADE (1950s)

? Didn't you quoted in your paper this book as having been written in 1964 ?

You're welcome. BTW I see that Jim Douglas Jr. passed  few years ago. https://sinews.siam.org/Details-Page/Obituaries-Jim-Douglas-Jr Peter Lax is still here. Jim Douglas is the one to be credited for ADI methods ? I did not know that either. Thanks again. Concerning Lax, to me he is a little bit sc...

You are not alone! Numerical analysts know these things, https://upload.wikimedia.org/wikipedia/en/thumb/9/98/PhyllisNicolson.jpg/220px-PhyllisNicolson.jpg Ooops... I used CN schemes for years believing that Nicolson was a man ! These schemes are one of the most used schemes in numerical analysis, ...

BTW there be no 'h' in Nicolson..

Isn't he this guy ? (kidding, there is no h, you are right).

convexity is my very personal way to refer to these problems of oscillations.  I hope you use standardised notation in your new article. BTW are you a mathematician./CS?engineer/physicist by training? I will do my very best, because I know that you will kick my ass if I don't. I had my applied math...

Ah, nowhere in my paper do I mention convexity(is that your gamma??) See also, my previous post. convexity is my very personal way to refer to these problems of oscillations. But even if there exists a more appropriate wording for that, I will refer now to these problems as deep neural convexity pr...

Excuses ;) You're right, I should finish this paper right now. Cuchulainn: Function of BV are a RED HERRING when talking about payoff continuity. They are almost useless AFAIK. The last time someone mentioned BV to me was way back in the mid 20th century in Lebesgue integration class. Well..binary ...

Here is a seminal paper on PDE with discontinuous payoff (initial  condition).  This was known in our group by 1974 (it's in the FEM book by Gil Strang and George Fix).  https://wwwf.imperial.ac.uk/~ajacquie/IC_Num_Methods/IC_Num_Methods_Docs/Literature/DuffyCN.pdf So, I'm wondering what new revela...

Here is a seminal paper on PDE with discontinuous payoff (initial  condition).  This was known in our group by 1974 (it's in the FEM book by Gil Strang and George Fix).  https://wwwf.imperial.ac.uk/~ajacquie/IC_Num_Methods/IC_Num_Methods_Docs/Literature/DuffyCN.pdf So, I'm wondering what new revela...

Then I'm still confused. Can you clarify the relation between BV functions, convergence rates and derivative payoffs? ISayMoo, you are not confused at all, you are clearly sharp minded. This is a very pertinent question, it is exactly the same question that the one you asked concerning the constant...

OK, so just so that I get it straight: 1. call payoff (S - K)+ is not BV and there is NO sampling sequence for it which converges faster than 1/N 2. binary payoff Heaviside(S - K) is BV and there IS a sampling sequence for it which converges faster than 1/N Correct? Nope: Correct for binary (thank,...