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)It is very funny
how can stochastic processes be accurately described mathematically without the use of probability theory?
To clarify - there is no alternative
)very funny
How can stochastic processes be accurately described mathematically without the use of probability theory?
To clarify - there is no alternative
You have no idea how ridiculous your "explanation" is.
You have no idea how ridiculous your "clarification" is.
ok - amaze me!
P.S. and this is written by a man whose first posts introduce the concepts of a stochastic differential equation and a Markov process.... Well, what can I say?
OK - dazzle me!
Well, as usual -- not in word, but in deed ;)))
Have patience.
Well, as usual - not by word but by deed ;)))
See my P.S. at the top
Don't lump everything into one pile - that would mess up your head.
You have to understand the difference between "the nature of a phenomenon" and "an instrument for investigating a phenomenon". Do you grasp the difference?
If there is a dilemma: to choose a deterministic or a stochastic mathematical model, the deterministic mathematical model should be preferred
If a model has any stochastic residual, it is a probabilistic model. If there is no stochastic residual - at any step with 100% accuracy the predicted values coincide with the observed values - then such a model is deterministic.
It is impossible to build a financial market model without a stochastic residual
If a model has any stochastic residual, it is a probabilistic model. If there is no stochastic residual - at any step with 100% accuracy the predicted values coincide with the observed values - then it is a deterministic model.
This statement once again demonstrates your lack of understanding not only of the problem in general, but also of modelling technology in particular.
This statement once again demonstrates your lack of understanding not only of the problem in general, but of modelling technology in particular.
Repeat:
OK - amaze me!