Random wandering - page 56

 
Dmitry Fedoseev #:

How so? The coin toss is an ergodic process. And SB, based on coin tosses, is not.

In fact, ergodicity is similar to WBC. If you take a sequence of random variables suitable for WBC and do something bad to them (e.g. multiply by a divergent sequence of numbers), they will no longer fit for WBC.

It turns out that non-stationarity associated with unbounded variance necessarily contradicts ergodicity, while bounded variability does not necessarily contradicts ergodicity.

 
Aleksey Nikolayev #:

Stationarity is not necessary, it is just much easier to deal with. Therefore, for simplicity, ergodicity is usually defined for stationary processes only.

Can you remind the pronunciation of all these strokes and squiggles? I'm afraid that only the author can read it)
 
secret #:
And can you remind me the pronunciation of all those strokes and squiggles? Because, I'm afraid, only the author can read it).

Why? You're not likely to need it in your real life, are you?)

By the way, the textbook seems to be Belarusian, so you are closer there)

 
Dmitry Fedoseev #:

I love formulas like that)) The question always arises - will the person who wrote them be able to do the calculations? There's always one problem with them - they know how to write formulas, but they don't know how to write code... so everything is left at the level of hovering uncertainty.

Not quite sure, but it seems that such (non-stationary) ergodicity is used in radio theories. The mean and variance are not constant there, but always bounded (oscillatory processes).

 
Aleksey Nikolayev #:

Stationarity is not necessary, it is just much easier to deal with. Therefore, for simplicity, one usually defines ergodicity only for stationary processes.


Well, it depends on what is meant by ergodicity.

A strictly ergodic process is only a stationary process. But there are non-stationaryprocesses that are mean ergodicand autocovariant ergodic.

https://qastack.ru/signals/1167/what-is-the-distinction-between-ergodic-and-stationary

В чем разница между эргодическим и стационарным?
  • qastack.ru
У меня проблемы с различением этих двух понятий. Это мое понимание до сих пор. Стационарный процесс - это случайный процесс, статистические свойства которого не меняются со временем. Для стационарного процесса в строгом смысле это означает, что его совместное распределение вероятностей является постоянным; для стационарного процесса в широком...
 
Aleksey Nikolayev #:

Why? You're not likely to need it in your real life, are you?)

I've always had a question for the inventors of ergodicity. Where do they get ensembles if we have one row)?
 
secret #:
I've always had a question for the inventors of ergodicity. Where do they get ensembles if we have one row)?

where in our country? In the financial markets?

 
Dmytryi Nazarchuk #:

where in our country? In the financial markets?

Pretty much anywhere in life, except casinos and the HSR)
 
secret #:
Yes practically everywhere in life, except in casinos and the MSE)

There are ensembles in life.

In financial markets, non-stationarity is important

 
secret #:
I've always had a question for the inventors of ergodicity. Where do they get ensembles if we have a single row)?

Where? Apparently in the Multiverse containing our universe)

Reason: