Continuous Stochastic Processes examples
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I am trying to understand various types of stochastic processes. In order for that to happen, I needed some simple examples to be built so that I can build an intuition about them.
According to the book of Hwei Hsu (Chapter-5, Page-161, "Description of a Random Process"), I can design the following simple and intuitive examples myself using only a standard die:
2. Continuous parameter (or Continuous-time) process
???
4. Continuous-state process
Suppose, we roll a die either a finite ($n$) number of times or an infinite number of times and plot $frac{e^{X(t)}}{1000}$ as a graph like the following:
My first question is: are my examples correct? If not, kindly help me to make the necessary corrections.
Secondly, what would be the example of (2)?
probability stochastic-processes random-variables
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add a comment |
$begingroup$
I am trying to understand various types of stochastic processes. In order for that to happen, I needed some simple examples to be built so that I can build an intuition about them.
According to the book of Hwei Hsu (Chapter-5, Page-161, "Description of a Random Process"), I can design the following simple and intuitive examples myself using only a standard die:
2. Continuous parameter (or Continuous-time) process
???
4. Continuous-state process
Suppose, we roll a die either a finite ($n$) number of times or an infinite number of times and plot $frac{e^{X(t)}}{1000}$ as a graph like the following:
My first question is: are my examples correct? If not, kindly help me to make the necessary corrections.
Secondly, what would be the example of (2)?
probability stochastic-processes random-variables
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This is not an example of what is asked for. Your parameter is discrete. What you need is something like temperature as a function of time.
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– herb steinberg
Jan 10 at 22:09
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@herbsteinberg how can a time be continuous if I sample it after a regular interval?
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– user366312
Jan 11 at 14:15
$begingroup$
It's continuous as long as it is a function of time. You can sample at regular or random intervals,whenever the underlying process is continuous.
$endgroup$
– herb steinberg
Jan 11 at 18:04
add a comment |
$begingroup$
I am trying to understand various types of stochastic processes. In order for that to happen, I needed some simple examples to be built so that I can build an intuition about them.
According to the book of Hwei Hsu (Chapter-5, Page-161, "Description of a Random Process"), I can design the following simple and intuitive examples myself using only a standard die:
2. Continuous parameter (or Continuous-time) process
???
4. Continuous-state process
Suppose, we roll a die either a finite ($n$) number of times or an infinite number of times and plot $frac{e^{X(t)}}{1000}$ as a graph like the following:
My first question is: are my examples correct? If not, kindly help me to make the necessary corrections.
Secondly, what would be the example of (2)?
probability stochastic-processes random-variables
$endgroup$
I am trying to understand various types of stochastic processes. In order for that to happen, I needed some simple examples to be built so that I can build an intuition about them.
According to the book of Hwei Hsu (Chapter-5, Page-161, "Description of a Random Process"), I can design the following simple and intuitive examples myself using only a standard die:
2. Continuous parameter (or Continuous-time) process
???
4. Continuous-state process
Suppose, we roll a die either a finite ($n$) number of times or an infinite number of times and plot $frac{e^{X(t)}}{1000}$ as a graph like the following:
My first question is: are my examples correct? If not, kindly help me to make the necessary corrections.
Secondly, what would be the example of (2)?
probability stochastic-processes random-variables
probability stochastic-processes random-variables
asked Jan 10 at 20:43
user366312user366312
593317
593317
$begingroup$
This is not an example of what is asked for. Your parameter is discrete. What you need is something like temperature as a function of time.
$endgroup$
– herb steinberg
Jan 10 at 22:09
$begingroup$
@herbsteinberg how can a time be continuous if I sample it after a regular interval?
$endgroup$
– user366312
Jan 11 at 14:15
$begingroup$
It's continuous as long as it is a function of time. You can sample at regular or random intervals,whenever the underlying process is continuous.
$endgroup$
– herb steinberg
Jan 11 at 18:04
add a comment |
$begingroup$
This is not an example of what is asked for. Your parameter is discrete. What you need is something like temperature as a function of time.
$endgroup$
– herb steinberg
Jan 10 at 22:09
$begingroup$
@herbsteinberg how can a time be continuous if I sample it after a regular interval?
$endgroup$
– user366312
Jan 11 at 14:15
$begingroup$
It's continuous as long as it is a function of time. You can sample at regular or random intervals,whenever the underlying process is continuous.
$endgroup$
– herb steinberg
Jan 11 at 18:04
$begingroup$
This is not an example of what is asked for. Your parameter is discrete. What you need is something like temperature as a function of time.
$endgroup$
– herb steinberg
Jan 10 at 22:09
$begingroup$
This is not an example of what is asked for. Your parameter is discrete. What you need is something like temperature as a function of time.
$endgroup$
– herb steinberg
Jan 10 at 22:09
$begingroup$
@herbsteinberg how can a time be continuous if I sample it after a regular interval?
$endgroup$
– user366312
Jan 11 at 14:15
$begingroup$
@herbsteinberg how can a time be continuous if I sample it after a regular interval?
$endgroup$
– user366312
Jan 11 at 14:15
$begingroup$
It's continuous as long as it is a function of time. You can sample at regular or random intervals,whenever the underlying process is continuous.
$endgroup$
– herb steinberg
Jan 11 at 18:04
$begingroup$
It's continuous as long as it is a function of time. You can sample at regular or random intervals,whenever the underlying process is continuous.
$endgroup$
– herb steinberg
Jan 11 at 18:04
add a comment |
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$begingroup$
This is not an example of what is asked for. Your parameter is discrete. What you need is something like temperature as a function of time.
$endgroup$
– herb steinberg
Jan 10 at 22:09
$begingroup$
@herbsteinberg how can a time be continuous if I sample it after a regular interval?
$endgroup$
– user366312
Jan 11 at 14:15
$begingroup$
It's continuous as long as it is a function of time. You can sample at regular or random intervals,whenever the underlying process is continuous.
$endgroup$
– herb steinberg
Jan 11 at 18:04