How to predict unknown(hidden) value by incomplete value or partly recorded value
$begingroup$
Let me make it clear by make an example:
Suppose I knew a person's cost each month for 3 years like:
2016Jan : $2500
2016Feb : $4000
2016Mar : $3500
...
Just according to this, can I predict how much he earned each month in these years? If I could, what model should use? If I couldn't, what info I need to make this possible. If I couldn't guess in 100 percent but I could guess by some probability, what model should I use?
Another example:
Need to estimate how much each store sells in each city, however I could only got the sales when they record it in electric system, if they didn't record it in electric system(may use paper or something else); then I don't know, how can I get all sales, not just the sales record in electric system?
Any suggestion is welcomed
predictive-modeling prediction probability
asked Nov 14 '18 at 8:12
cloudscomputescloudscomputes
1063
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bumped to the homepage by Community♦ 14 hours ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
add a comment |
$begingroup$
Let me make it clear by make an example:
Suppose I knew a person's cost each month for 3 years like:
2016Jan : $2500
2016Feb : $4000
2016Mar : $3500
...
Just according to this, can I predict how much he earned each month in these years? If I could, what model should use? If I couldn't, what info I need to make this possible. If I couldn't guess in 100 percent but I could guess by some probability, what model should I use?
Another example:
Need to estimate how much each store sells in each city, however I could only got the sales when they record it in electric system, if they didn't record it in electric system(may use paper or something else); then I don't know, how can I get all sales, not just the sales record in electric system?
Any suggestion is welcomed
predictive-modeling prediction probability
asked Nov 14 '18 at 8:12
cloudscomputescloudscomputes
1063
$endgroup$
bumped to the homepage by Community♦ 14 hours ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
add a comment |
$begingroup$
Let me make it clear by make an example:
Suppose I knew a person's cost each month for 3 years like:
2016Jan : $2500
2016Feb : $4000
2016Mar : $3500
...
Just according to this, can I predict how much he earned each month in these years? If I could, what model should use? If I couldn't, what info I need to make this possible. If I couldn't guess in 100 percent but I could guess by some probability, what model should I use?
Another example:
Need to estimate how much each store sells in each city, however I could only got the sales when they record it in electric system, if they didn't record it in electric system(may use paper or something else); then I don't know, how can I get all sales, not just the sales record in electric system?
Any suggestion is welcomed
predictive-modeling prediction probability
asked Nov 14 '18 at 8:12
cloudscomputescloudscomputes
1063
$endgroup$
Let me make it clear by make an example:
Suppose I knew a person's cost each month for 3 years like:
2016Jan : $2500
2016Feb : $4000
2016Mar : $3500
...
Just according to this, can I predict how much he earned each month in these years? If I could, what model should use? If I couldn't, what info I need to make this possible. If I couldn't guess in 100 percent but I could guess by some probability, what model should I use?
Another example:
Need to estimate how much each store sells in each city, however I could only got the sales when they record it in electric system, if they didn't record it in electric system(may use paper or something else); then I don't know, how can I get all sales, not just the sales record in electric system?
Any suggestion is welcomed
predictive-modeling prediction probability
predictive-modeling prediction probability
asked Nov 14 '18 at 8:12
cloudscomputescloudscomputes
1063
asked Nov 14 '18 at 8:12
cloudscomputescloudscomputes
1063
asked Nov 14 '18 at 8:12
cloudscomputescloudscomputes
1063
asked Nov 14 '18 at 8:12
cloudscomputescloudscomputes
1063
asked Nov 14 '18 at 8:12
cloudscomputescloudscomputes
1063
1063
bumped to the homepage by Community♦ 14 hours ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
bumped to the homepage by Community♦ 14 hours ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
$begingroup$
Actually you can use almost any regression model. When you do not want to go too much into theory simply use a gaussian process provided by sklearn. This model gives you predictions and uncertainties.
answered Nov 14 '18 at 8:43
Andreas LookAndreas Look
449111
$endgroup$
$begingroup$
Thanks for let me know the gaussian process by sklearn
$endgroup$
– cloudscomputes
Nov 14 '18 at 9:09
$begingroup$
According to my understanding these days, GP need a prior (x,y), to build on (x*,y*), however, in my case, I don't have any y, what I have is only x and x*, any further ideas?
$endgroup$
– cloudscomputes
Nov 16 '18 at 8:40
$begingroup$
You can use the month (jan., feb., etc..) as your $x$ and the income as your $y$. Afterwards you calculate for missing $x$ your corresponding $y$ with the gp.
$endgroup$
– Andreas Look
Nov 16 '18 at 8:49
$begingroup$
I don't have any income data, I only have person's living cost
$endgroup$
– cloudscomputes
Nov 19 '18 at 3:07
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
Actually you can use almost any regression model. When you do not want to go too much into theory simply use a gaussian process provided by sklearn. This model gives you predictions and uncertainties.
answered Nov 14 '18 at 8:43
Andreas LookAndreas Look
449111
$endgroup$
$begingroup$
Thanks for let me know the gaussian process by sklearn
$endgroup$
– cloudscomputes
Nov 14 '18 at 9:09
$begingroup$
According to my understanding these days, GP need a prior (x,y), to build on (x*,y*), however, in my case, I don't have any y, what I have is only x and x*, any further ideas?
$endgroup$
– cloudscomputes
Nov 16 '18 at 8:40
$begingroup$
You can use the month (jan., feb., etc..) as your $x$ and the income as your $y$. Afterwards you calculate for missing $x$ your corresponding $y$ with the gp.
$endgroup$
– Andreas Look
Nov 16 '18 at 8:49
$begingroup$
I don't have any income data, I only have person's living cost
$endgroup$
– cloudscomputes
Nov 19 '18 at 3:07
add a comment |
$begingroup$
Actually you can use almost any regression model. When you do not want to go too much into theory simply use a gaussian process provided by sklearn. This model gives you predictions and uncertainties.
answered Nov 14 '18 at 8:43
Andreas LookAndreas Look
449111
$endgroup$
$begingroup$
Thanks for let me know the gaussian process by sklearn
$endgroup$
– cloudscomputes
Nov 14 '18 at 9:09
$begingroup$
According to my understanding these days, GP need a prior (x,y), to build on (x*,y*), however, in my case, I don't have any y, what I have is only x and x*, any further ideas?
$endgroup$
– cloudscomputes
Nov 16 '18 at 8:40
$begingroup$
You can use the month (jan., feb., etc..) as your $x$ and the income as your $y$. Afterwards you calculate for missing $x$ your corresponding $y$ with the gp.
$endgroup$
– Andreas Look
Nov 16 '18 at 8:49
$begingroup$
I don't have any income data, I only have person's living cost
$endgroup$
– cloudscomputes
Nov 19 '18 at 3:07
add a comment |
$begingroup$
Actually you can use almost any regression model. When you do not want to go too much into theory simply use a gaussian process provided by sklearn. This model gives you predictions and uncertainties.
answered Nov 14 '18 at 8:43
Andreas LookAndreas Look
449111
$endgroup$
Actually you can use almost any regression model. When you do not want to go too much into theory simply use a gaussian process provided by sklearn. This model gives you predictions and uncertainties.
answered Nov 14 '18 at 8:43
Andreas LookAndreas Look
449111
edited Nov 14 '18 at 9:10
answered Nov 14 '18 at 8:43
Andreas LookAndreas Look
449111
answered Nov 14 '18 at 8:43
Andreas LookAndreas Look
449111
answered Nov 14 '18 at 8:43
Andreas LookAndreas Look
449111
449111
$begingroup$
Thanks for let me know the gaussian process by sklearn
$endgroup$
– cloudscomputes
Nov 14 '18 at 9:09
$begingroup$
According to my understanding these days, GP need a prior (x,y), to build on (x*,y*), however, in my case, I don't have any y, what I have is only x and x*, any further ideas?
$endgroup$
– cloudscomputes
Nov 16 '18 at 8:40
$begingroup$
You can use the month (jan., feb., etc..) as your $x$ and the income as your $y$. Afterwards you calculate for missing $x$ your corresponding $y$ with the gp.
$endgroup$
– Andreas Look
Nov 16 '18 at 8:49
$begingroup$
I don't have any income data, I only have person's living cost
$endgroup$
– cloudscomputes
Nov 19 '18 at 3:07
add a comment |
$begingroup$
Thanks for let me know the gaussian process by sklearn
$endgroup$
– cloudscomputes
Nov 14 '18 at 9:09
$begingroup$
According to my understanding these days, GP need a prior (x,y), to build on (x*,y*), however, in my case, I don't have any y, what I have is only x and x*, any further ideas?
$endgroup$
– cloudscomputes
Nov 16 '18 at 8:40
$begingroup$
You can use the month (jan., feb., etc..) as your $x$ and the income as your $y$. Afterwards you calculate for missing $x$ your corresponding $y$ with the gp.
$endgroup$
– Andreas Look
Nov 16 '18 at 8:49
$begingroup$
I don't have any income data, I only have person's living cost
$endgroup$
– cloudscomputes
Nov 19 '18 at 3:07
$begingroup$
Thanks for let me know the gaussian process by sklearn
$endgroup$
– cloudscomputes
Nov 14 '18 at 9:09
$begingroup$
Thanks for let me know the gaussian process by sklearn
$endgroup$
– cloudscomputes
Nov 14 '18 at 9:09
$begingroup$
According to my understanding these days, GP need a prior (x,y), to build on (x*,y*), however, in my case, I don't have any y, what I have is only x and x*, any further ideas?
$endgroup$
– cloudscomputes
Nov 16 '18 at 8:40
$begingroup$
According to my understanding these days, GP need a prior (x,y), to build on (x*,y*), however, in my case, I don't have any y, what I have is only x and x*, any further ideas?
$endgroup$
– cloudscomputes
Nov 16 '18 at 8:40
$begingroup$
You can use the month (jan., feb., etc..) as your $x$ and the income as your $y$. Afterwards you calculate for missing $x$ your corresponding $y$ with the gp.
$endgroup$
– Andreas Look
Nov 16 '18 at 8:49
$begingroup$
You can use the month (jan., feb., etc..) as your $x$ and the income as your $y$. Afterwards you calculate for missing $x$ your corresponding $y$ with the gp.
$endgroup$
– Andreas Look
Nov 16 '18 at 8:49
$begingroup$
I don't have any income data, I only have person's living cost
$endgroup$
– cloudscomputes
Nov 19 '18 at 3:07
$begingroup$
I don't have any income data, I only have person's living cost
$endgroup$
– cloudscomputes
Nov 19 '18 at 3:07
add a comment |
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