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gung - Reinstate Monica
gung - Reinstate Monica
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What isare the relationrelationships and the differences between causal inference and prediction (classificationboth classification and regression)?

In the prediction context, we have the predictor/input variables and response/output variables. Does that mean that there is causal relation between input and output variables? So, does prediction belong to causal inference?

If I understand correctly, causal inference considers to estimate conditional distribution of one random variable given another random variable, and often use graphical models to represent the conditional independence between random variables. So, causal inference, in this sense, isn't prediction, is it?

What is the relation and the differences between causal inference and prediction (classification and regression)?

In the prediction context, we have the predictor/input variables and response/output variables. Does that mean that there is causal relation between input and output variables? So, does prediction belong to causal inference?

If I understand correctly, causal inference considers to estimate conditional distribution of one random variable given another random variable, and often use graphical models to represent the conditional independence between random variables. So, causal inference, in this sense, isn't prediction, is it?

What are the relationships and the differences between causal inference and prediction (both classification and regression)?

In the prediction context, we have the predictor/input variables and response/output variables. Does that mean that there is causal relation between input and output variables? So, does prediction belong to causal inference?

If I understand correctly, causal inference considers to estimate conditional distribution of one random variable given another random variable, and often use graphical models to represent the conditional independence between random variables. So, causal inference, in this sense, isn't prediction, is it?

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edit approved Jan 12, 2019 at 19:38
user82135
edit approved Jan 12, 2019 at 19:38
user82135

Relation What is the relation between causal inference and prediction (classification and regression)?

I was wondering whatWhat is the relation and the differences are between causal inference and prediction (classification and regression)?

For example,

In the prediction context, we have the predictor/input variables and response/output variables. Does that mean that there is causal relation between input and output variables? So So, does prediction belong to causal inference?

If I understand correctly, causal inference considers to estimate conditional distribution of one random variable given another random variable, and often use graphical models to represent the conditional independence between random variables. So, causal inference, in this sense, isn't prediction, is it?

Thanks and regards!

Relation between causal inference and prediction (classification and regression)

I was wondering what relation and differences are between causal inference and prediction (classification and regression)?

For example,

In prediction, we have predictor/input variables and response/output variables. Does that mean that there is causal relation between input and output variables? So does prediction belong to causal inference?

If I understand correctly, causal inference considers to estimate conditional distribution of one random variable given another random variable, and often use graphical models to represent the conditional independence between random variables. So causal inference in this sense isn't prediction, is it?

Thanks and regards!

What is the relation between causal inference and prediction?

What is the relation and the differences between causal inference and prediction (classification and regression)?

In the prediction context, we have the predictor/input variables and response/output variables. Does that mean that there is causal relation between input and output variables? So, does prediction belong to causal inference?

If I understand correctly, causal inference considers to estimate conditional distribution of one random variable given another random variable, and often use graphical models to represent the conditional independence between random variables. So, causal inference, in this sense, isn't prediction, is it?

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Tim
Tim
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Relation between causal inference and prediction (classification and regression)

I was wondering what relation and differences are between causal inference and prediction (classification and regression)?

For example,

In prediction, we have predictor/input variables and response/output variables. Does that mean that there is causal relation between input and output variables? So does prediction belong to causal inference?

If I understand correctly, causal inference considers to estimate conditional distribution of one random variable given another random variable, and often use graphical models to represent the conditional independence between random variables. So causal inference in this sense isn't prediction, is it?

Thanks and regards!