All Questions
Tagged with conditional-independence machine-learning
6
questions
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Conditional independence proof
I want to prove that
$\mathbb{P}(X|U,P) = \mathbb{P}(X|U) \implies \mathbb{P}(X|U,P,T) = \mathbb{P}(X|U,T)$
Where all the letters denote random variables. I'm not sure that this is right, but it seems ...
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0
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435
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AIPW and Cross-fitting (Stanford stat361)
I am reading lecture note (Stanford stat361: https://web.stanford.edu/~swager/stats361.pdf) written by Stefan Wager. At page 23-24 the author states dependent summands become independent after ...
- 39
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Is there any work on, given a set of conditional independences, build the graphical model?
The graphical model Represents probabilistic independence.
Given a set of conditional independence assumptions, how to find the probabilistic graphical model that maximizes some metrics (e.g, minimum ...
2
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3
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Bishop PRML Question 8.10: d-separation [closed]
I have trouble with solving the second part of question 8.10 from Bishop's PRML (attached as image).
I tried several things. Here's my latest attempt:
\begin{align}
p(a, b, d) &= \int p(a)p(b)p(...
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Creating multivariate regression model out of multiple univariate models
A bunch of ML regression models are defined only for predicting the value of a single variable.
Or have standard implementation that are only for the univariate case.
For example support vector ...
- 3,174
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Is the example distribution conditionally independent?
I am studying for my machine learning exam and i have problems with basic conditional probability. I have to solve the following exercise:
The formular for conditionally independence is
$P(Y|x) = \...
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