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Bayesian network probability diamond shape


Bayesian Network Probability involving intersectionProbability Bayesian network problemBayesian probabilityConditional and non-conditional probability in Bayesian networkBayesian Network and Conditional IndependenceBayesian Network ProbabilityHow to create a Bayesian network?Bayes network probability questionIs this Bayesian Network Probability calculation correct?Variable Elimination Bayesian Belief Network













0












$begingroup$


enter image description here



I am looking to find $P(A=0,D=1)$.



We will have something like $(0.5)(.......)$



The dots are the following:



$P(D=1|C=0,B=0)*P(C=0,B=0|A=1) + dots + P(D=1|C=1,B=1)*P(C=1,B=1|A=1)$



How am I supposed to find $P(C=0,B=0|A=1)$, and is this the correct approach?










share|cite|improve this question









$endgroup$











  • $begingroup$
    Are the variables supposed to be binary variables, i.e. assuming only values in 0,1?
    $endgroup$
    – Thomas
    Mar 30 at 6:12










  • $begingroup$
    Yes sorry they are only 0 , 1
    $endgroup$
    – K Split X
    Mar 30 at 15:07















0












$begingroup$


enter image description here



I am looking to find $P(A=0,D=1)$.



We will have something like $(0.5)(.......)$



The dots are the following:



$P(D=1|C=0,B=0)*P(C=0,B=0|A=1) + dots + P(D=1|C=1,B=1)*P(C=1,B=1|A=1)$



How am I supposed to find $P(C=0,B=0|A=1)$, and is this the correct approach?










share|cite|improve this question









$endgroup$











  • $begingroup$
    Are the variables supposed to be binary variables, i.e. assuming only values in 0,1?
    $endgroup$
    – Thomas
    Mar 30 at 6:12










  • $begingroup$
    Yes sorry they are only 0 , 1
    $endgroup$
    – K Split X
    Mar 30 at 15:07













0












0








0





$begingroup$


enter image description here



I am looking to find $P(A=0,D=1)$.



We will have something like $(0.5)(.......)$



The dots are the following:



$P(D=1|C=0,B=0)*P(C=0,B=0|A=1) + dots + P(D=1|C=1,B=1)*P(C=1,B=1|A=1)$



How am I supposed to find $P(C=0,B=0|A=1)$, and is this the correct approach?










share|cite|improve this question









$endgroup$




enter image description here



I am looking to find $P(A=0,D=1)$.



We will have something like $(0.5)(.......)$



The dots are the following:



$P(D=1|C=0,B=0)*P(C=0,B=0|A=1) + dots + P(D=1|C=1,B=1)*P(C=1,B=1|A=1)$



How am I supposed to find $P(C=0,B=0|A=1)$, and is this the correct approach?







probability bayesian bayesian-network






share|cite|improve this question













share|cite|improve this question











share|cite|improve this question




share|cite|improve this question










asked Mar 30 at 2:46









K Split XK Split X

4,28221333




4,28221333











  • $begingroup$
    Are the variables supposed to be binary variables, i.e. assuming only values in 0,1?
    $endgroup$
    – Thomas
    Mar 30 at 6:12










  • $begingroup$
    Yes sorry they are only 0 , 1
    $endgroup$
    – K Split X
    Mar 30 at 15:07
















  • $begingroup$
    Are the variables supposed to be binary variables, i.e. assuming only values in 0,1?
    $endgroup$
    – Thomas
    Mar 30 at 6:12










  • $begingroup$
    Yes sorry they are only 0 , 1
    $endgroup$
    – K Split X
    Mar 30 at 15:07















$begingroup$
Are the variables supposed to be binary variables, i.e. assuming only values in 0,1?
$endgroup$
– Thomas
Mar 30 at 6:12




$begingroup$
Are the variables supposed to be binary variables, i.e. assuming only values in 0,1?
$endgroup$
– Thomas
Mar 30 at 6:12












$begingroup$
Yes sorry they are only 0 , 1
$endgroup$
– K Split X
Mar 30 at 15:07




$begingroup$
Yes sorry they are only 0 , 1
$endgroup$
– K Split X
Mar 30 at 15:07










1 Answer
1






active

oldest

votes


















1












$begingroup$

Hint: The joint probability factors as follows,



$P_A,B,C,D = P_Acdot P_Acdot P_Ccdot P_D.$



The marginal probability $P_A,D$ is computed as follows:



$P_A,D (a,d) = sum_bin Bsum_cin C P_A,B,C,D(a,b,c,d).$



Its just a lengthy calculation.



Add: For $P_B,C(0,0|1)$ you calculate



$$P_A,B,C(1,0,0)/P_A(1)$$



where $P_A,B,C(a,b,c) = sum_din D P_A,B,C,D(a,b,c,d)$.






share|cite|improve this answer











$endgroup$












  • $begingroup$
    Can you maybe do one example of what the calculation would be? how do I find $P(C=0,B=0|A=1)$?
    $endgroup$
    – K Split X
    Mar 30 at 15:24










  • $begingroup$
    Aren't you supposing some independence assumptions with the factorization, e.g. $P(B,C|A)=P(B|A)P(C|A)$?
    $endgroup$
    – Thomas
    Mar 31 at 7:32










  • $begingroup$
    Doesn't help much.
    $endgroup$
    – Wuestenfux
    Mar 31 at 9:34










  • $begingroup$
    how did you obtain the factorization of the joint distribution? Is it trivial?
    $endgroup$
    – Thomas
    Mar 31 at 14:01











  • $begingroup$
    Its just according to the underlying graph.
    $endgroup$
    – Wuestenfux
    Apr 1 at 8:11











Your Answer





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1 Answer
1






active

oldest

votes








1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes









1












$begingroup$

Hint: The joint probability factors as follows,



$P_A,B,C,D = P_Acdot P_Acdot P_Ccdot P_D.$



The marginal probability $P_A,D$ is computed as follows:



$P_A,D (a,d) = sum_bin Bsum_cin C P_A,B,C,D(a,b,c,d).$



Its just a lengthy calculation.



Add: For $P_B,C(0,0|1)$ you calculate



$$P_A,B,C(1,0,0)/P_A(1)$$



where $P_A,B,C(a,b,c) = sum_din D P_A,B,C,D(a,b,c,d)$.






share|cite|improve this answer











$endgroup$












  • $begingroup$
    Can you maybe do one example of what the calculation would be? how do I find $P(C=0,B=0|A=1)$?
    $endgroup$
    – K Split X
    Mar 30 at 15:24










  • $begingroup$
    Aren't you supposing some independence assumptions with the factorization, e.g. $P(B,C|A)=P(B|A)P(C|A)$?
    $endgroup$
    – Thomas
    Mar 31 at 7:32










  • $begingroup$
    Doesn't help much.
    $endgroup$
    – Wuestenfux
    Mar 31 at 9:34










  • $begingroup$
    how did you obtain the factorization of the joint distribution? Is it trivial?
    $endgroup$
    – Thomas
    Mar 31 at 14:01











  • $begingroup$
    Its just according to the underlying graph.
    $endgroup$
    – Wuestenfux
    Apr 1 at 8:11















1












$begingroup$

Hint: The joint probability factors as follows,



$P_A,B,C,D = P_Acdot P_Acdot P_Ccdot P_D.$



The marginal probability $P_A,D$ is computed as follows:



$P_A,D (a,d) = sum_bin Bsum_cin C P_A,B,C,D(a,b,c,d).$



Its just a lengthy calculation.



Add: For $P_B,C(0,0|1)$ you calculate



$$P_A,B,C(1,0,0)/P_A(1)$$



where $P_A,B,C(a,b,c) = sum_din D P_A,B,C,D(a,b,c,d)$.






share|cite|improve this answer











$endgroup$












  • $begingroup$
    Can you maybe do one example of what the calculation would be? how do I find $P(C=0,B=0|A=1)$?
    $endgroup$
    – K Split X
    Mar 30 at 15:24










  • $begingroup$
    Aren't you supposing some independence assumptions with the factorization, e.g. $P(B,C|A)=P(B|A)P(C|A)$?
    $endgroup$
    – Thomas
    Mar 31 at 7:32










  • $begingroup$
    Doesn't help much.
    $endgroup$
    – Wuestenfux
    Mar 31 at 9:34










  • $begingroup$
    how did you obtain the factorization of the joint distribution? Is it trivial?
    $endgroup$
    – Thomas
    Mar 31 at 14:01











  • $begingroup$
    Its just according to the underlying graph.
    $endgroup$
    – Wuestenfux
    Apr 1 at 8:11













1












1








1





$begingroup$

Hint: The joint probability factors as follows,



$P_A,B,C,D = P_Acdot P_Acdot P_Ccdot P_D.$



The marginal probability $P_A,D$ is computed as follows:



$P_A,D (a,d) = sum_bin Bsum_cin C P_A,B,C,D(a,b,c,d).$



Its just a lengthy calculation.



Add: For $P_B,C(0,0|1)$ you calculate



$$P_A,B,C(1,0,0)/P_A(1)$$



where $P_A,B,C(a,b,c) = sum_din D P_A,B,C,D(a,b,c,d)$.






share|cite|improve this answer











$endgroup$



Hint: The joint probability factors as follows,



$P_A,B,C,D = P_Acdot P_Acdot P_Ccdot P_D.$



The marginal probability $P_A,D$ is computed as follows:



$P_A,D (a,d) = sum_bin Bsum_cin C P_A,B,C,D(a,b,c,d).$



Its just a lengthy calculation.



Add: For $P_B,C(0,0|1)$ you calculate



$$P_A,B,C(1,0,0)/P_A(1)$$



where $P_A,B,C(a,b,c) = sum_din D P_A,B,C,D(a,b,c,d)$.







share|cite|improve this answer














share|cite|improve this answer



share|cite|improve this answer








edited Mar 30 at 15:44

























answered Mar 30 at 12:01









WuestenfuxWuestenfux

5,4331513




5,4331513











  • $begingroup$
    Can you maybe do one example of what the calculation would be? how do I find $P(C=0,B=0|A=1)$?
    $endgroup$
    – K Split X
    Mar 30 at 15:24










  • $begingroup$
    Aren't you supposing some independence assumptions with the factorization, e.g. $P(B,C|A)=P(B|A)P(C|A)$?
    $endgroup$
    – Thomas
    Mar 31 at 7:32










  • $begingroup$
    Doesn't help much.
    $endgroup$
    – Wuestenfux
    Mar 31 at 9:34










  • $begingroup$
    how did you obtain the factorization of the joint distribution? Is it trivial?
    $endgroup$
    – Thomas
    Mar 31 at 14:01











  • $begingroup$
    Its just according to the underlying graph.
    $endgroup$
    – Wuestenfux
    Apr 1 at 8:11
















  • $begingroup$
    Can you maybe do one example of what the calculation would be? how do I find $P(C=0,B=0|A=1)$?
    $endgroup$
    – K Split X
    Mar 30 at 15:24










  • $begingroup$
    Aren't you supposing some independence assumptions with the factorization, e.g. $P(B,C|A)=P(B|A)P(C|A)$?
    $endgroup$
    – Thomas
    Mar 31 at 7:32










  • $begingroup$
    Doesn't help much.
    $endgroup$
    – Wuestenfux
    Mar 31 at 9:34










  • $begingroup$
    how did you obtain the factorization of the joint distribution? Is it trivial?
    $endgroup$
    – Thomas
    Mar 31 at 14:01











  • $begingroup$
    Its just according to the underlying graph.
    $endgroup$
    – Wuestenfux
    Apr 1 at 8:11















$begingroup$
Can you maybe do one example of what the calculation would be? how do I find $P(C=0,B=0|A=1)$?
$endgroup$
– K Split X
Mar 30 at 15:24




$begingroup$
Can you maybe do one example of what the calculation would be? how do I find $P(C=0,B=0|A=1)$?
$endgroup$
– K Split X
Mar 30 at 15:24












$begingroup$
Aren't you supposing some independence assumptions with the factorization, e.g. $P(B,C|A)=P(B|A)P(C|A)$?
$endgroup$
– Thomas
Mar 31 at 7:32




$begingroup$
Aren't you supposing some independence assumptions with the factorization, e.g. $P(B,C|A)=P(B|A)P(C|A)$?
$endgroup$
– Thomas
Mar 31 at 7:32












$begingroup$
Doesn't help much.
$endgroup$
– Wuestenfux
Mar 31 at 9:34




$begingroup$
Doesn't help much.
$endgroup$
– Wuestenfux
Mar 31 at 9:34












$begingroup$
how did you obtain the factorization of the joint distribution? Is it trivial?
$endgroup$
– Thomas
Mar 31 at 14:01





$begingroup$
how did you obtain the factorization of the joint distribution? Is it trivial?
$endgroup$
– Thomas
Mar 31 at 14:01













$begingroup$
Its just according to the underlying graph.
$endgroup$
– Wuestenfux
Apr 1 at 8:11




$begingroup$
Its just according to the underlying graph.
$endgroup$
– Wuestenfux
Apr 1 at 8:11

















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