# Questions tagged [bayesian-network]

For questions related to Bayesian networks, the generic example of a directed probabilistic graphical model. Includes dynamic Bayesian networks, e.g. Hidden Markov Models (HMMs) and Kalman Filters. For applications of Bayesian networks in any field, e.g. machine learning. NOT for general questions about Bayes' theorem, Bayesian statistics, conditional probabilities, networks, or graph theory.

246 questions
0answers
14 views

### Is it okay to not provide a whitelist when using the Hill-Climbing algorithm?

So, I'm trying to use Hill-Climbing for a Bayesian learning network. For some reasons, I do not know all of the variables that I'm going to use and hence, I cannot provide a whitelist or a blacklist ...
0answers
15 views

### A question about functions from binary inputs to binary outputs

The following is a distillation of part of a larger research problem. (I have several clunky proofs for special cases, but an elegant method for the general case is somehow escaping me.) Consider a ...
0answers
16 views

### Evidences in Bayesian Networks

When inferring the probability for a random variable to outcome a particular value in a Bayesian Network, one may assign a set of evidence. A set of evidence is basically a set of random variables ...
0answers
14 views

### Bayesian network prediction model in rjags

I have a text to predict log-level of a poisonous gas in houses in different counties in Minnesota. This is the part of the table I have been given: The whole table is located here: https://ufile.io/...
2answers
30 views

1answer
65 views

0answers
25 views

### How does marginalizing over one variable affect independencies in the distribution?

I was requested to find a general algorithm which, given a Bayesian network graph $\mathcal{G}$ over a set of random variables $\mathcal{X}$ and a node to remove $X\in \mathcal{X}$, builds a new ...
1answer
32 views

1answer
28 views

### Variable Elimination Bayesian Belief Network

I'm rather confused on how to perform variable elimination in the following bayesian believe network. If I have the following query queryP(B|G, E) with a variable ordering of G, E, A, B, C, D, F. My ...
0answers
53 views

### Bayes Rule - Expanding the conditional probabilties

Suppose I am generating a sample for $P(A=0|B=0,C=0,AvB=0,CvA=2,BvC=0)$ The pseudo probability for this would be given as: $P'(A=0|B=0,C=0,AvB=0,CvA=2,BvC=0) = P(A=0)P(B=0,C=0,AvB=0,CvA=2,BvC=0|A=0)$ ...
0answers
22 views

0answers
15 views

### Derive rankings from a paired probability matrix

Similar to this question, I have a matrix of pairwise probabilities (say, p(a > b), p(b > c), p(a > c)) with which I'd like to calculate the probability of each possible ranking (p(a > b > c), p(b > a ...
0answers
22 views

### Question regarding Conditional Probability Tables (CPTs)

I'm a beginner in Bayesian networks. How were the numbers inside the highlighted area calculated? This is all the information I am given.
0answers
19 views

### How were these probability values calculated?

I'm learning about Bayesian Networks and am an absolute beginner and I stumbled upon this. My question is (might sound stupid), how were these values inside the red box calculated? What formula was ...
0answers
19 views

### Terminology: Dynamic Bayesian network with hidden process

I came across a problem which can be modelled using a special type of dynamic Bayesian network. I'm looking for a name for this kind of network, but could not find anything so far. It resembles a "...
0answers
28 views

### The invariant property of Kalman filter

I came a cross a property for Kalman filter known as invariant property. I could only find some information about it on a wikipedia article but I still struggle to understand it. The property is ...