Bayesian (after Thomas Bayes) refers to methods in probability and statistics that involve quantifying uncertainty about parameter or latent variable estimates by incorporating both prior and observed information.
I'm trying to sort a bunch of products by customer ratings using a 5 star system. The site I'm setting this …
sorting statistics user-experience rating bayesianWhat is the difference between a Bayesian network and a Naive Bayes classifier? I noticed one is just implemented in …
matlab machine-learning bayesian naivebayes bayesian-networksI have a dataset looks like this: data.flu <- data.frame(chills = c(1,1,1,0,0,0,0,1), runnyNose = c(0,1,0,1,0,1,1,1), headache = c("M", "…
r machine-learning bayesianFor example, we always assumed that the data or signal error is a Gaussian distribution? why?
math machine-learning bayesian gaussianRecently I learnt the bayesian linear regression model, but what I'm confused is that in which situation we should use …
machine-learning bayesianThis is a good one because it's so counter-intuitive: Imagine an urn filled with balls, two-thirds of which are of …
math probability bayesianI've found a similar project here: Sentiment analysis for Twitter in Python . However, I'm working on C# and need to …
c# twitter bayesian classificationI need to provide a weighted sort on 2+ factors, ordered by "relevancy". However, the factors aren't completely isolated, in that …
algorithm sorting bayesian relevance weighted-averageI am looking for a Python library which does Bayesian Spam Filtering. I looked at SpamBayes and OpenBayes, but both …
python spam-prevention bayesian bayesian-networksI'm new to JAGS, and I'm trying to run a simple logistic regression. My data file is very simple: the …
r logistic-regression bayesian jags