7 votes
Accepted

What does the notation $\mathcal{N}(z; \mu, \sigma)$ stand for in statistics?

It means that $z$ has a (multivariate) normal distribution with 0 mean and identity covariance matrix. This essentially means each individual element of the vector $z$ has a standard normal ...
1 vote
Accepted

Is there an entry level textbook on Bayesian Inference that is a nice blend of theory and applications?

Using as a best reference accordingly my own google research, find the best post about best introductory Bayesian statistics book and summarize the answers. I find this post in stats.stackexchange ...
1 vote

Why do Bayesian algorithms work well with small datasets?

The main reason should be that Bayesian algorithms naturally incorporate a form of regularisation (the prior), so they should be less prone to over-fitting the small dataset. Of course, the choice of ...
  • 35k
1 vote

Are Bayesian networks important to learn in 2018?

The chapters for Bayesian Networks are: Quantifying Uncertainty Probabilistic Reasoning Dynamic Bayesian don't forget: Naive Bayes, hidden variables, Markov Maybe helpful: . Are We Going in the ...

Only top scored, non community-wiki answers of a minimum length are eligible