As a machine learner coming from computer science, I do not had a solid education in statistics. Frankly, my past data analysis experience is dominated by hands-on approaches. I have a solid knowledge about a bunch of algorithms, both ml and statistics (when to apply, properties which may affect the result etc.) , but my theoretical knowledge really has big gaps (I keep learning). Hence I am able to answer questions more in the sense of "from my experience" but not in the sense of "I know that xy is definitely true".
I will remain silent for most of the time, but sometimes certain question remain open, which I have the feeling I can provide some hints (e.g. this one: Averaged continuous Kernel Density Estimates in lieu of a discrete Kernel Density Estimate in Monte Carlo Proceedure).
Now my question: Should I please keep my mouth shut to not confuse the questioner or am I allowed to contribute to the best of my knowledge.
I apologize if this question itself is not appropriate for this site.