This post has been de-listed
It is no longer included in search results and normal feeds (front page, hot posts, subreddit posts, etc). It remains visible only via the author's post history.
Hi all,
Im not a very proficient statistician, but I love the subject and have been learning it through the last few years whenever I had the time just because I believe its amazing.
Although that being said, I was able to grasp concepts such as regressions and propensity/entropy matching etc. When it comes to Bayesian statistics, my mind just doesnt bend to the concept. I feel that my mind is stubborn with some concepts which is not making any sense. Hence I had a few questions: 1. Why Bayesian? 2. Where have you applied Bayesian? 3. Have you found a difference in Bayesian vs frequentist stats? In other words, when would you consider Bayesian statistics? 4. Did you have a similar difficult learning curve? 5. What resources helped you?
Subreddit
Post Details
- Posted
- 1 year ago
- Reddit URL
- View post on reddit.com
- External URL
- reddit.com/r/statistics/...