3 ms·
Could you elaborate a bit? How do Bayesian methods avoid misinterpretation?
by Xcelerate 8y ago
Could you elaborate a bit? How do Bayesian methods avoid misinterpretation?
- remilouf 8y agoBy being explicit about the assumptions they make. It does not mean they are not biaised, but that you at least know what poison you chose.
- pps43 8y agoIf 10 people live in a village and none are diagnosed with cancer, then cancer incidence in that village is 0%.
- eanzenberg 8y agoNot sure if joking..
- pps43 8y agoWell, events over trials is frequentist definition. Unbiased estimate with nice statistical properties. You know that it's an underestimate because you have prior knowledge about cancer incidence. Bayesian methods let you incorporate that knowledge into estimation process, pulling the estimate up towards a more realistic value.
- mr_toad 8y ago> nice statistical properties. Undefined variance isn’t nice.
- joker3 8y agoThat doesn't mean that 0% is your best estimate of the future cancer rate. Even frequentists can look for better methods than the raw frequency.
- analog31 8y agoDo we know if being diagnosed with cancer is the same as actually having cancer?
- anthony_doan 8y agoFrequentist treat parameter as point estimate. Bayesian treat parameter as a distribution. The point estimate is base on sample space where as the parameter distribution is base the parameter space. I think learning both is good and people who pit those two school of statistic against each other are a bit too zealot. They're both tools and use them as needed and when one is easier than the other.