Bajesovska statistika

[Indy]

Posto ispada (na susednim topicima) da je to vazna tema za naucenjake, a ima nas koji smo na p.m. sa bilo cime u obliku jednacina, eto i topika za moguca razjasnjenja. Ako se to uopste moze razjasniti.Izguglah An Introduction to Bayesian Statistics Without Using Equations, Tomoharu Eguchi (Marine Turtle Newsletter 122:1-5, © 2008)intermecoa sad, na Bajesovsku statistiku (mislim da je srbisticki ovo ispravno, a?)

The rapid spread of the Bayesian approach among some ecological statisticians (or statistical ecologists) in the past few years has resulted in a bimodal trend of data analysis as some “traditional” ecologists, who are not well versed in mathematics, remain in the comfort zone of the traditional approaches, such as hypothesis testing, learned in introductory statistics classes. The mystery of Bayesian statistics is exacerbated by the lack of user-friendly software, which would facilitate the teaching of the principles to a general audience. Furthermore, publications with Bayesian statistics often contain mathematical equations and the terminology, which are not thoroughly explained in many instances. As Mrosovsky (2006) pointed out, methods of a scientific study should be explicitly stated in a publication so that readers can judge the validity of the reported findings. Simultaneously, in order for the readers to be a critical audience, they must learn the language and concepts of Bayesian statistics.

Hear, hear. Na zalost, odavde postaje komplikovanije. Shodno tome, idem odmah na finalni pasus, koji je takodje jednostavan.

The basic concepts of Bayesian statistics are simple. Bayesian statistics take into account your prior knowledge or experience. Bayesian statistics are not magic. If something does not fit well in your mind, it is likely some things are askew. Also, never hesitate to ask questions about the terminology. If you do not understand something in a paper, it may be that methods are not fully thought out or that you require more information to fully comprehend the analytical technique to critically evaluate the findings. To enhance our knowledge in science, we should strive to use the best tools available for analyzing data. Although some may argue against it (e.g., Dennis 1996), I think the Bayesian approach should be another set of tools in a biologist’s analytical toolbox.

Koga zanima stvarno, moze da procita i ono izmedju na gornjem linku. Good luck.