This course describes Bayesian statistics, in which one's inferences about parameters or hypotheses are updated as evidence accumulates. You will learn to use Bayes’ rule to transform prior probabilities into posterior probabilities, and be introduced to the underlying theory and perspective of the Bayesian paradigm. The course will apply Bayesian methods to several practical problems, to show end-to-end Bayesian analyses that move from framing the question to building models to eliciting prior probabilities to implementing in R (free statistical software) the final posterior distribution. Additionally, the course will introduce credible regions, Bayesian comparisons of means and proportions, Bayesian regression and inference using multiple models, and discussion of Bayesian prediction.
Байесовская статистикаУниверситет Дьюка
Об этом курсе
Duke University has about 13,000 undergraduate and graduate students and a world-class faculty helping to expand the frontiers of knowledge. The university has a strong commitment to applying knowledge in service to society, both near its North Carolina campus and around the world.
- 5 stars45,29 %
- 4 stars20,64 %
- 3 stars14,70 %
- 2 stars9,29 %
- 1 star10,06 %
Лучшие отзывы о курсе БАЙЕСОВСКАЯ СТАТИСТИКА
Week 3 was too much information too soon, but week 4 was great again like the other courses in this specialisation. Learned so much, thanks!
An interesting and challenging course, would be better with more real examples and explanation as some of the material felt rushed
Learnt a lot. Though the subject material was hard to grasp first hand, it is good that instructor was readily available to help us through.
The course is compact that I've learnt a lot of new concepts in a week of coursework. A good sampler of topics related to Bayesian Statistics.
Часто задаваемые вопросы
Когда я получу доступ к лекциям и заданиям?
Что я получу, оформив подписку на специализацию?
Можно ли получить финансовую помощь?
What background knowledge is necessary?
Will I receive a transcript from Duke University for completing this course?
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