학생용

Bayesian inference: a talk with Jim Berger

Loading...
강의 계획서 보기

배우게 될 기술

Bayesian Statistics, Bayesian Linear Regression, Bayesian Inference, R Programming

검토

3.8(736개의 평가)
  • 5 stars
    45.51%
  • 4 stars
    21.19%
  • 3 stars
    14.53%
  • 2 stars
    9.10%
  • 1 star
    9.64%
WE
2016년 10월 31일

Very good introduction to Bayesian Statistics. Very interactive with Labs in Rmarkdown. Definitely requires thinking and a good math/analytic background is helpful.

SH
2017년 10월 29일

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.

수업에서
Perspectives on Bayesian Applications
This week consists of interviews with statisticians on how they use Bayesian statistics in their work, as well as the final project in the course.

강사:

  • Placeholder

    Mine Çetinkaya-Rundel

    Associate Professor of the Practice
  • Placeholder

    David Banks

    Professor of the Practice
  • Placeholder

    Colin Rundel

    Assistant Professor of the Practice
  • Placeholder

    Merlise A Clyde

    Professor

Coursera 카탈로그 살펴보기

무료로 참여해 맞춤화된 추천, 업데이트 및 제안을 받아보세요.