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모두를 위한 열린 강좌 KOCW

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  • 주제분류
    자연과학 >수학ㆍ물리ㆍ천문ㆍ지리 >통계학
  • 강의학기
    2014년 2학기
  • 조회수
    51,504
  • 평점
    5/5.0 (4)
확률 및 통계의 기본적인 무작위 변수, 확률 분포, 특수 분포 및 그들의 연관성, 평가법, 가설의 검증 및 희귀법 등에 관한 것을 습득하고 이들의 응용에 관한 것을 공부한다.
Introduction
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차시별 강의

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1. 비디오 Introduction Introduction, Sets, probabilistic models, conditional probability, total probability theorem, Bayes'rule URL
2. 비디오 Introduction Introduction, Sets, probabilistic models, conditional probability, total probability theorem, Bayes'rule URL
3. 비디오 Introduction Introduction, Sets, probabilistic models, conditional probability, total probability theorem, Bayes'rule URL
4. 비디오 Introduction/Independence and random variables Introduction, Sets, probabilistic models, conditional probability, total probability theorem, Bayes'rule/ Independence, counting, discrete random variables (basic concepts, PMFs and function of random variables) URL
5. 비디오 Independence and random variables Independence, counting, discrete random variables (basic concepts, PMFs and function of random variables) URL
6. 비디오 Independence and random variables Independence, counting, discrete random variables (basic concepts, PMFs and function of random variables) URL
7. 비디오 Independence and random variables Independence, counting, discrete random variables (basic concepts, PMFs and function of random variables) URL
9. 비디오 Discrete random variables Expectation, mean and bariance, hoint PMFs of multiple RVs, conditioning, independence URL
10. 비디오 Discrete random variables Expectation, mean and bariance, hoint PMFs of multiple RVs, conditioning, independence URL
11. 비디오 Continuous random variables PDFs, CDFs, Nomal random variables, joint PDFs of multiple random variables URL
12. 비디오 Continuous random variables PDFs, CDFs, Nomal random variables, joint PDFs of multiple random variables URL
13. 비디오 Continuous random variables PDFs, CDFs, Nomal random variables, joint PDFs of multiple random variables URL
14. 비디오 Continuous random variables PDFs, CDFs, Nomal random variables, joint PDFs of multiple random variables URL
15. 비디오 Continuous random variables PDFs, CDFs, Nomal random variables, joint PDFs of multiple random variables URL
비디오 Continuous random variables PDFs, CDFs, Nomal random variables, joint PDFs of multiple random variables URL
비디오 Continuous random variables PDFs, CDFs, Nomal random variables, joint PDFs of multiple random variables URL
비디오 Continuous random variables PDFs, CDFs, Nomal random variables, joint PDFs of multiple random variables URL
비디오 Continuous random variables PDFs, CDFs, Nomal random variables, joint PDFs of multiple random variables URL
비디오 Continuous random variables PDFs, CDFs, Nomal random variables, joint PDFs of multiple random variables URL
비디오 Continuous random variables PDFs, CDFs, Nomal random variables, joint PDFs of multiple random variables URL
비디오 Conditioning and bayes rule Conditioning, continuous Bayes rule, derived distributions URL
비디오 Conditioning and bayes rule Conditioning, continuous Bayes rule, derived distributions URL
비디오 Covariance and transforms Covariance, correlation, conditional expectation, transforms URL
비디오 Covariance and transforms Covariance, correlation, conditional expectation, transforms URL
비디오 Covariance and transforms Covariance, correlation, conditional expectation, transforms URL
비디오 Bayesian inference Bayesian inference, posterior distribution URL
비디오 Estimation Point estimation, hypothesis testion, MAP rule, Bayesian least mean squares estimation URL
비디오 Estimation Point estimation, hypothesis testion, MAP rule, Bayesian least mean squares estimation URL

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강의 평가를 위해서는 로그인 해주세요.
re********** 2021-06-15 00:37
좋은 강의 감사합니다.
운영자2015-12-29 10:27
안녕하세요. KOCW운영팀입니다. 주 교재는 Introduction to Probability, D.Bertsekas, J.Tsitsklis, hena Scientific 입니다.
ca******* 2015-12-24 15:49
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