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Probabilistic Systems Analysis and Applied Probability (2013)
평균 오디오 길이:
25 minutes
영어
미국
에피소드 76 개
2015년 7월 7일부터
episodic
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In this lecture, the professor discussed classical inference, Linear regression, and binary hypothesis testing.
In this lecture, the professor discussed classical statistics, maximum likelihood (ML) estimation, and confidence intervals.
In this lecture, the professor discussed classical inference, simple binary hypothesis testing, and composite hypotheses testing.
In this lecture, the professor discussed Bayesian statistical inference, least means squares, and linear LMS estimation.
In this lecture, the professor discussed Bayesian statistical inference and inference models.
In this lecture, the professor discussed central limit theorem, Normal approximation, 1/2 correction for binomial approximation, and De Moivre–Laplace central limit theorem.
In this lecture, the professor discussed limit theorems, Chebyshev's inequality, and convergence "in probability".
In this lecture, the professor discussed Markov Processes, probability of blocked phone calls, absorption probabilities, and calculating expected time to absorption.
In this lecture, the professor discussed Markov process, steady-state behavior, and birth-death processes.
면책 조항: 이 페이지에 포함된 팟캐스트와 작품은 John Tsitsiklis, Qing He, Jimmy Li, Jagdish Ramakrishnan, Katie Szeto, Kuang Xu에서 가져온 것입니다. 이 팟캐스트는 소유자의 재산이며 Listen Notes, Inc.와 제휴하거나 보증하지 않습니다.
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