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درباره این پادکست 🔗

میانگین طول صدا:
25 minutes
انگلیسی
ایالات متحده آمریکا
76 قسمت
از سال 7 ژوئیه 2015
episodic

جستجوی اپیزودهای گذشته

اپیزودهای قبلی Probabilistic Systems Analysis and Applied Probability (2013) را جستجو کن.

اپیزود قبلی

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.
سلب مسئولیت: پادکست و آثار هنری تعبیه شده در این صفحه متعلق به John Tsitsiklis, Qing He, Jimmy Li, Jagdish Ramakrishnan, Katie Szeto, Kuang Xu است که متعلق به صاحب آن است و به Listen Notes، Inc وابسته یا تایید نشده است.