ÜBER DIESEN PODCAST 🔗
Probabilistic Systems Analysis and Applied Probability (2013)
Durchschnittliche Audiolänge:
25 minutes
Englisch
Vereinigte Staaten
76 Folgen
seit 7. Juli 2015
episodic
NEUESTE FOLGEN 🔗
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FRÜHERE EPISODEN 🔗
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.
Rechtliche Hinweise: Der auf dieser Seite eingebettete Podcast und das Bildmaterial stammen von John Tsitsiklis, Qing He, Jimmy Li, Jagdish Ramakrishnan, Katie Szeto, Kuang Xu, das Eigentum seines Eigentümers ist und nicht mit Listen Notes, Inc. verbunden ist oder von diesen unterstützt wird.
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