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Lecture 15: Linear Models With Normal Noise (M-I-T)

(8 Lectures Available)

S# Lecture Course Institute Instructor Discipline
1
  • L15.1 Lecture Overview (M-I-T)
Lecture 15: Linear Models With Normal Noise (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
2
  • L15.2 Recognizing Normal PDFs (M-I-T)
Lecture 15: Linear Models With Normal Noise (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
3
  • L15.3 Estimating a Normal Random Variable in the Presence of Additive Noise (M-I-T)
Lecture 15: Linear Models With Normal Noise (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
4
  • L15.4 The Case of Multiple Observations (M-I-T)
Lecture 15: Linear Models With Normal Noise (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
5
  • L15.5 The Mean Squared Error (M-I-T)
Lecture 15: Linear Models With Normal Noise (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
6
  • L15.6 Multiple Parameters; Trajectory Estimation (M-I-T)
Lecture 15: Linear Models With Normal Noise (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
7
  • L15.7 Linear Normal Models (M-I-T)
Lecture 15: Linear Models With Normal Noise (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
8
  • L15.8 Trajectory Estimation Illustration (M-I-T)
Lecture 15: Linear Models With Normal Noise (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences

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