| S# |
Lecture |
Course |
Institute |
Instructor |
Discipline |
| 4376 |
L14.5 Discrete Parameter, Discrete Observation (M-I-T)
|
Lecture 14: Introduction to Bayesian Inference (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4377 |
Lecture 8.3: Mixing (M-I-T)
|
Chapter 8. Neutrino Physics (M-I-T)
|
MIT
|
Prof. Markus Klute
|
Basic and Health Sciences
|
| 4378 |
S13.1 Conditional Expectation Properties (M-I-T)
|
Lecture 13: Conditional Expectation & Variance Revisited; Sum of a Random Number of Independent R.V.s (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4379 |
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
|
| 4380 |
Lecture 8.4: Experimental Study (M-I-T)
|
Chapter 8. Neutrino Physics (M-I-T)
|
MIT
|
Prof. Markus Klute
|
Basic and Health Sciences
|
| 4381 |
L14.6 Discrete Parameter, Continuous Observation (M-I-T)
|
Lecture 14: Introduction to Bayesian Inference (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4382 |
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
|
| 4383 |
Lecture 8.5: Results of Neutrino Oscillation Experiments (M-I-T)
|
Chapter 8. Neutrino Physics (M-I-T)
|
MIT
|
Prof. Markus Klute
|
Basic and Health Sciences
|
| 4384 |
L14.7 Continuous Parameter, Continuous Observation (M-I-T)
|
Lecture 14: Introduction to Bayesian Inference (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4385 |
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
|
| 4386 |
L14.8 Inferring the Unknown Bias of a Coin and the Beta Distribution (M-I-T)
|
Lecture 14: Introduction to Bayesian Inference (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4387 |
Lecture 8.6: Mass Scale and Nature (M-I-T)
|
Chapter 8. Neutrino Physics (M-I-T)
|
MIT
|
Prof. Markus Klute
|
Basic and Health Sciences
|
| 4388 |
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
|
| 4389 |
Lecture 9.1: Introduction (M-I-T)
|
Chapter 9. Nuclear Physics (M-I-T)
|
MIT
|
Prof. Markus Klute
|
Basic and Health Sciences
|
| 4390 |
L14.9 Inferring the Unknown Bias of a Coin—Point Estimates (M-I-T)
|
Lecture 14: Introduction to Bayesian Inference (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4391 |
Lecture 9.2: Binding Energies (M-I-T)
|
Chapter 9. Nuclear Physics (M-I-T)
|
MIT
|
Prof. Markus Klute
|
Basic and Health Sciences
|
| 4392 |
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
|
| 4393 |
S14.1 The Beta Formula (M-I-T)
|
Lecture 14: Introduction to Bayesian Inference (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4394 |
Lecture 9.3: Stability (M-I-T)
|
Chapter 9. Nuclear Physics (M-I-T)
|
MIT
|
Prof. Markus Klute
|
Basic and Health Sciences
|
| 4395 |
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
|
| 4396 |
L16.1 Lecture Overview (M-I-T)
|
Lecture 16: Least Mean Squares (LMS) Estimation (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4397 |
Lecture 9.4: Nuclear Force (M-I-T)
|
Chapter 9. Nuclear Physics (M-I-T)
|
MIT
|
Prof. Markus Klute
|
Basic and Health Sciences
|
| 4398 |
L16.2 LMS Estimation in the Absence of Observations (M-I-T)
|
Lecture 16: Least Mean Squares (LMS) Estimation (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4399 |
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
|
| 4400 |
Lecture 9.5: Shell Model (M-I-T)
|
Chapter 9. Nuclear Physics (M-I-T)
|
MIT
|
Prof. Markus Klute
|
Basic and Health Sciences
|
