Learn · Information Theory

Lecture 31 of 70Properties of measures of Information-1 (Unit 6)

Chain rules

Prof. Himanshu Tyagi · IISc Bangalore

Credits and licence

From
Information Theory, IISc Bangalore (at NPTEL)
Licence
CC BY-NC-SA, as NPTEL states it. Non-commercial use only.
Attribution
NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
Who can watch
Tweens profiles and older. How courses are placed

All the lectures

  1. What is information? Video
  2. How to model uncertainty? Video
  3. Basic concepts of probability Video
  4. Estimates of random variables Video
  5. Limit theorems Video
  6. Review Video
  7. Source model Video
  8. Motivating examples Video
  9. A compression problem Video
  10. Shannon entropy Video
  11. Random hash Video
  12. Review 2 Video
  13. Uncertainty and randomness Video
  14. Total variation distance Video
  15. Generating almost random bits Video
  16. Generating samples from a distribution using uniform randomness Video
  17. Typical sets and entropy Video
  18. Review 3 Video
  19. Hypothesis testing and estimation Video
  20. Examples. Video
  21. The log-likelihood ratio test Video
  22. Kullback-Leibler divergence and Stein's lemma Video
  23. Properties of KL divergence Video
  24. Review 4 Video
  25. Information per coin-toss Video
  26. Multiple hypothesis testing Video
  27. Error analysis of multiple hypothesis testing Video
  28. Mutual information Video
  29. Fano's inequality Video
  30. Measures of information Video
  31. Chain rules Video
  32. Chain rules Video
  33. Shape of measures of information Video
  34. Data processing inequality Video
  35. Midyear Review Video
  36. Proof of Fano's inequality Video
  37. Capacity as information radius Video
  38. Proof of Pinsker's inequality Video
  39. Continuity of entropy Video
  40. Lower bound for compression Video
  41. Lower bound for hypothesis testing Video
  42. Review 7 Video
  43. Lower bound for random number generation Video
  44. Strong converse Video
  45. Lower bound for minmax statistical estimation Video
  46. Variable length source codes Video
  47. Review 8 Video
  48. Kraft's inequality Video
  49. Shannon code Video
  50. Huffman code Video
  51. Minmax Redundancy Video
  52. Type based universal compression Video
  53. Review 9 Video
  54. Arithmetic code Video
  55. Online probability assignment Video
  56. Compression of databases: A scheme Video
  57. Compression of databases: A lower bound Video
  58. Repetition code Video
  59. Channel capacity Video
  60. Sphere packing bound for BSC Video
  61. Random coding bound for BSC Video
  62. Random coding bound for general channel Video
  63. Review 11 Video
  64. Converse proof for channel coding theorem Video
  65. Additive Gaussian Noise channel Video
  66. Mutual information and differential entropy Video
  67. Channel coding theorem for Gaussan channel Video
  68. Parallel channels and water-filling Video
  69. Live Session 23-09-2020 Video
  70. Live Session 07-10-2020 Video