LEJ4Learning

1. Introduction to Probability and Stochastic Processe
2. Set Theory
3. Relations, Functions, Probability
4. Probability; Experiments: Repeated, Depe…
5. Joint Probability, Conditional Probabili…
6. Combinatronics, Birthday Problem, Bayes …
7. Bayes Rule: Application, Partitioned Foo…
8. Trains on a Junction, A local bus stop, …
9. Equally likely outcomes, Random variable…
10. CDF of Poisson PMF, Joint Distribution: …
11. Conditionl Distribution, Conditional PM…
12. Transformation of RV’s, Conditional Expe…
13. Continuous Random Variable, Probability …
14. CDF of a Continuous RV, CDF PDF of Nozzl…
15. Failure of TV Set, Gaussian RV
16. Mean of Transformed RV, Height Distribut…
17. Scaling of Gaussian RV, Standard Gaussia…
18. Pair of RVs, Buffon’s Needle, Exponentia…
19. Exponential RV Pair, Pair of Dependent R…
20. Correlation & Covariance, Correlated Gau…
21. Function of two RVs, Evaluation of Fz(Z)…
22. Function of two RVs, Evaluation of Fz(Z)…
23. Multiple derived RVs, Probability Comput…
24. Pair of derived RVs
25. Direct computation of derived CDF
26. Non-invertible Transformations
27. Moments of U and V from f(x, y)
28. Expectation of transformed random variab
29. Vector RVs, Transforming Vector RVs
30. PDF of Z = X+X ? 2X, Characteristic Func…
31. Convergence of Sequence, Convergence of …
32. Norm of Vectors and Function, Convergenc…
33. Markov Chains
34. Markov Chains, Total Probability
35. Markov Chains
36. Markov Chains, A few Definitions
37. Markov Chains
38. Markov Chains
39. Markov Chains
40. Markov Chains (Cont.)
41. Markov Chains (Cont.).
42. Markov Chains (Cont.)..
43. Markov Chains (Cont.)…
44. Markov Chains (Cont.)….
45. Markov Chains (Cont.)…..

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