Playlist Duration

Playlist · NPTEL IIT Delhi

Introduction to Probability Theory and Stochastic Processes

by NPTEL IIT Delhi · 93 videos

Total watch time

1d 6h 7m

at 1× speed · exactly 1 day, 6 hours, 6 minutes, 38 seconds at 1×

At an hour a day you'd finish in 31 days

The shape of the course

93 videos in blocks of 10 · each column is a block's total, to scale

3h 53m
5h 2m
3h
2h 12m
2h 3m
2h 30m
2h 8m
3h 37m
4h 23m
1h 18m

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Videos (93)

1d 6h 7m in total · tick what you've watched

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Videos to
Watched
1 Intro Video 1:40 2018-04-24
2 Random experiment, sample space, axioms of probability, probability space. 33:04 2018-07-16
3 Random experiment, sample space, axioms of probability, probability space. (Cont...) 32:29 2018-07-16
4 Random experiment, sample space, axioms of probability, probability space. (Contd...) 13:06 2018-07-16
5 Conditional probability, independence of events. 20:32 2018-07-16
6 Multiplication rule, total probability rule, Bayes's theorem. 17:13 2018-07-16
7 Definition of Random Variable, Cumulative Distribution Function 43:40 2018-07-16
8 Definition of Random Variable, Cumulative Distribution Function (Continued 1) 29:46 2018-07-16
9 Definition of Random Variable, Cumulative Distribution Function (Continued 2) 19:22 2018-07-16
10 Type of Random Variables, Probability Mass Function, Probability Density Function (continued 1) 22:04 2018-07-16
11 Type of Random Variables, Probability Mass Function, Probability Density Function 33:04 2018-07-16
12 Distribution of Function of Random Variables 40:03 2018-07-16
13 Mean and Variance 28:37 2018-07-30
14 Common Discrete Distributions 29:13 2018-08-10
15 Common Discrete Distributions Continued 31:42 2018-08-10
16 Common Continuous Distributions 27:28 2018-08-10
17 Common Continuous Distributions Continued 32:12 2018-08-10
18 Applications of Random Variable 18:07 2018-08-10
19 Applications of Random Variable Continued 30:18 2018-08-10
20 Random vector and joint distribution 30:59 2018-08-10
21 Joint probability mass function 21:33 2018-08-10
22 Independent random variables 27:50 2018-08-10
23 Independent random variables Continued 15:12 2018-08-10
24 Joint probability density function 31:57 2018-08-10
25 mod12lec92 18:08 2018-08-10
26 mod12lec91 9:32 2018-08-10
27 mod12lec90 16:25 2018-08-10
28 mod12lec89 12:00 2018-08-10
29 mod12lec88 11:16 2018-08-10
30 mod12lec87 16:06 2018-08-10
31 mod12lec86 13:05 2018-08-10
32 mod12lec85 15:02 2018-08-10
33 mod11lec84 13:33 2018-08-10
34 mod11lec83 11:44 2018-08-10
35 mod11lec82 14:42 2018-08-10
36 mod11lec81 13:44 2018-08-10
37 mod11lec80 14:55 2018-08-10
38 mod11lec79 11:12 2018-08-10
39 mod11lec78 11:11 2018-08-10
40 mod11lec77 13:05 2018-08-10
41 mod11lec76 11:41 2018-08-10
42 mod11lec75 13:03 2018-08-10
43 mod11lec74 11:00 2018-08-10
44 mod11lec73 16:44 2018-08-10
45 mod10lec72 6:06 2018-08-10
46 mod10lec71 13:49 2018-08-10
47 mod10lec70 14:22 2018-08-10
48 mod10lec69 8:45 2018-08-10
49 mod10lec68 14:02 2018-08-10
50 mod10lec67 13:14 2018-08-10
51 mod10lec66 20:06 2018-08-10
52 mod10lec65 16:14 2018-08-10
53 mod10lec64 18:51 2018-08-10
54 mod10lec63 13:02 2018-08-10
55 mod10lec62 11:18 2018-08-10
56 mod10lec61 17:52 2018-08-10
57 mod10lec60 12:42 2018-08-10
58 Examples of Stationary Processes Continued 12:57 2018-08-10
59 Wide Sense Stationary Process and Examples 12:37 2018-08-10
60 Strict Sense Stationary Process 14:42 2018-08-10
61 Time Series and Related Definitions 12:15 2018-08-10
62 Simple Random Walk 16:38 2018-08-10
63 Poisson Process (Continued) 12:10 2018-08-10
64 Poisson Process 13:58 2018-08-10
65 Bernoulli Process 11:53 2018-08-10
66 Examples Of Stochastic Process (Continued) 10:38 2018-08-10
67 Examples of Stochastic Process 9:55 2018-08-10
68 Classification of Stochastic Processes 15:24 2018-08-10
69 Definition of a Stochastic Process 12:44 2018-08-10
70 Motivation for Stochastic Processes 12:20 2018-08-10
71 Central Limit Theorem (Continued) 16:53 2018-08-10
72 Central Limit Theorem 30:07 2018-08-10
73 Law of Large Numbers 26:31 2018-08-10
74 Mode of Convergence (Continued) 23:34 2018-08-10
75 Modes of Convergence 29:12 2018-08-10
76 Conditional Expectation continued. 24:46 2018-08-10
77 Conditional Expectation 21:38 2018-08-10
78 Correlation coefficient 12:50 2018-08-10
79 Probability generating function and Moment generating function 16:06 2018-08-10
80 Multivariate Normal distribution 15:27 2018-08-10
81 Variance Covariance matrix 25:12 2018-08-10
82 Moments and Covariance 30:05 2018-08-10
83 Random sum 21:39 2018-08-10
84 Conditional distributions 43:03 2018-08-10
85 Order statistics 28:36 2018-08-10
86 Some important results 7:37 2018-08-10
87 Functions of several random variables continued 37:45 2018-08-10
88 Functions of several random variables 29:59 2018-08-10
89 Generating Functions Continued 17:11 2018-07-30
90 Generating Functions 22:22 2018-07-30
91 Higher Order Moments and Moments Inequalities Continued 30:02 2018-07-30
92 Higher Order Moments and Moments Inequalities 25:00 2018-07-30
93 Mean and Variance Continued 23:10 2018-07-30
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