Probability, Statistics and Stochastic Processes, Jul-Nov 2022
If you want to register for this course, you will need to contact the Academic section. The instructors have no role/say in enrolling students for the class.
Instructors and Branches
Search for 2022_pss on google groups via your smail account
Axiomatic definition of probability, Independent Events, Baye's theorem, Discrete and continuous random variables, Distribution, Functions of random variables, Expectation, Variance, Correlation coefficient, Chebyshev’s inequality, Markov inequality, Conditional expectations, Standard discrete and continuous distributions (Binomial, Poisson, Geometric, Exponential, Normal, Chi-square), Moment generating function, Sums of random variables, Law of large numbers, Central limit theorem, Normal approximation to Binomial.
Sampling distribution, Estimation of parameters, Maximum likelihood estimates, Confidence intervals, Student’s t-distribution, Testing hypothesis, Goodness of fit.
Discrete random process, Stationary random process, Bernoulli process, Poisson process, Markov chain.
- Introduction to Probability, by Dimitri Bertsekas and John N. Tsitsiklis (referred as BT in online lectures)
Other Reference Textbooks
- Introductory Probability and Statistical Applications, by Paul L. Meyer (referred as PLM in lectures)
- John E. Freund's Mathematical Statistics with Applications, by Irwin Miller and Marylees Miller (referred as M\(^2\) in lectures)
- Fundamentals of Applied Probability and Random Processes, by Oliver C. Ibe (referred as Ibe in lectures)
Date and time of exam, check institute calendar.
|Quiz - I
||Quiz - II
Problem Set 1
Problem Set 1 solution
Problem Set 2
Problem Set 2 solution
Problem Set 3
Problem Set 3 solution
Problem set 4
Problem set 4 solution
Problem set 5
Problem set 5 solution
Problem set 6
Problem set 6 solution part I
Problem set 6 solution part II
Problem set 7
Problem set 7 solution
Problem set 8
Problem set 8 solution
Other "random" stuff
George Burns on TV being interviewed on his 100th birthday: George Burns was puffing on a cigar and the interviewer made a comment about the negative correlation between longevity and smoking.
George Burns: "Twenty years ago my doctor told me that these cigars were going to kill me in the next five years with a probability of 99%"
Interviewer: "What does he say now?"
George Burns: "I don't know. He's dead"