Chernoff Bounds for Independent Bernoulli Sums

  • I
  • Thread starter WMDhamnekar
  • Start date
In summary, Chernoff Bounds for Independent Bernoulli Sums are probabilistic inequalities that provide upper and lower bounds for the probability of deviation from expected value. They are important for estimating rare events and analyzing algorithms in computer science and engineering. These bounds are calculated using the moment generating function, and can be applied to non-Bernoulli distributions. However, they are only approximations and may be inaccurate for large systems.
  • #1
WMDhamnekar
MHB
376
28
TL;DR Summary
What is wrong with this proof? Can you notice that? or I am wrong. In my opinion, in the R.H.S. of inequality (3.2), the index of 'e' must be positive if we use the proof. I also want to know how to derive the proof of inequality(3.3)? Author said it is similar to that of (3.2). But I don't understand that.
Chernoffbounds proof.png
 
Physics news on Phys.org
  • #2
I cleared my doubt taking suitable guidelines from other statistician on Internet.
 

Similar threads

  • Set Theory, Logic, Probability, Statistics
Replies
0
Views
1K
  • Set Theory, Logic, Probability, Statistics
Replies
1
Views
1K
  • Set Theory, Logic, Probability, Statistics
Replies
1
Views
1K
  • Set Theory, Logic, Probability, Statistics
2
Replies
39
Views
3K
  • Set Theory, Logic, Probability, Statistics
Replies
1
Views
842
  • Set Theory, Logic, Probability, Statistics
Replies
3
Views
2K
  • Set Theory, Logic, Probability, Statistics
Replies
1
Views
2K
  • Set Theory, Logic, Probability, Statistics
Replies
2
Views
407
  • Set Theory, Logic, Probability, Statistics
Replies
2
Views
2K
  • Set Theory, Logic, Probability, Statistics
Replies
17
Views
1K
Back
Top