This document discusses various topics related to probability including multifaceted probability, big data, image processing, the "bad side" of probability, easy questions with unknown solutions like random walks on a chessboard and sock pairing problems, and known solutions to issues like cot death. It also mentions Clark's arrest and trial for the murder of her two children who died suddenly as infants, and Professor Roy Meadow testifying that the chance of two children from an affluent family suffering sudden infant death syndrome was 1 in 73 million. The document concludes by listing upcoming seminar topics on probabilistic methods in computer science, analytic combinatorics, and big data.

1. PROBABILITY AND
INTERFERENCE
© IGOR KLEINER 2014
igkleiner@gmail.com

2. Multifaceted probability

3. Big data, probability, image
processing – my thesis

4. Probability – “bad side”

5. Easy question – unknown solution
Random walk on chessboard

6. Easy question – unknown solution
Random walk on chessboard - possible
solution

7. Easy question – known solution
Socks issue

8. Easy question – known solution
Socks issue
solution

9. Easy issue. Known results. Man destiny.
“COT DEATH”

12. Clark's first son died suddenly within a few weeks of his
birth in September 1996, and in December 1998 her
second died in a similar manner.
A month later, she was arrested and subsequently tried
for the murder of both children.

13. Clark's first son died suddenly within a few weeks of his
birth in September 1996, and in December 1998 her
second died in a similar manner.
A month later, she was arrested and subsequently tried
for the murder of both children.
Professor Sir Roy Meadow, who testified that the chance
of two children from an affluent family suffering sudden
infant death syndrome was 1 in 73 million. He had arrived
at this figure by squaring 1 in 8500, as being the
likelihood of a cot death in similar circumstances.

16. Advertisement - links

18. 10.12 – M.A. seminar
 Probabilistic methods in computer science
 Analytic combinatorics
 Big data