probability pleasures - as simple as possible
DESCRIPTION
Probability pleasures - as simple as possible probability paradoxes (c) Igor KleinerTRANSCRIPT
![Page 2: Probability pleasures - as simple as possible](https://reader033.vdocuments.us/reader033/viewer/2022060121/5593f4b51a28ab49278b4750/html5/thumbnails/2.jpg)
Multifaceted probability
![Page 3: Probability pleasures - as simple as possible](https://reader033.vdocuments.us/reader033/viewer/2022060121/5593f4b51a28ab49278b4750/html5/thumbnails/3.jpg)
Big data, probability, image processing – my thesis
![Page 4: Probability pleasures - as simple as possible](https://reader033.vdocuments.us/reader033/viewer/2022060121/5593f4b51a28ab49278b4750/html5/thumbnails/4.jpg)
Probability – “bad side”
![Page 5: Probability pleasures - as simple as possible](https://reader033.vdocuments.us/reader033/viewer/2022060121/5593f4b51a28ab49278b4750/html5/thumbnails/5.jpg)
Easy question – unknown solutionRandom walk on chessboard
![Page 6: Probability pleasures - as simple as possible](https://reader033.vdocuments.us/reader033/viewer/2022060121/5593f4b51a28ab49278b4750/html5/thumbnails/6.jpg)
Easy question – unknown solutionRandom walk on chessboard - possible
solution
![Page 7: Probability pleasures - as simple as possible](https://reader033.vdocuments.us/reader033/viewer/2022060121/5593f4b51a28ab49278b4750/html5/thumbnails/7.jpg)
Easy question – known solutionSocks issue
![Page 8: Probability pleasures - as simple as possible](https://reader033.vdocuments.us/reader033/viewer/2022060121/5593f4b51a28ab49278b4750/html5/thumbnails/8.jpg)
Easy question – known solutionSocks issue
solution
![Page 9: Probability pleasures - as simple as possible](https://reader033.vdocuments.us/reader033/viewer/2022060121/5593f4b51a28ab49278b4750/html5/thumbnails/9.jpg)
Easy issue. Known results. Man destiny.“COT DEATH”
![Page 10: Probability pleasures - as simple as possible](https://reader033.vdocuments.us/reader033/viewer/2022060121/5593f4b51a28ab49278b4750/html5/thumbnails/10.jpg)
![Page 11: Probability pleasures - as simple as possible](https://reader033.vdocuments.us/reader033/viewer/2022060121/5593f4b51a28ab49278b4750/html5/thumbnails/11.jpg)
![Page 12: Probability pleasures - as simple as possible](https://reader033.vdocuments.us/reader033/viewer/2022060121/5593f4b51a28ab49278b4750/html5/thumbnails/12.jpg)
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.
![Page 13: Probability pleasures - as simple as possible](https://reader033.vdocuments.us/reader033/viewer/2022060121/5593f4b51a28ab49278b4750/html5/thumbnails/13.jpg)
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.
![Page 14: Probability pleasures - as simple as possible](https://reader033.vdocuments.us/reader033/viewer/2022060121/5593f4b51a28ab49278b4750/html5/thumbnails/14.jpg)
![Page 15: Probability pleasures - as simple as possible](https://reader033.vdocuments.us/reader033/viewer/2022060121/5593f4b51a28ab49278b4750/html5/thumbnails/15.jpg)
![Page 16: Probability pleasures - as simple as possible](https://reader033.vdocuments.us/reader033/viewer/2022060121/5593f4b51a28ab49278b4750/html5/thumbnails/16.jpg)
Advertisement - links
![Page 17: Probability pleasures - as simple as possible](https://reader033.vdocuments.us/reader033/viewer/2022060121/5593f4b51a28ab49278b4750/html5/thumbnails/17.jpg)
![Page 18: Probability pleasures - as simple as possible](https://reader033.vdocuments.us/reader033/viewer/2022060121/5593f4b51a28ab49278b4750/html5/thumbnails/18.jpg)
10.12 – M.A. seminar
Probabilistic methods in computer science
Analytic combinatorics
Big data