dc.contributor.author |
Bickel, Peter John |
|
dc.date.accessioned |
2021-01-28T09:21:29Z |
|
dc.date.available |
2021-01-28T09:21:29Z |
|
dc.date.issued |
2021-01-27 |
|
dc.identifier.uri |
http://hdl.handle.net/10263/7104 |
|
dc.language.iso |
en |
en_US |
dc.publisher |
Indian Statistical Institute |
en_US |
dc.relation.ispartofseries |
Fifth-Fifth Convocation Lecture;55b |
|
dc.subject |
Indian Statistical Institute |
en_US |
dc.subject |
ISI |
en_US |
dc.subject |
Convocation Lecture |
en_US |
dc.subject |
University of California, Berkeley |
en_US |
dc.subject |
Statistics-History |
en_US |
dc.subject |
Statistics-Mathematical Science |
en_US |
dc.subject |
Statistics-Data Science |
en_US |
dc.subject |
Probability Applications |
en_US |
dc.subject |
Fisher-Population Models |
en_US |
dc.subject |
Fisher-Likelihood |
en_US |
dc.subject |
Parametric Model |
en_US |
dc.subject |
Non-parametric Model |
en_US |
dc.subject |
Probability Distributions |
en_US |
dc.subject |
Asymptotic Methods |
en_US |
dc.subject |
Computer |
en_US |
dc.subject |
Sensors |
en_US |
dc.subject |
Complex Data Structure |
en_US |
dc.subject |
Prediction |
en_US |
dc.subject |
Causation |
en_US |
dc.subject |
Algorithm Convergence |
en_US |
dc.subject |
Machine Learning |
en_US |
dc.subject |
Artificial Intelligence |
en_US |
dc.subject |
Smalish Data Sets |
en_US |
dc.subject |
Randomness |
en_US |
dc.subject |
Robustness |
en_US |
dc.title |
Statistics Through My Eyes |
en_US |
dc.type |
Other |
en_US |