Great minds discuss ideas, average minds discuss events, small minds discuss people. { Admiral Hyman Rickover, father of the US nuclear navy }

Somebody has classified people into three categories:
into the uneducated, who see only disorder;
into the half-educated, who see and follow the rules;
and into the educated, who see and appreciate the exceptions.
The computer clearly belongs to the category of half-educated.
{ Heinz Zemanek, IFIP President 1971-1974 }

Wer heutzutage den Mut hat um sich unpopulaer zu machen,
verdient nur dafuer Beifall { Leonardo Sciascia }

Nur die duemmsten Kaelber waehlen seine Metzger selber.

Jan Hajek's IT & TI

NB! This page is not part of the book Mathematical Theory of Information, but related to it.

Ideal Decision Making & Money Making (much on Kelly criterion/formula/rule)
New sharper continuous information inequalities applied to pdf estimation
BestTest = 100% systematic exhaustive tester of algorithms
Two expected causal information measures
Kalman filter made crystal clear - full of insights inside + algorithms + tiny programs
A comparative microstudy of 3-valued logics
Critical prior interval CPI for odds ratio OR works also for risk ratio RR , and for likelihood ratios LR+ , LR-
(In)commensurable pairs of generative & preventive relative differences as measures of causation
Concise causal insights enhanced
Causal insights inside, plus new causal hindrance factor versus P.W. Cheng's preventive causal power
Causal INSIGHTS INSIDE for data mining to fight data tsunami and confounding
Renyi
FlashHash
Approver
- with viewgraphs, datalgorithms, P/S-graphs

Note. All of the above (except the graphs) are plain text files designed for easy viewing and printing. When you have finished reading one of the linked essays, please click your browser's Back button to return to this page.

Jan Hajek's IT & TI

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