20140613 
hoelzl 
20140613 
properties of normal distributed random variables (by Sudeep Kanav)

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20121207 
hoelzl 
20121207 
add exponential and uniform distributions

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20121115 
immler 
20121115 
generalized to copy of countable types instead of instantiation of nat for discrete topology

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20121115 
immler 
20121115 
added projective limit;
proof is based on auxiliary type finmap::polish_space

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20121115 
immler 
20121115 
regularity of measures, therefore:
characterization of closure with infimum distance;
characterize of compact sets as totally bounded;
added Diagonal_Subsequence to Library;
introduced (enumerable) topological basis;
rational boxes as basis of ordered euclidean space;
moved some lemmas upwards

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20120423 
hoelzl 
20120423 
reworked Probability theory

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20111201 
hoelzl 
20111201 
do not import examples Probability theory

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20110627 
hoelzl 
20110627 
move conditional expectation to its own theory file

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20110520 
hoelzl 
20110520 
Add restricted borel measure to {0 .. 1}

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20110517 
hoelzl 
20110517 
Add formalization of probabilistic independence for families of sets

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20110329 
hoelzl 
20110329 
rename Probability_Space to Probability_Measure

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20110329 
hoelzl 
20110329 
add infinite product measure

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20110314 
hoelzl 
20110314 
reworked Probability theory: measures are not type restricted to positive extended reals

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20110202 
hoelzl 
20110202 
the measure valuation is again part of the measure_space type, instead of an explicit parameter to the locale;
changed syntax for simple_function, simple_integral, positive_integral, integral and RN_deriv.
introduced binder variants for simple_integral, positive_integral and integral.

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20101201 
hoelzl 
20101201 
Support product spaces on sigma finite measures.
Introduce the almost everywhere quantifier.
Introduce 'morphism' theorems for most constants.
Prove uniqueness of measures on cut stable generators.
Prove uniqueness of the RadonNikodym derivative.
Removed misleading suffix from borel_space and lebesgue_space.
Use product spaces to introduce Fubini on the Lebesgue integral.
Combine Euclidean_Lebesgue and Lebesgue_Measure.
Generalize theorems about mutual information and entropy to arbitrary probability spaces.
Remove simproc mult_log as it does not work with interpretations.
Introduce completion of measure spaces.
Change type of sigma.
Introduce dynkin systems.

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20100407 
hoelzl 
20100407 
Added Information theory and Example: dining cryptographers

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20100316 
hoelzl 
20100316 
Added product measure space

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20100304 
hoelzl 
20100304 
Add Lebesgue integral and probability space.

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20091110 
paulson 
20091110 
Inserted missing theory dependency

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20091109 
wenzelm 
20091109 
eliminated hard tabulators;

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20091028 
paulson 
20091028 
New theory Probability, which contains a development of measure theory

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