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15
Math.TechQA.Club
2016-11-23 18:20:38
874
Views
Understanding the proof of Fano's inequality
Published on
23 Nov 2016 - 18:20
#probability-theory
#information-theory
#entropy
416
Views
Binary symmetric channel: Why is $\sum p(x) H(Y \mid X = x) = \sum p(x) H(p)$?
Published on
24 Nov 2016 - 12:50
#information-theory
#entropy
16.3k
Views
Entropy of the multivariate Gaussian
Published on
26 Mar 2026 - 21:12
#multivariable-calculus
#entropy
#gaussian-integral
554
Views
Entropy function inequality
Published on
26 Nov 2016 - 20:37
#probability
#inequality
#entropy
121
Views
Interpreting a (function of) probability distribution as a random variable?
Published on
04 Dec 2016 - 4:54
#probability
#measure-theory
#statistics
#random-variables
#entropy
720
Views
Fano's Inequality
Published on
07 Dec 2016 - 15:08
#information-theory
#entropy
216
Views
Shannon's proof of entropy power inequality
Published on
08 Dec 2016 - 23:05
#information-theory
#entropy
1.1k
Views
Shannon Entropy
Published on
15 Dec 2016 - 18:41
#cryptography
#entropy
1.6k
Views
What does a `reference measure' mean in the context of defining Shannon entropy?
Published on
16 Dec 2016 - 22:45
#probability
#information-theory
#entropy
82
Views
$I[X,Y] :=- \sum_{x,y} p(x,y)\ln{p(x,y)}$, Show that $I[X, Y] \le I[X]+I[Y]$
Published on
17 Dec 2016 - 9:18
#probability
#information-theory
#entropy
40
Views
Is the topological entropy time-reversal invariant?
Published on
18 Dec 2016 - 13:41
#dynamical-systems
#ergodic-theory
#entropy
3.1k
Views
How do I maximize entropy?
Published on
21 Dec 2016 - 8:04
#probability
#proof-verification
#entropy
43
Views
How to solve this integral in which matrices are involved?
Published on
05 Jan 2017 - 9:03
#matrices
#matrix-calculus
#entropy
300
Views
Proving that $\lim\limits_{k\rightarrow\infty}\frac{1}{qk}\log_2\frac{\binom{qk}{k}}{q^{k-1}}=H(\frac{1}{q})-\frac{log_2q}{q}$
Published on
09 Jan 2017 - 1:10
#limits
#logarithms
#entropy
183
Views
Is the exponential differential Shannon entropy sub-additive?
Published on
11 Jan 2017 - 12:18
#information-theory
#entropy
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