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15
Math.TechQA.Club
2013-03-05 01:48:16
92
Views
Infinite Bias in a Maximum Likelihood Estimator
Published on
05 Mar 2013 - 1:48
#information-theory
496
Views
Information-theoretic aspects of mathematical systems?
Published on
11 Mar 2013 - 1:57
#abstract-algebra
#combinatorics
#group-theory
#information-theory
2.7k
Views
What is the least amount of questions to find out the number that a person is thinking between 1 to 1000 when they are allowed to lie at most once
Published on
13 Mar 2013 - 9:02
#puzzle
#information-theory
55.7k
Views
Intuitive explanation of entropy
Published on
31 Mar 2026 - 16:13
#information-theory
#entropy
274
Views
Amount of information a hidden state can convey (HMM)
Published on
27 Mar 2026 - 12:08
#mathematical-modeling
#markov-process
#information-theory
#machine-learning
#bayesian-network
253
Views
Does any error correction code still work in such situation?
Published on
02 Apr 2026 - 17:02
#information-theory
#coding-theory
57
Views
Mutual Information for Composite Random Variable
Published on
31 Mar 2026 - 16:10
#information-theory
#entropy
173
Views
Confusion regarding the non-negativity of the relative entropy and how can $H(X|Y) \le H(X)$
Published on
31 Mar 2026 - 17:51
#probability
#information-theory
#entropy
119
Views
Simplifying expectation of square of sum
Published on
03 Aug 2020 - 9:01
#probability
#statistics
#information-theory
65
Views
What is the relation between the two definitions of typical set
Published on
03 Aug 2020 - 14:07
#probability-theory
#statistics
#asymptotics
#information-theory
180
Views
What is a "normalized likelihood" in syndrome coding?
Published on
08 Apr 2026 - 4:57
#probability
#information-theory
#coding-theory
#parameter-estimation
65
Views
Probability involved in information theory.
Published on
05 Aug 2020 - 6:24
#probability
#information-theory
74
Views
Matrix notation for entropy
Published on
31 Mar 2026 - 17:43
#matrices
#notation
#vectors
#information-theory
#entropy
77
Views
If $2^d\,\mathbb{P}(\text{Bin}(n,\frac{1}{2})<k)<1$, there is a binary linear code of dimension $d$, length $n$ and minimum distance at least $k$.
Published on
26 Mar 2026 - 21:27
#probability
#combinatorics
#information-theory
#extremal-combinatorics
#probabilistic-method
61
Views
How good function approximation can be achieved with N bits?
Published on
29 Mar 2026 - 19:08
#information-theory
#approximation-theory
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