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15
Math.TechQA.Club
2026-05-11 01:01:00
62
Views
Bayesian and frequency tail estimation.
Published on
11 May 2026 - 1:01
#statistics
#statistical-inference
#bayesian
#bayes-theorem
1.4k
Views
Probability of 4 of a kind in 7 cards, if first dealt 2 different cards?
Published on
10 May 2026 - 13:51
#probability
#bayesian
#poker
156
Views
Struggling to understand formal description of Bayesian inference
Published on
09 Apr 2026 - 11:29
#probability-theory
#statistical-inference
#bayesian
53
Views
Increase in conditional probability for contradictory hypotheses in bayesian confirmation theory?
Published on
10 May 2026 - 14:55
#probability
#probability-theory
#bayesian
#philosophy
321
Views
Estimating the parameter lambda in exponential distribution
Published on
11 May 2026 - 1:36
#statistics
#statistical-inference
#machine-learning
#information-theory
#bayesian
81
Views
How to understand Bayesian lasso?
Published on
10 May 2026 - 23:32
#statistics
#machine-learning
#bayesian
72
Views
Find an expression for the posterior distribution of the change-point for this model
Published on
13 Apr 2026 - 23:14
#bayesian
37
Views
Does the independency of $x_i|\theta$ implies the independency of $x_i$?
Published on
11 Apr 2026 - 2:34
#probability
#statistics
#independence
#bayesian
388
Views
Likelihood ratios and Radon-Nikodym derivates.
Published on
12 Apr 2026 - 20:24
#probability-theory
#measure-theory
#bayesian
878
Views
conditional probability table: calculating $P(V = \text{false} \mid L = \text{false})$
Published on
12 Apr 2026 - 4:06
#probability
#bayesian
129
Views
Predictive probability inference
Published on
12 Apr 2026 - 20:52
#probability-theory
#machine-learning
#bayesian
121
Views
Maximum A Posteriori example
Published on
03 May 2026 - 16:22
#markov-chains
#bayesian
#monte-carlo
#bayesian-network
281
Views
Benefit of using GP prior for Deep Neural Networks
Published on
10 May 2026 - 14:56
#bayesian
#neural-networks
31
Views
Full conditional posteriori of Normal.
Published on
17 Apr 2026 - 14:50
#probability
#bayesian
26
Views
MAP is a solution to $L(\theta) = \mathcal{I}[\theta \ne \theta^{*}]$
Published on
11 May 2026 - 1:26
#probability-distributions
#bayesian
#bayes-theorem
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