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15
Math.TechQA.Club
2026-04-10 10:21:02
118
Views
Strong law of Large numbers exercise
Published on
10 Apr 2026 - 10:21
#statistics
1k
Views
MLE and method of moments estimator (example)
Published on
14 Apr 2026 - 0:58
#statistics
#probability-distributions
#maximum-likelihood
155
Views
Show that $E|X-Y| = \int_{\mathbb{R}}[F(t) + G(t) - 2H(t,t)]dt $
Published on
15 Apr 2026 - 23:02
#probability
#probability-theory
#statistics
#probability-distributions
#expected-value
43
Views
MLE of a certain probablity
Published on
16 Apr 2026 - 8:07
#probability
#statistics
#maximum-likelihood
170
Views
Probability of a sequence of thirty heads when flipping a fair coin fifty times?
Published on
11 Apr 2026 - 17:29
#probability
#combinatorics
#statistics
219
Views
How to prove that maximum occurs at x=n/2 when n is even
Published on
13 Apr 2026 - 19:51
#statistics
#maxima-minima
#binomial-distribution
44
Views
Deriving the expression for $\mathbb{E}|X-Y|^{\alpha}$, $\alpha > 1$, using CDF's $F,G$ and joint $H$.
Published on
16 Apr 2026 - 1:44
#probability
#probability-theory
#statistics
#expected-value
448
Views
How do you calculate the mean value and autocorrelation function of a time series of data points?
Published on
10 Apr 2026 - 23:38
#statistics
#definition
87
Views
Expectations and Variance of linear regression model
Published on
11 Apr 2026 - 23:11
#statistics
#linear-regression
34
Views
Mean & Variance in Distribution
Published on
12 Apr 2026 - 7:23
#statistics
277
Views
Domain of joint density function
Published on
13 Apr 2026 - 4:01
#probability
#statistics
#probability-distributions
#density-function
27
Views
Estimate based on data
Published on
16 Apr 2026 - 4:12
#statistics
#discrete-mathematics
123
Views
Adding exponential waiting time
Published on
25 Mar 2026 - 11:08
#statistics
#exponential-distribution
714
Views
Cumulative distribution function to probability density
Published on
09 Apr 2026 - 4:27
#probability
#probability-theory
#statistics
#probability-distributions
#cumulants
47
Views
Let $X\in\mathcal{M}_{n\times p}(\mathbb{R})$ with rank(X)=k and let $\epsilon \sim N(0,I_p)$ be a vector with i.i.d. Gaussian components.
Published on
17 Apr 2026 - 9:33
#linear-algebra
#statistics
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