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Calculate Variance from Dirichlet-like Distribution Empirically

I'm interested in the proportion of time that a sensor is in a particular state. The sensor tells me the amount of time that it's in each state, which I will denote by $X = \{ X_1, X_2, X_3\}$. I ...
user13317's user avatar
  • 737
1 vote
0 answers
86 views

How to find $\mathbb{E} \left[\frac{\bar{\mu}}{\bar{\sigma}^2}\right]$?

I asked the same question on math stacks: MathStacks:, and some user suggest to ask it here for better insight. So this question has found interest in many research problems, but there have been no ...
coolname11's user avatar
1 vote
0 answers
32 views

Finding variance from normal distribution

Suppose $Z_1$ and $Z2$ ~$N(0,1)$ Let $X_1=2Z_1$ and $X_2=X_1+\frac{\sqrt{3}}{2}Z_2$ Let $Y_1=\sqrt{3}Z_1+Y_2$ and $Y_2=Z_2$ I understand I have to show the mean and variance for $X_1$ and $X_2$ should ...
Kevin Choi's user avatar
1 vote
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130 views

Variance of a vector-valued random variable along a unit vector

Let $X$ be a vector-valued random variable with variance $\mathbb{V}[X] < \infty$. How is the variance of $X$ along a unit-vector $\hat{v}$ defined? Can we say that in general it is $\hat{v}^\top \...
Euler_Salter's user avatar
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1 vote
0 answers
52 views

Correlation Based Models vs Covariance Based Models

I am trying to better understand why some models are "covariance based" vs. why some other models are "correlation based". 1) For example, a Multivariate Normal Distribution ...
stats_noob's user avatar
1 vote
0 answers
145 views

Dirichlet distribution parameters from known variances

Let's assume, I know the variances of Dirichlet distribution parameters. Let these variances be: $Var[X_1], ..., Var[X_n]$. Is there a analytical solution to derive the parameter value alpha_i given ...
Aku-Ville Lehtimäki's user avatar
1 vote
0 answers
88 views

What are meaningful ways to interpret Monte Carlo-simulated non-normal data?

My question relates to Confidence Interval (CI) calculation of Monte Carlo-simulated non-normal data As answers and comments to that question show the confidence interval for the given distribution ...
ye-ti-800's user avatar
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0 votes
1 answer
101 views

Variance of Multimodal Generalized von Mises Distribution?

How do you calculate the variance of a Multimodal Generalized von Mises (MGvM) distribution? Given its complexity with multiple modes and asymmetry, I'm looking for: Any formula or method to calculate ...
Alireza's user avatar
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0 votes
0 answers
178 views

Calculating the Standard Deviation of Estimates from a Uniform Distribution

I was looking at this question on Sufficient Statistics and the Uniform Distribution: https://math.stackexchange.com/questions/1359183/why-should-we-care-about-sufficient-statistics In this question, ...
stats_noob's user avatar
0 votes
1 answer
181 views

Variance of scalar function of 2 random variables

Suppose I have a scalar function $g(X,Y)$, where $X$ and $Y$ are jointly distributed with pdf $p(x,y)$. I think the expected value of $g$ is given by $$ \mathbb{E}[g] = \int_{-\infty}^\infty \int_{-\...
acorso's user avatar
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MGF of sample variance

Let $$s^2=\sum\limits_{i=1}^n\frac{(X_i-\bar{X})^2}{n-1}$$ be the sample variance of a random sample of size $n$ from $N(\mu,\sigma^2)$. I am trying to derive the mgf of $s^2$ but have probably made a ...
user76521's user avatar