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Questions tagged [mathematical-statistics]

Mathematical theory of statistics, concerned with formal definitions and general results.

1 vote
1 answer
27 views

Pearson chi square and correlation

My data are ordinal Pearson chi squared test value is 4.664 And asymp sig is 0.97 so the data are independent However pearson's R =-0.309 And the approx sig=0.037 Can they be independent and ...
Simona ysf's user avatar
0 votes
0 answers
7 views

How to find the marginal distribution of $p_k$ in multinominal regression

Given a multinominal regression the probability of a certain class $k$ is a function of predictors. How would we find analytically the marginal probability of $p_k$ given we know the distribution of ${...
Vefeagins's user avatar
  • 548
0 votes
1 answer
27 views

Recreate `lm` Categorical Regression

Consider the code, which contains regression using lm of two categorical and one continuous variables without interaction using data from the correct model: ...
温泽海's user avatar
  • 456
2 votes
2 answers
61 views

Is considering a specific distribution necessary before computing an average?

Many times, I compute averages of variables without considering distributions at all, and I use those computed averages to represent measures of variables in my data without mentioning specific ...
xabzakabecd's user avatar
  • 3,525
1 vote
1 answer
21 views

Why the contribution of a categorical value in SHAP trained on Catboost differs from observation to observation

Context Let's imagine I am interested in predicting sepal length in the iris dataset using catboost. Objective My main objective is understanding the effect of each categorical value for ...
Carles S's user avatar
  • 138
0 votes
1 answer
12 views

Perfusion Analysis Counts as Survival Analysis?

In perfusion analysis, the patient is injected with some dose of medicine. A machine detects, over time, the dose of medicine in the patient's body. In other words, the data for each patient is time ...
温泽海's user avatar
  • 456
1 vote
0 answers
11 views

Combine back- and forecast errors for cross-validation

Suppose I have a procedure to predict the timeseries value $Y_{t+k}$, where $t$ is the current period and $k \geq 1, 2, \dots$. Now, I want to estimate the procedure's out-of-sample performance. The ...
bodhi's user avatar
  • 21
0 votes
0 answers
40 views

Consistency of a test - convergence of quantile

I have given statistical model $((0,1)^n, \mathcal{B}(0,1)^n,\mathcal{P}_n)$, where $\mathcal{P}_n=\{ P_{\theta}^{\otimes n} \ |\ \theta \in (0, \infty) \}$ and each $P_{\theta}$ has density function $...
tychonovs-scholar's user avatar
0 votes
0 answers
19 views

Nonhomogenous Geometric Distribution Approach

I am trying to solve this problem by considering a geometric distribution with unequal probabilities. First, I am using the Irwin-Hall Distribution to deduce that for n independent uniform random ...
Hamzah10's user avatar
0 votes
0 answers
17 views

How to estimate the CI of RERI [closed]

This thread is involved in statistical tech to measure interactions. The RERI is short for "relative excess risk due to interaction". I know it's quite a bit difficult to understand but, to ...
Tom Hsiung's user avatar
1 vote
1 answer
33 views
+50

How to disentangle effects of components in system?

I have a system where one property (delay) depends on its components, a valve $V$ and the piping $P$ in a hydraulic system: $d = f(V, P)$ I have reference measurements with one type of valve and ...
Ken Grimes's user avatar
0 votes
1 answer
45 views

Power of One Sided t-test

Let $X_1, \ldots, X_n$ be a sample from $N(\mu, \sigma^2)$ for unknown $\mu \in \mathbb{R}$ and unknown $\sigma > 0$. Fix $\mu_0 \in \mathbb{R}$. The one-sided hypothesis is $H_0: \mu \leqslant \...
温泽海's user avatar
  • 456
0 votes
0 answers
26 views

Proof of Strong consistency of Beta posterior distribution

Suppose that we have random variable $X_{1}, X_{2}, ..., X_{n} \sim^{iid} \text{Bernoulli}(p_{0})$ with $p_{0}$ true unknown probability in $[0,1]$. Now, I want to implement Bayesian machinery to ...
Fiodor1234's user avatar
  • 2,286
0 votes
0 answers
14 views

An example problem of converting a maximum likelihood problem into a restricted maximum likelihood problem

I have a question about this derivation. What is an example value of the actual matrix $A'$ such that $A'X=0$, $A'A=I$, and $\frac{1}{n}\Sigma((A'Y_{i}-mean(A'Y))^{2}=\frac{1}{(n-1)}\Sigma((Y_{i}-...
A Friendly Fish's user avatar
-2 votes
0 answers
36 views

Why do we assume samples have the same variance when deriving standard error? [closed]

In all derivations I've seen of the standard error formula $\sigma/\sqrt{n}$, it is assumed all the samples in the sampling distribution have the same variance ($\sigma^2$). Why is it assumed they all ...
statataka's user avatar

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