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5 votes
1 answer
62 views
+100

Questions around modelling arrival process of randomly sized groups

I have the following situation: I'm trying to model groups arriving to some location by some process. I assume the distribution on some interval $T$ is a Gamma-Poisson mixture where $\Lambda \sim ...
BeechAndBirch's user avatar
2 votes
1 answer
100 views
+50

Borel-Cantelli lemma on conditional probabilities

In a probability space $\big( \Omega, \mathcal{F}, P \big)$, suppose $\{E_n\}_{n\in \mathbb{N}} \subseteq \mathcal{F}$ is a sequence of mutually independent events. By Borel-Cantelli Lemma, the ...
Sanae Kochiya's user avatar
3 votes
1 answer
42 views
+50

Asymptotic results for quantile regression uniformly over all quantiles

In the standard quantile regression (QR) framework, we typically consider only one quantile level of interest, say $\tau$. By standard asymptotic results, we obtain the asymptotic normality of $\sqrt{...
Stan's user avatar
  • 108
4 votes
2 answers
64 views
+50

Universal approximation theorem for neural networks reference

On Wikipedia, a nice theorem is given: However, I can not find the stated theorem in the given references. So where is the stated theorem from?
tamtam_'s user avatar
  • 158
0 votes
0 answers
26 views
+50

BN node probabilities calculation

In the paper The use of Bayes and causal modelling in decision making, uncertainty and risk by Norman Fenton and Martin Neil following BN is presented: Quote from ...
Farseer's user avatar
  • 51
0 votes
2 answers
27 views
+150

Combining regression models based on missing data patterns

I have a dataset that contains a few patterns of missingness. For this dataset, I have a training set that is complete and contains all input features. My test set has complete observations for the ...
Squan Schmaan's user avatar