# All Questions

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### Is Analyzing Post-Fire Vegetation Recovery with NDVI Values Considered an Interrupted Time Series Analysis? [closed]

I'm working on a project that involves analyzing the recovery of vegetation after a wildfire using NDVI (Normalized Difference Vegetation Index) values. My goal is to assess how vegetation regenerates ...
13 views

### Box plot: Easiest way to detect anomalies? [closed]

Is box plot an easiest way to detect anomalies making use of the popular way Q1 - 1.5 x IQR for lower bound and Q3 + 1.5 x IQR for upper bound? How often this 1.5 multiple changed by the statisticians....
20 views

### The function step.lmRob() is not working [closed]

I have a linear model, which i analyzed (in R) through: lmrob_object<-lmrob(diff_mg ~ age + bmi + energy + fiber + ca + phos + iron + potas + supp + uni, data = data), where: diff_mg is the DV (...
• 151
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### How to estimate the CI of RERI

It's about the COX model. The paper I read is at Understanding of interaction (subgroup) analysis in clinical trials. The topic of this paper is how to estimate the interactions in clinical studies. I ...
9 views

### Singular values of $A^{-1}$ where $A$ has standard normal entries

Is anything known about behavior of singular values of $A^{-1}$ where $A$ has standard normal entries? Empirically, $k$th singular value appears to decay as $1/k$, is this well-known? colab
• 6,307
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### Fitting a linear state space model with observable and unobservable factors in Python

I want to fit a linear Gaussian state space model that has three latent/unobservable factors and one observable factor. It is given as follows: and the unobserved factors follow an autoregressive ...
• 21
16 views

### Fitting a Multivariate Ornstein-Uhlenbeck Process to Data

I have multivariate time series data (100 dimensions or more) and wish to test the hypothesis that the dynamics follow a Langevin equation. A simple case is the Ornstein-Uhlenbeck process, how can one ...
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• 447
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### How can I use a neural network to choose a subset of features from a dataset? [duplicate]

Suppose my dataset has 256 features. Right now, what I can think of is this: Create an NN model like this: a. create a sequential model b. add a Conv1D layer c. add a flatten layer d. add 1024 dense ...
• 2,195
323 views

### Related low p-values that do not meet statistically significant thresholds

If I were to have multiple related measures, each with "low" p-values that do not quite meet the threshold of significance, could the fact that multiple measures produce a general trend with ...
5 views

### Using scale pos weight and non 0.5 cut off score for a look-alike model

I'm working on a classification problem where I'm trying to identify look-alikes of Class 1 in Class 0. Class 1 and Class 0 are established based on type of product customers use. Basically, Class 1 ...
• 261
497 views

### How should I analyse TV episode popularity while accounting for time?

I have a toy dataset which contains TV episodes, the date they were released and how many streams they have received: episode date streams The Shadow Realm 2024-03-08 5987 The Forbidden Tome 2024-...
• 173
13 views

### Significance of the coefficients of a multinomial mixed regression built with npmlt function

I fitted (using npmlt function) a mixte multinomial regression model which ran without errors. I expected that the outputs of the model include p-values that I didn't find. My need now is that someone ...
1 vote
31 views

### Issue with bootstrap confidence and prediction intervals of mixed effects model predictions

Recently I have asked a question on how to generate meaningful bootstrap confidence and prediction intervals for mixed effect models predictions in R using bootMer ...
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33 views

### Can I utilise time series properties of the data, WITHOUT creating lags?

I am working on a project where the train and test sets are given to me. The data (stock returns) is time series by nature, but the point is that I cannot create lags because that would mean ...
5 views

1 vote
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### Conditional variance of random walk with given start points and ending points

If I have a random walk with 0 drift and I observe that $X_1 = x_1$ and $X_k = x_k$, bu I don't have all the points from $X_i$ for $i \in \{2, ..., k-1 \}$, how do I estimate them and given an CI? I ...
• 215
21 views

### Test/validation set

I've been having a discussion with colleagues and wanted to seek your input. If I'm using holdout and cross-validation to build and test my models. In this process, the training set is used to tune ...
• 101
20 views

### How to derive instant-dependent regret for KL-UCB bandit?

I was reading KL-UCB algorithm for bandit with Bernoulli reward from Bandit Algorithms book by Lattimore (Section 10.2), and the regret provided by the algorithm is instant-dependent and it depends on ...
• 693
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### Using whole training set for choosing model

I am working on a classification problem with what I understand as a big dataset. I have first of all splitted it in my "train" dataset and the "test" one. (Actually I am convinced ...
• 21
10 views

### Bound of operator norm for Gaussian ensemble (wainwright example 6.2)

Consider $W \in \mathbb{R}^{n \times d}$ generated with i.i.d. $N(0,1)$ entries, theorem 6.1 in the Martin Wainwright HDS implies that  \frac{\sigma_\max(W)}{\sqrt{n}} \leq 1 + \delta + \sqrt{\frac{...
• 167
1 vote
10 views

### What standard population to use in my epidemiological study?

I need to standardized my mortality rations. for the period 2000-2022 in one European country. However, I am not use what standard population to use? Is Sagi outdated? In addition, I find this ...
21 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 ...
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