# All Questions

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### Does the following "approach" for integrating over the data space makes sense?

Suppose that we have the following posterior and prior distributions $p(\mu|x,m_{1}(x),s_{1}(x)) = Normal(\mu;m_{1}(x),s_{1}(x))$ and $p(\mu|m_{2},s_{2})$ The $m_{1}(x),s_{1}(x)$ indicate that the ...
• 1,833
28 views

### Are generalized estimating equations estimates affected by endogenous covariates (covariates correlated with model residuals)?

Are generalized estimating equations consistent or still okay with endogenous variables? The authors of GEE say here that their estimates remain consistent without any qualifications about endogeneity ...
13 views

### Back transformation of mixed models

Need your help: I did my thesis about influence of parenteral nutrition on the liver with repeated measurements and missing data (retrospective aspect) so I used mixed models for statistical analysis. ...
59 views

### Logistic regression: What are use cases for logistic regressions where $n \neq 1$, i.e., $n >1$? [duplicate]

NOTE: This question relates to Binomial logistic regression. Thus, the $n$ in the title, refers to the parameter of the Binomial distribution. Most real-world use cases of logistic regression ...
1 vote
39 views

### What is the definition of a non-linear estimator? I heard that ratio of estimators is non-linear

Why don't we consider nonlinear estimators for the parameters of linear regression models? says that LASSO is a non-linear estimator. I think LASSO has a solution via matrix multiplication. I don'...
19 views

### Which regression models are appropriate for (ratios of) two different but dependent counts?

Consider a variable Y which is the ratio of the frequencies of two words/concepty (f,g) in a text: Y = f/g. Since the texts do not have equal length, the denominator when calculating the percentage of ...
23 views

### Parameters in mlemodel in statsmodel

I am trying to run a TVP-VAR on statsmodel for a big data, but seems to run in a problem when I am trying to validate the vector matrix and the vector shape. Particularly, in the start and the update ...
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28 views

### Why does the logistic model for binary logistic regression return the probability that the outcome was in class/category 1?

In the context of simple binary logistic regression (https://en.wikipedia.org/wiki/Logistic_regression) we have $p(x)=\frac{1}{ 1 + e^{\beta x}}$, where $p(x)$ is interpreted as the probability that ...
6 views

### Weighting Ratio Data?

I am conducting an Interrupted Time Series Analysis on ratio data (number of applications refused/total number of applications). Data is modelled using a binomial logit regression (see below): ...
608 views

### Alternatives to scatterplot for visualisation for large samples

I would like to visualise the following scatterplot in a different way that would make it more intuitive. The X axis is trading frequency and describes how many trades were conducted whereas the Yaxis ...
21 views

### Tune threshold in hyperparameter tuning is giving worse results in MLR

First, I tried not tuning the hyperparameters without setting tune.threshold=TRUE. ...
• 101
37 views

### Probability of sample minimum below a certain value

I have a list of 1000 songs with their bpm (beats per minute). If I were to sample 30 songs, is there a way to find the probability that the sample minimum is below a certain value like 100 bpm?
4 views

### FCN model validation metrics oscilalte

I am doing FCN for semantic segmentation. Just based on the data below I am wondering if I should continue training the model if my validation accuracy and validation loss are oscillating like this. ...
86 views

• 5,699
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### Partial Correlation with Nominal/Categorical Variable

Is there a method to do a partial correlation with a nominal/categorical variable? If so: What is it called and how would you do it in R?
22 views

### Marginal Likelihood Computation for Bayesian Linear Model

Given a simple Bayesian linear model with $N$ observations $y = X\beta + \varepsilon \quad \quad \varepsilon \sim \mathcal{N}(0, \Sigma)$ with known error variance-covariance matrix $\Sigma$ and ...
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### Difference between margins and coefficients in Stata?

I read several explanation but I didn’t got it at all. What are the practical differences between margins and coefficients? To the background: I run a regression using an interaction Term ...
• 95
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### Finding posterior with Ga prior, Exp likelihood

I'm using this 2017-2018 exam paper to pre-study for a module in Bayesian Statistics. It has a question, Assume that the waiting time, $t$, of a client in a bank can be modelled with an exponential ...
• 341
18 views

### Should I use standardised or unstandardised beta coefficient in this scenario?

I am running a regression on Tax payment and investment. Tax payment is numerical and investment is categorical like, number of projects carried out. When I run the regression the a unstandardised ...
18 views

### AR(1) Process and Infinite Geometric Series

I'm doing an assignment and I've been told that ln(real consumption) has a unit root and is an I(1) process and that real consumption is given by: I've also been told that: Part A I need to derive ...
69 views

### Why is $AUC=0.5$ and a 45-degree line for a ROC curve considered baseline performance?

$AUC=0.5$ and an ROC curve of a 45-degree line often are considered the baseline performance of a model, one that gets absolutely nothing from the features. If we predict the same (prior) probability ...
• 35.6k
7 views

### Model performance graph is oscillating?

I've seen a fair amount of information online regarding the loss graph of a deep learning model oscillating, but not so much about the performance graph. In general, when I "properly" train ...
• 2,649