# All Questions

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4 views

### Feature to detect a reverse timeseries

I have a multiclass timeseries classification problem with 11 classes. The class 0 is my negative class, and the classes 1~10 are the positives and they are generated (using some equations) based on ...
6 views

6 views

### How many free parameters are needed in Bayesian Network?

If X is observed and unobserved, how many free parameters are needed respective?
9 views

### How to compute Gerber statistics

I am brand new user of Python. Would you like to help me how to compute Gerber statistics from this website here https://portfoliooptimizer.io/blog/the-gerber-statistic-a-robust-co-movement-measure-...
2 views

### How to best quantify energy flexibility of a building when only temperature data is available

I'm trying to best quantify energy flexibility in the described setting — The only data consistently available is HVAC system set temperature, inside temperature, outside temperature and a comfort ...
12 views

### How do I calculate demand elasticity when what I have is a function?

I have a function that takes a variable, transport costs, and returns an average commuting distance. I want to calculate what happens to the average commuting distance in % terms if we increase ...
6 views

### How can I interpret KNN clustering using FNN package in R for analyzing football passes?

I have a dataframe of 411 rows where each row represents a pass (football) and four columns. Two columns are the x and y coordinates of the location where the pass starts, and the other two columns ...
4 views

### Testing homogeniety within a bin of scores given max number of bins

I have a score (ranging from 0 to 1000) which predicts a binary event. The score is based on a regression. Scores are binned. There should be a maximum of $x$ (e.g. $10$) bins. Predicitions within a ...
8 views

### How many samples are required to identify the most frequent element in a power law distribution?

How many samples are required to identify the most frequent element? I'm assuming the frequency of the elements in the distribution follow the power law.
1 vote
4 views

### Necessity of incorporating Signal to noise ratio in data simulation for glm

I have seen in many simulation studies, Signal to noise ratio (SNR) is incorporated. Even in glm where usually we do not have error (logistic). I do not get this fact. Why it is necessary for ...
1 vote
5 views

### add variable occurs between measurements LMM

I am interested in adding a variable to a repeated measurements model, LMM (3 measurements of QOL). But unlike gender, for example, which does not change between measurements, the variables I want to ...
1 vote
13 views

### Custom link function needed for generalised linear model in R

I would like to use a generalised linear model to analyse data on the relationship between the size of a host and probability of parasitism in a wild population to determine the minimum host size at ...
13 views

### GAM partial response plot interpretation

I've made the gam in the code below (in R), but I'm struggling to interpret the results. Specifically, the partial response plots for all but one of the variables is linear, and the CI lines cross in ...
23 views

### Probability of Event if Another Occurs

An enemy that can drop loot has a 10% probability of spawning out of all enemies. Only one model type can drop loot out of 8 models (1/8). What is the probability of a specific enemy dropping loot, if ...
5 views

### Difference-in-differences of standard deviation

I am hypothesizing that a certain event caused prices of commodity A to become more volatile. I obtained monthly price data for commodity A as well as a price index for a larger bucket of products ...
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1 vote
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### Why use causal inference if coefficients are same in an OLS?

I was reading this amazing article about FWL theorem and it's application to causal inference. In the article, there are some examples showing that the coefficients of an OLS estimator is the same ...
12 views

### Gradient vs differences to remove non-stationarity in time series?

When dealing with non-stationary time series (for instance, in auto-correlation analysis), differencing (computing absolute differences between consecutive samples/observations) is often regarded as ...
8 views

### Study of an experimental regression with a percentage as the dependent variable

I am trying to estimate the effect of an experimental intervention (random assignation to treatment and control groups) with the percentage of people in each group assisting to government services as ...
4 views

### What model should I use for this weird dataset? (Survey Response attributes)

Above is a snippet of a dataset I am working with. It is a pull from a research tool presenting a set of many different and distinct attributes that have been sorted into numerous "categories&...
13 views

### Tweedie distribution [closed]

I am trying to model semi-continuous data with a mass at zero and a long tail, as seen in the image below "Actual - train", using Tweedie. However, the prediction distribution "...
118 views

### AB testing, which denominator to use for lower funnel metrics

Suppose I run AB testing for a website that does subscription business. The company offers a free trial for 7 days before automatically enrolling users to subscriptions and charging them unless they ...
31 views

### What is the intution between point estimation of model parameters in statistics?

I am reading a topic about point estimation of model parameters. I understood it as follows: We have "observed" a sample $X_1,...X_n$ where we know it's distribution, i.e. the sample is ...
17 views

### Literature on Dependent Dirichlet Processes with Replicates

I have some data that I would like to fit using a dependent Dirichlet process (DDP) but my data contains replicates. For example, I have 12 times series (say measured at 6 time points) and I would ...
6 views

### How do I choose one covariate out of many covariates that might have similar effects?

I plan to run a logistic regression model to understand the influence of temperature on the occupancy of a hare species. However I can't decide on which aspect of temperature should I consider as my ...
5 views

### pdfs via marrangeGrob [closed]

Here's a function to print a couple of pdf's: all necessary data and libraries have been provided; n1 and n2 are used to split a long data frame in two. ...
12 views

### Test and Train AUC are almost exactly the same

I am trying to build a logistic regression model. My test and training sets are generating almost the same AUC. Ideally- this means that the model is performing very well. But since, I got this result ...
1 vote
7 views

### Independent Subscales

What properties should there of a subscale to be used independently of the whole scale? I am looking for a scale that measures a specific perceived parenting style, but there is no scale for it. ...
1 vote
13 views

### Need to come up with an equation or method to calculate a ratio between two arrays of numbers

I have two arrays of data: # of Files Time to Process in seconds 1 8 2 20 3 31 4 76 What I'm wanting to do is come up with an estimate of how long it will take to process n number of files. I ...
1 vote
19 views

### How to Interpret scatter plot for binary response?

I have come to know about scatterplot matrices, where pairwise scatterplots for covariates are built and then binary responses are jittered. This plot is helpful to give an idea about how each ...
15 views

### Why are the variables in a VAR model considered endogenous?

Does it have to do with the interdependence of one equation on the lagged values of its own as well as the other equations? If I remember correctly, in simultaneous equations, cross-causality is also ...
1 vote
14 views

### Convergence of a subsequence of arrays of random variables

Consider $X(ij)$ for $i = 1, ..., n$ and $j = 1, ...,n$ be random variables. I proved that for each i, the sequences $X($i$j)$ converge in distribution to random variable Y as $n$ tends to $\infty$. ...