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Questions tagged [causality]

Causal inference is a branch of scientific inquiry that seeks to understand the relationship between cause and effect. It involves studying the factors that lead to a particular outcome or event and identifying the causal relationships between them. Causal research is often used in fields such as medicine, psychology, and social sciences to identify the causes of various phenomena and to develop interventions that can effectively address them.

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How to import the MVGC Multivariate Granger Causality Matlab® Toolbox and use it?

I want to study and use the "MVGC Multivariate Granger Causality Matlab® Toolbox" . For that I want to run a example for the same in Matlab. Can you tell me how to import this toolbox and use it with the help of one sample working example ? Thanks…
Sushodhan
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Interpretation for nlin_causality.test from the package NlinTs in R

The function's detail says: The test evaluates if the second time series causes the first one. Two MLP artificial neural networks are evaluated to perform the test, one using just the target time series (ts1), and the second using both time…
Diego Garcia
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Reduce credible intervals in Causal Impact model

I'm hitting an issue with a causal impact model that I'm building. I'm trying to create a counter factual for daily sales at one store (nseasons = 7). I've included sales for 5 other stores nearby. Eyeballing a lineplot, it appears to me that trends…
adrianf22
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Multiple variable names in VAR causality function

I'm working on some code to determine granger causalities for a set of financial and public interest data. I've run into a bit of an issue with the syntax of the causality() function within the VAR package. Here's a sample of code and its potential…
Chris
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Select prior probability of inclusion in CausalImpact or bsts?

In the CausalImpact package, the supplied covariates are independently selected with some prior probability M/J where M is the expected model size and J is the number of covariates. However, on page 11 of the paper, they say get the values by…
Booley
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How to obtain confidence intervals for ATT using Match()

I'm using the Match() library in R, and I need CI for ATT. Is there a way to get it? I want to use propensity scores while calculating ATT and CI. How it'd be calculated? (i.e. what would be the formula and why?) Cheers, PS: I looked on those,…
oba2311
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Granger causality for muti-dimensional time series for single variable

I am trying to use Granger causality for testing causal dependency between two variables. However most Granger causal models (and also the Vector Autoregression models) use single time series (one sample per variable) for each of the variables (or…
Soumajyoti Sarkar
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Granger causal tests on raster stacks in R

I am attempting to do a pixel-wise granger causal test on two raster stacks with 60 rasters each. The example below has only 20 rasters: library(raster) library(lmtest) r <- raster(ncol=10, nrow=10) r[]=1:ncell(r) S <-…
Joke O.
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How to code Vector Auto-Regressive Model in matlab?

The VAR model generalizes the univariate auto-regressive (AR) model to multiple time series. I would like to implement a Vector Auto-Regression Model that outlines the following formula based on the observation of time t: x(t) = c + (t-1)∑(i = t +…
Derozan
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one class CRF source code for outlier detection - C++

Can anyone suggest me a C++ library for one class conditional random field? which can be used for abnormality detection.
Varo
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How to do t-test after matching in MatchThem

Through matchthem(), I have got matched.datasets. Then I want to check the balance of covariates between two matched groups through t-test or p-value. But the cobalt package could not show p-value or t-test results.
tumidou
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Questions about cuda memory model: does causality order remain transitive across different scopes

we recently encountered some CUDA memory model related issues when doing cross-CTA communication. We are seeking an authoritative answer from CUDA memory model experts. Specifically, we want to know whether causality order remain transitive across…
njuallen
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Autoencoder for casualty of time series data

I am trying to figure out the link between 2-time series vectors. for example : X = temperature variation for one year; Y = strain measurement for one year; I am new to machine learning. I cannot figure out which unsupervised algorithm to use for…
ImBay
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How to match test/control in R

I am new to matching test/control. I saw that in R, we could use either Matching or MatchIt to select matches. What are differences between the two ways to create matches? Could you provide examples for each of them? Thanks!
Cactusecon
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treatment effect on unbalanced panel data

enter image description hereI have one unbalanced dataset that contains movie sales data along with some of the characteristics of the movies for several years. One treatment (event) happened in the society in a specific year in between. Now, I want…
Lili.Y
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