Questions tagged [causalimpact]

The tag has no usage guidance.

Filter by
Sorted by
Tagged with
0
votes
0answers
9 views

Where is publically available time-series RCT data?

Our team is writing a paper about uplift modeling considering time heterogeneity using Machine Learning model and Causal Inference theory; the example would be like, in marketing, a model maximizing ...
0
votes
0answers
14 views

What is the difference between causal discovery and inverse modeling?

I do not see these words used interchangeably, but they seem to be similar. In inverse modeling we are trying to find causal factors given an effect. In causal discovery, we are also looking for ...
0
votes
0answers
5 views

Adding a feature increased amount of transaction however how do you prove it is not simply due to seasonal changes?

I've been always curious about similar topic however still do not fully understand it. Say in a car sharing company I am implementing promotion A from Sept ~ Dec. I want to know whether promotion had ...
1
vote
0answers
40 views

How far or close would feature importance information from an ML model is from causal diagrams?

The title pretty much covers my question, but to elaborate it: given data (let's assume, for simplicity, it is good enough representation of the underlying distribution) for a binary classification ...
1
vote
1answer
38 views

Treatment and Control selection in A/B Testing

I'm hoping to get a better understanding of A/B Testing design. In particular, I'm interested in understanding how treatment and control units are selected. I read that these 2 groups are selected ...
0
votes
0answers
9 views

Issues with casual inference from multi-armed bandit experiment

Experiments are the gold standard for establishing causal relationships. One variation in experimental design is multi-armed bandits. Does the dynamic assignment of participants in a multi-armed ...
0
votes
0answers
18 views

Preventing Overfitting with CausalImpact

I am looking to perform causal inference on a fairly limited dataset. The data is summarized monthly over the last few years, so I'm only looking at roughly 12-20 data points per time series. However, ...
0
votes
0answers
30 views

Exploratory statistics, how to idenify and remove driver (bias)

I am looking at customer data, and created frequency tables (+histograms) for customers with different professional statuses and what the best time is to reach them. Status ranges here from employed, ...
2
votes
1answer
166 views

difference between feature interactions and confounding variables

Let me define the problem space. I am working a binary classification problem. I am trying to build a causal model as well as predictive model. My aim is to find list of significant features (based ...
1
vote
0answers
132 views

Which are valid covariates in CausalImpact?

I am working lately with CausalImpact developed by Google. The paper described it is this one Inferring Causal Impact Using Bayesian Structural Time-Series Models In short, what you can do with ...