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on 30-Jun-2022 (Thu)

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Flashcard 7093171916044

Tags
#DAG #causal #edx #has-images
[unknown IMAGE 7093172440332]
[unknown IMAGE 7093158022412]

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Annotation 7093307968780

[unknown IMAGE 7093306658060] #DAG #causal #edx #has-images
Inverse probability weighting
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Flashcard 7096084335884

Tags
#DAG #causal #edx #has-images #inference
[unknown IMAGE 7096084860172]
[unknown IMAGE 7096075685132]

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Flashcard 7101843377420

Question

Disadvantags of survey-based CX measurement

1. [...]: The typical CX survey samples only 7 percent of a company’s customers

Answer
Limited

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Disadvantags of survey-based CX measurement 1. Limited: The typical CX survey samples only 7 percent of a company’s customers

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Flashcard 7101846261004

Tags
#DAG #causal #edx #has-images
[unknown IMAGE 7101847309580]
Question
[...]
[unknown IMAGE 7093306658060]
Answer
Inverse probability weighting

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Inverse probability weighting

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Flashcard 7101851503884

Question
Companies of all stripes have invested heavily in tools and technologies to help them understand their customers more deeply and to gain the advantages of superior customer experience (CX). Yet as leaders strive to form a more complete picture of customer preferences and behaviors, they continue to rely on aging survey-based measurement systems that for decades have formed the backbone of CX efforts. Companies use these systems to track CX performance through [...] or relationship surveys, “close the loop” on customer feedback via post-transaction surveys, and even plot strategic moves by attempting to mine the feedback from their regular surveys over time.
Answer
brand

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d behaviors, they continue to rely on aging survey-based measurement systems that for decades have formed the backbone of CX efforts. Companies use these systems to track CX performance through <span>brand or relationship surveys, “close the loop” on customer feedback via post-transaction surveys, and even plot strategic moves by attempting to mine the feedback from their regular surveys

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Annotation 7101853338892

#Inference #causal #reading
In this paper, we discuss recent advances made in this literature that have the potential to contribute to econometric methodology along three broad dimensions. First, they provide a unified and comprehensive framework for causal inference, in which the above-mentioned problems can be addressed in full generality.
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ature has developed a wide array of techniques for causal learning that allow leveraging information from various imperfect, heterogeneous, and biased data sources (Bareinboim and Pearl, 2016). <span>In this paper, we discuss recent advances made in this literature that have the potential to contribute to econometric methodology along three broad dimensions. First, they provide a unified and comprehensive framework for causal inference, in which the above-mentioned problems can be addressed in full generality. Second, due to their origin in AI, they come together with sound, efficient, and complete (to be formally defined) algorithmic criteria for automatization of the corresponding identific

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Flashcard 7101855173900

Tags
#causality #statistics
Question

Definition 3.3 (blocked path) A path between nodes 𝑋 and 𝑌 is blocked by a (potentially [...]) conditioning set 𝑍 if either of the following is true:

1. Along the path, there is a chain · · · → 𝑊 → · · · or a fork · · · ← 𝑊 → · · ·, where 𝑊 is conditioned on (𝑊 ∈ 𝑍).

2. There is a collider 𝑊 on the path that is not conditioned on ( 𝑊 ∉ 𝑍 ) and none of its descendants are conditioned on (de(𝑊) * 𝑍)

Answer
empty

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Definition 3.3 (blocked path) A path between nodes 𝑋 and 𝑌 is blocked by a (potentially empty) conditioning set 𝑍 if either of the following is true: 1. Along the path, there is a chain · · · → 𝑊 → · · · or a fork · · · ← 𝑊 → · · ·, where 𝑊 is conditioned on (𝑊 ∈ 𝑍). 2. There is

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