Causal inference 101 : answering the crucial "why" in your analysis / Subhasish Misra.

Format:

Conference/Event

Video

Author/Creator:

Misra, Subhasish, on-screen presenter.

Conference Name:

O'Reilly Strata Data Conference (2019 : New York, New York), issuing body.

Language:

English

Subjects (All):

Electronic data processing--Congresses.

Electronic data processing.

Data structures (Computer science)--Congresses.

Data structures (Computer science).

Cloud computing--Congresses.

Cloud computing.

Artificial intelligence--Congresses.

Artificial intelligence.

Physical Description:

1 online resource (1 streaming video file (36 min., 45 sec.)) : digital, sound, color

Place of Publication:

[Place of publication not identified] : O'Reilly Media, 2020.

Summary:

"Subhasish Misra (Walmart Labs) explores the statistical methods available to ensure you're able to circumvent this shortcoming and get to causality. You'll get a practical overview of the aspects of causal inference, including the fundamental tenants of causality and measuring causal effects; the challenges involved in measuring causal effects in real-world situations; distinguishing between randomized and observational measurement approaches; an introduction to measuring casual effects with observational data using matching and its extension of propensity score-based matching with a focus on the institution and statistics behind it, tips from the trenches based on Subhasish's experience with these techniques; and practical limitations of these approaches. Subhashish walks you through an example of how matching was applied to get causal insights regarding the effectiveness of a digital product at Walmart."--Resource description page.

Participant:

Presenter, Subhasish Misra.

Notes:

Title from resource description page (viewed July 23, 2020).

This session is from the 2019 O'Reilly Strata Conference in New York, NY.

OCLC:

1176539810