Causal inference 101 answering the crucial "why" in your analysis
"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...
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| Formato: | Vídeo online |
| Idioma: | Inglés |
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[Place of publication not identified] :
O'Reilly Media
2020.
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| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009822823806719 |
| Sumario: | "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. |
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| Notas: | Title from resource description page (viewed July 23, 2020). This session is from the 2019 O'Reilly Strata Conference in New York, NY. |
| Descripción Física: | 1 online resource (1 streaming video file (36 min., 45 sec.)) : digital, sound, color |
