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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...
| Clasificación: | Libro Electrónico |
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| Autor Corporativo: | |
| Formato: | Electrónico Congresos, conferencias Video |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
O'Reilly Media,
2020.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
| 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.)) |