Causal Inference with Bayesian Structural Time Series Model [Walmart]
Episode 100 of the Snacks Weekly on Data Science podcast, hosted by Pan Wu, titled "Causal Inference with Bayesian Structural Time Series Model [Walmart]" was published on August 25, 2025 and runs 8 minutes.
August 25, 2025 ·8m · Snacks Weekly on Data Science
Summary
In this episode, we explore the Bayesian Structural Time Series model as a causal inference methodology and walk through a real-world example of how Walmart leveraged it to measure the impact of a simple yet meaningful product taxonomy change.For more details, you can refer to their published tech blog, linked here for your reference: https://medium.com/walmartglobaltech/decoding-causal-incrementality-in-e-commerce-leveraging-bayesian-structural-time-series-model-with-f7eaf7267d69
Episode Description
In this episode, we explore the Bayesian Structural Time Series model as a causal inference methodology and walk through a real-world example of how Walmart leveraged it to measure the impact of a simple yet meaningful product taxonomy change.
For more details, you can refer to their published tech blog, linked here for your reference: https://medium.com/walmartglobaltech/decoding-causal-incrementality-in-e-commerce-leveraging-bayesian-structural-time-series-model-with-f7eaf7267d69
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