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Case Study: How an LLM Agent Streamlines Quarterly Earnings Calls for Analysts
This case study shows how an LLM-powered agent automates the analysis of earnings call transcripts—summarizing key points, extracting financial guidance, and...
Read articleMonte Carlo Simulations in Macroeconomic Modeling
Monte Carlo simulations offer a powerful way to model uncertainty in macroeconomic systems. This article explores how they're applied to stress testing, fore...
Read articleIll-Posed Problems and What Regularization Really Does
In an ill-posed inverse problem, small observational errors can become large errors in the reconstructed parameters or fields. Regularization works by suppre...
Read articlePCA Can Delete the Clustering Signal
Principal component analysis is often used before clustering to remove noise and reduce dimension. That can help, but PCA optimises variance rather than clus...
Read articleA Mechanism Is Not an Effect
Establishing one causal pathway does not establish the total effect of an intervention. Competing pathways, dose, scale, and surrogate outcomes can change bo...
Read articleSafety Stock Is a Probability Problem
"Keep half a day of safety stock" sounds operationally simple, but it does not define a service level. Two items with the same mean demand and lead time can ...
Read articleSwitchback Experiments: Randomising Time When You Cannot Randomise Users
Pricing cannot be randomised by user, so the system is switched on and off every fifteen minutes instead. The order-level analysis reports a standard error o...
Read articleHow Antibiotic Resistance Spreads Through Bacteria
Antibiotic resistance concerns microbes and medicines. A worked example shows how a rare resistant group can become a large share of the survivors without th...
Read articleDesign Analysis: What a Significant Result Means in a Small Study
The test had about ten percent power against the effect that was plausible beforehand. It came back significant at 7.7 percent. The truth was 2 percent, and ...
Read articleTrigger Dilution: Measuring a Feature on the Ninety Percent Who Never Saw It
Eight percent of users ever open the panel the experiment changed. The effect among them is a 6 percent lift, and the number on the dashboard is 0.76 percent...
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