Abstract: This paper investigates the online identification and data clustering problems for mixed linear regression (MLR) model with two components, including the symmetric MLR, and the asymmetric ...
Heteroscedasticity describes a situation where risk (variance) changes with the level of a variable. In financial models, ...
Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
A newly enacted New York law requires retailers to say whether your data influences the price of basic goods like a dozen eggs or toilet paper, but not how. If you’re near Rochester, New York, the ...
Lots of people are talking about addressable TV. “Data-driven linear,” though? Not so much. But despite the fact that data-driven linear (DDL) doesn’t get as much attention as its somewhat sexier ...
Trump fired the Bureau of Labor Statistics head. In Argentina, the government manipulated the inflation rate. Economists went rogue to calculate the real rate, and people lost trust in the numbers.
A data breach of the Tea app recently exposed users' selfies, IDs, and private messages. The breach shows the risk of giving out your sensitive information to new apps. Cybersecurity experts say ...
Economists say unbiased data is essential for policymaking, and for democracy. President Trump said he ousted the head of the Bureau of Labor Statistics because the numbers produced by her agency were ...
Litchfield stated, "We currently expect revenue in the third quarter of 2025 to be between $115 million and $135 million." He added, "We expect third quarter GAAP gross margin to be approximately 55% ...
Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...
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