Problem of the Week: The Value of Bedrooms

Question: You work for an internet real-estate company, building statistical models to predict home price on the basis of square footage, number of bedrooms, number of bathrooms, property type (single family home, townhouse, multiplex), and age. Surprisingly, you find the coefficient for bedrooms is negative,…

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Handling the Noise – Boost It or Ignore It?

In most statistical modeling or machine learning prediction tasks, there will be cases that can be easily predicted based on their predictor values (signal), as well as cases where predictions are unclear (noise). Two statistical learning methods, boosting and ProfWeight, use those difficult cases in…

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Alaskan Generosity

People in Alaska are extraordinarily generous - that's what a predictive model showed, when applied to a charitable organization's donor list. A closer examination revealed a flaw - while the original data was for all 50 states, the model's training data for Alaska included donors,…

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Job Spotlight: Digital Marketer

A digital marketer handles a variety of tasks in online marketing - managing online advertising and search engine optimization (SEO), implementing tracking systems (e.g. to identify how a person came to a retailer), web development, preparing creatives, implementing tests, and, of course, analytics. There are…

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The False Alarm Conundrum

False alarms are one of the most poorly understood problems in applied statistics and biostatistics. The fundamental problem is the wide application of a statistical or diagnostic test in search of something that is relatively rare. Consider the Apple Watch's new feature that detects atrial…

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How Google Determines Which Ads you See

A classic machine learning task is to predict something's class, usually binary - pictures as dogs or cats, insurance claims as fraud or not, etc. Often the goal is not a final classification, but an estimate of the probability of belonging to a class (propensity),…

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Examples of Bad Forecasting

In a couple of days, theWall Street Journalwill come out with its November survey of economists' forecasts. It's a particularly sensitive time, with elections in a few days and President Trump attacking the Federal Reserve for for raising interest rates. It's a good time to…

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Be Smarter Than Your Devices: Learn About Big Data

When Apple CEO Tim Cook finally unveiled his company's new Apple Watch in a widely-publicizedrolloutearlier this month, most of the press coverage centered on its cost ($349 to start) and whether it would be as popular among consumers as the iPod or iMac. Nitin Indurkhyasaw…

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Statistics.com Partners With CrowdANALYTIX to Offer New Online Course With Crowdsource Contest As Project

Crowdsourcing, using the power of the crowd to solve problems, has been used for many functions and tasks, including predictive modeling (like the 2009 Netflix Contest). Typically, problems are broadcast to an unknown group of statistical modelers on the Internet, and solutions are sought. Every…

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