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Ryan Orban

Ryan Orban

Subject
5 entries

Prediction

Bookmarks

  1. How High Will San Francisco Rent Go? These Data Analysts May Have the Answer

    PandoDaily's 2014 coverage of data analysts using rental listing data to forecast San Francisco rent trends — at the peak of the Bay Area housing crisis. An early example of applying data science methods to the hyperlocal problem of predicting neighborhood-level rent.

  2. Statistical Models Can Predict Kickstarter's Success Within 4 Hours

    Ars Technica coverage of research showing statistical models can predict Kickstarter campaign success within the first four hours of launch. Early-momentum signals turn out to be highly predictive — social proof compounds quickly.

  3. Nate Silver Gets Real About Big Data

    ReadWrite's coverage of Nate Silver pushing back on big data hype — arguing that more data doesn't automatically improve predictions, and that statistical rigor and good models matter more than raw volume. Silver had credibility from his 2012 election forecasting success.

  4. MIT Can Predict How Many Retweets You'll Get

    Wired's coverage of MIT research predicting retweet counts from tweet content and network features. An early demonstration that social network propagation could be modeled predictively, with implications for understanding how information spreads.

  5. An Algorithm to Pick Startup Winners

    MIT Technology Review's 2012 piece on early attempts to predict startup success algorithmically — using team composition, funding history, and network signals. The prediction accuracy was modest; the methodological interest was in what features correlated with outcomes.

All bookmarks