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  2. Propensity score matching - Wikipedia

    en.wikipedia.org/wiki/Propensity_score_matching

    Kernel matching: same as radius matching, except control observations are weighted as a function of the distance between the treatment observation's propesnity score and control match propensity score. One example is the Epanechnikov kernel. Radius matching is a special case where a uniform kernel is used.

  3. Matching (statistics) - Wikipedia

    en.wikipedia.org/wiki/Matching_(statistics)

    Matching is a statistical technique that evaluates the effect of a treatment by comparing the treated and the non-treated units in an ... Propensity score matching, ...

  4. Huffington Post / YouGov Public Opinion Polls

    data.huffingtonpost.com/yougov/methodology

    Propensity scores for sample inclusion are estimated using a logistic regression. The predictors in the propensity score model include the demographics described above (age, race, gender, and education) plus marital status, number of children, household ownership, frequency of internet use, interest in politics, and past voting behavior.

  5. Propensity probability - Wikipedia

    en.wikipedia.org/wiki/Propensity_probability

    The propensity theory of probability is a probability interpretation in which the probability is thought of as a physical propensity, disposition, or tendency of a given type of situation to yield an outcome of a certain kind, or to yield a long-run relative frequency of such an outcome.

  6. Paul R. Rosenbaum - Wikipedia

    en.wikipedia.org/wiki/Paul_R._Rosenbaum

    Paul R. Rosenbaum is the Robert G. Putzel Professor Emeritus in the Department of Statistics and Data Science at Wharton School of the University of Pennsylvania, where he worked from 1986 through 2021.

  7. AI Models Are Getting Smarter. New Tests Are Racing to Catch Up

    www.aol.com/ai-models-getting-smarter-tests...

    Other tests assess specific capabilities, such as coding, or evaluate models' capacity and propensity for potentially dangerous behaviors like persuasion, deception, and large-scale biological ...

  8. Probability matching - Wikipedia

    en.wikipedia.org/wiki/Probability_matching

    Probability matching is a decision strategy in which predictions of class membership are proportional to the class base rates.Thus, if in the training set positive examples are observed 60% of the time, and negative examples are observed 40% of the time, then the observer using a probability-matching strategy will predict (for unlabeled examples) a class label of "positive" on 60% of instances ...

  9. What the visa feud says about the coming Trump administration

    www.aol.com/visa-feud-says-coming-trump...

    Donald Trump’s siding with Elon Musk over visas for high-tech workers is the most significant example yet of the president-elect favoring powerful elements in his new MAGA coalition over his ...