Patrick McCarthy

New York, New York, United States Contact Info
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Experience & Education

  • Two Sigma Ventures

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Licenses & Certifications

  • ITIL Foundations

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Publications

  • A Study on Conditional Likelihood Estimation for Survey Sampling

    The pursuit of accurate methods for generalizing attributes of a population from a sampled subset is a problem predating the discipline of statistics. Rather than attempting to characterize a population and so assume that the population perfectly represents its own generative process, a superpopulation approach considers the observed population as a sigma algebra of all possible data generated by a process and is focused upon estimating the parameters of the process rather than producing…

    The pursuit of accurate methods for generalizing attributes of a population from a sampled subset is a problem predating the discipline of statistics. Rather than attempting to characterize a population and so assume that the population perfectly represents its own generative process, a superpopulation approach considers the observed population as a sigma algebra of all possible data generated by a process and is focused upon estimating the parameters of the process rather than producing summary statistics.

    This study briefly surveys the essentials of survey sampling and evaluates a new superpopulation-based approach put forth by Chaudhuri, Handcock and Rendall (2013), based upon the empirical likelihood of Owen (1989). Using the form of the Hajek estimator and informing it with conditional estimation on empirical likelihood, the approach is shown by simulation study to improve in both accuracy and variance against Hajek's estimator in cases where the values of interest and sampled auxiliary information have little or no correlation, and no improvement over existing methods of estimation otherwise.

    See publication

Courses

  • Advanced Modeling and Inference

    STAT 201C

  • Applied Probability

    STAT 200A

  • Bayesian Analysis

    BIOSTAT M234

  • Intermediate SAS

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  • Mathematical Statistics

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  • Matrix Algebra and Optimization

    STAT 202B

  • Monte Carlo Methods for Optimization

    STAT 202C

  • Project Management

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  • Regression Analysis

    STAT 201B

  • Research Design, Sampling and Analysis

    STAT 201A

  • Social Network Analysis

    STAT 218

  • Statistics Programming

    STAT 202A

  • Theoretical Statistics

    STAT 200B

Projects

  • LA Sheriff's Office Corruption Investigation

    Support for investigative print journalism. Generated usable dataset for analysis from personnel and financial records, examined likelihood of “pay for play” promotion practices.

    Shortly after this story went to press, Sheriff's Office employees receiving campaign donations were no longer permitted to make employment decisions.

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  • Campaign Donation Analysis

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    Mined the campaign’s donor database for insights, discovered trends to identify potential repeat donors and presented recommendations to campaign staff.

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  • Medicare Pay-for-Performance Visualization

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    A visualization in leaflet and d3.js for displaying in-depth hospital performance information at the individual, state, regional and national levels, as well as comparing the area of interest to the entire population. The visualization was designed from the ground up to be reusable and is an ongoing fixture in client relationships.

    See project

Languages

  • French

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