Shuva Gupta

Shuva Gupta
  • Lecturer in Statistics

Contact Information

  • office Address:

    445 Jon M. Huntsman Hall
    3730 Walnut Street
    Philadelphia, PA 19104

Research Interests: Theory and Methods: Penalized methods in high dimensional data analysis, variable selection, nonparametric statistics.
Application: Statistical analysis of genomic and toxicology data.

Teaching

Current Courses

  • STAT101 - Intro Business Stat

    Data summaries and descriptive statistics; introduction to a statistical computer package; Probability: distributions, expectation, variance, covariance, portfolios, central limit theorem; statistical inference of univariate data; Statistical inference for bivariate data: inference for intrinsically linear simple regression models. This course will have a business focus, but is not inappropriate for students in the college.

    STAT101001

    STAT101002

    STAT101003

Past Courses

  • STAT101 - INTRO BUSINESS STAT

    Data summaries and descriptive statistics; introduction to a statistical computer package; Probability: distributions, expectation, variance, covariance, portfolios, central limit theorem; statistical inference of univariate data; Statistical inference for bivariate data: inference for intrinsically linear simple regression models. This course will have a business focus, but is not inappropriate for students in the college.

  • STAT430 - PROBABILITY

    Discrete and continuous sample spaces and probability; random variables, distributions, independence; expectation and generating functions; Markov chains and recurrence theory.

Knowledge@Wharton

U.S.-China Trade Deal: Looking Beyond the Truce

The U.S.- China trade agreement signed on January 15 is a truce but it’s a step in the right direction, says Wharton’s Mauro Guillen.

Knowledge @ Wharton - 2020/01/20
Can Universal Basic Income Work?

Are guaranteed payments to every citizen a solution to the widening wealth gap or a detriment to the long-term health of the economy? A pilot program in Stockton, California, is aiming to find some answers.

Knowledge @ Wharton - 2020/01/17
Equal Work, Unequal Growth? Promotions and Recognition for Women in IT

What affects the career prospects of women who choose to work in information technology? Nishtha Langer offers her insights in this opinion piece.

Knowledge @ Wharton - 2020/01/17