Skip to main content
Cornell university
Cornell Statistics and Data Science Cornell Statistics and Data Science
  • About Us

    About Us
    Cornell's Department of Statistics and Data Science offers four programs at the undergraduate and graduate levels. Undergraduates can earn a BA in statistical science, social...

    Welcome to the Department of Statistics and Data Science
    History
    Facilities
    Statistics Graduate Society
    Recently Published Papers
  • Academics

    Academics

    Undergraduate
    PhD
    MPS
    PhD Minor in Data Science
    Courses & Course Enrollment
  • People

    People

    Faculty
    Field Faculty
    PhDs
    Emeritus Faculty
    Academic Staff
    Staff
    Research Areas of Expertise
    Statistical Consultants
  • News and Events

    News and Events

    Events
    News
  • Resources

    Resources

    Professional Societies and Meetings
    Affiliated Groups
    Career Services
    Cornell Statistical Consulting Unit
  • Alumni

    Alumni
    Cornell's Statistics and Data Science degrees prepare students for a wide variety of careers, from academia to industry.  See the After Graduation page for a general overview of...

    Alumni Profiles

Search form

You are here

  1. Home 
  2. Events 
  3. Statistics Seminars

Statistics Seminar Speaker: Helene Massam, 12/2/2015

Event Layout

Wednesday Dec 02 2015

Statistics Seminar Speaker: Helene Massam, 12/2/2015

4:15pm @ G01 Biotechnology
In Statistics Seminars

The Statistics Seminar Speaker for December 2 is Helene Massam, professor in the department of Mathematics and Statistics at York University. For more information, including Massam's publications list, visit her webpage.

Title: A New Prior for Discrete DAG Models with a Restricted Set of Directions

Abstract: In the present literature, prior distributions for discrete directed acyclic graph (DAG) models are either derived from the Dirichlet distribution on the complete model or consists of a set of different Dirichlet priors for each vertex of the DAG and each configuration of its parents.

In this talk, we develop a new family of conjugate prior distributions for the cell probability parameters of discrete graphical models Markov with respect to a set $\cP$ of moral directed acyclic graphs with skeleton a given decomposable graph $G$. This family, which we call the $\cP$-Dirichlet, is a generalization of the hyper Dirichlet: it keeps the directed strong hyper Markov property of the hyper Dirichlet for every DAG in $\cP$ but increases the flexibility in the choice of its parameters, i.e. the hyper parameters.

We also give a characterization of this $\cP$-Dirichlet which yields, as corollaries, a characterization of the hyper Dirichlet and a characterization of the Dirichlet. 

Refreshments will be served after the seminar in 1181 Comstock Hall. 

Event Categories

  • Statistics Seminars
  • Special Events
  • Home
  • About Us
  • Contact Us
  • Careers
© Cornell University Department of Statistics and Data Science

1198 Comstock Hall, 129 Garden Ave., Ithaca, NY 14853

Social Menu

  • Facebook
  • Twitter
  • YouTube
Cornell Bowers CIS College of Computing and Information Science Cornell CALS ILR School

If you have a disability and are having trouble accessing information on this website or need materials in an alternate format, contact web-accessibility@cornell.edu for assistance.