Talks

2024

Model-Based Clustering for Social Networks

This seminar is repeat of the seminar given by Adrian E. Raftery and myself in October 2007 of our Journal of the Royal Statistical Society, Series A read paper ‘Model-Based Clustering for Social Networks’. Jeremy Tantrum is the third author of the paper. The session was chaired by Christian Hennig with discussions from Nial Friel and Claire Gormley.
Model-Based Clustering for Social Networks

2023

Some New Models for Social Networks

This is the Keynote Address at the Australian Social Network Analysis Conference 2023. In it I discuss classes of exponential-family models that extend the range and realism of traditional classes.
Some New Models for Social Networks

Modeling of Networked Populations with Exponential-Family Random Network Models when data is Sampled or Missing

In this talk we discuss network modeling with a novel exponential-family class of models when the network in only partially observed.
Modeling of Networked Populations with Exponential-Family Random Network Models when data is Sampled or Missing

Introduction to Computational Social Science

In this talk we start with the question: Why Computational Social Science? Traditionally, science has followed the mode of theory and …
Introduction to Computational Social Science

Practical Network Modeling via Tapered Exponential-family Random Graph Models

In this talk we discuss a new class of models for social networks that which circumvents the issue of near-degeneracy while maintaining the desirable features of exponential-family models.
Practical Network Modeling via Tapered Exponential-family Random Graph Models

Data Theory in the World Seminar: Why is it important to be a data-driven organization?

What sorts of organizations will students face when they graduate? How should students prepare themselves? This is the first of a …
Data Theory in the World Seminar: Why is it important to be a data-driven organization?

DataX Salon with Mark S. Handcock

DataX Salons are informal conversations for UCLA faculty, staff and students to become acquainted with a diverse group of UCLA data …

DataX Salon with Mark S. Handcock

Practical Network Modeling via Tapered Exponential-family Random Graph Models

In this talk we discuss a new class of models for social networks that which circumvents the issue of near-degeneracy while maintaining the desirable features of exponential-family models.
Practical Network Modeling via Tapered Exponential-family Random Graph Models

2022

Data Theory in the World Seminar: Preparing for Future Work

What will students face when they graduate? The last years have seen work environments change rapidly, especially for data scientists. …
Data Theory in the World Seminar: Preparing for Future Work

COVID through a statistical lens

Exploring Your Universe at UCLA is a volunteer-run science fair for all ages that brings in thousands of participants from the greater Los Angeles area. This talk was to a general audience on the question: ‘How can we learn from data?’.
COVID through a statistical lens

Sampling Hard-to-Reach Populations

This is an 80-minute invited address to Statistics Canada’s 2022 International Methodology Symposium. Statistics Canada is the Canadian equivalent of the US Federal statistical agencies and Census Bureau. The audience of the Symposium includes all Statistics Canada’s methodology staff as well as external participants.
Sampling Hard-to-Reach Populations

Revealed Preference Models for Marriage Formation

This is an Invited Paper for the session ‘Statistical Methods for Social Interactions — Invited Papers’, 2022 Joint Statistical Meetings.
Revealed Preference Models for Marriage Formation

Revealed Preference Models for Marriage Formation

This is the Duncan Invited Lecture, Section on Methodology, 117th American Sociological Association Annual Meeting.
Revealed Preference Models for Marriage Formation

Comparing the real-world performance of exponential-family random graph models and latent order logistic models for social network analysis

In this talk we assess the real-world performance of Latent Order Logistic models (LOLOG).
Comparing the real-world performance of exponential-family random graph models and latent order logistic models for social network analysis

Sampling Hard-to-Reach Populations

This is an invited talk on survey sampling given at the 7th Italian Conference on Survey Methodology.
Sampling Hard-to-Reach Populations

Sampling Hard-to-Reach Populations

This is the Presidential Invited Address, Survey Methods Section, Statistical Society of Canada Annual Meeting.
Sampling Hard-to-Reach Populations

Data Theory in the World Seminar: How Data Drives Business Decisions

This event provided an opportunity for students to hear from leading data scientists about how their world has been changed by data. …
Data Theory in the World Seminar: How Data Drives Business Decisions

COVID through a statistical lens

This event provided an opportunity for alumni of the department to hear about work of department members on COVID-19 pandemic response.
COVID through a statistical lens

2021

Tracking all cause of death and estimating excess mortality during the COVID-19 pandemic: statistical and computational tools

The talk was presented to the World Health Organization Head Quarters HQ Technical Advisory Group on methodology I developed to track all cause of death mortality over time and estimate the excess mortality during the COVID-19 pandemic."
Tracking all cause of death and estimating excess mortality during the COVID-19 pandemic: statistical and computational tools

2020

Determining Local Levels of the Effectiveness and Efficiency of Contact Tracing Through Modeling

This was a panel at the UCLA California Center for Population Research (CCPR) on population-Based Modeling and Measurement of COVID-19.
Determining Local Levels of the Effectiveness and Efficiency of Contact Tracing Through Modeling