Posts Tagged ‘Joe’

Visualizing while on Opening Workshop on Complex Networks at SAMSI

Tuesday, August 31st, 2010

It is now almost the end of my stay here in Research Triangle Park, NC at the Opening Workshop on Complex Networks organized by SAMSI. I presented a poster here on some of my work with Joe Blitzstein on estimation under respondent-driven sampling. This was about simulation studies we have done to lay foundations for our development of the new estimation method as outlined in this post. I will prepare a post describing this earlier work once we submit a paper on it, which should be soon. I also had a pleasure to meet other researchers working in the field, in particular Matt Salganik and Erik Volz. It was really enjoyable and inspiring to discuss problems relevant to estimation in RDS.

Apart from enjoying the workshop, I have had a chance to enjoy some Processing and experimented with some ideas about visualizing high dimensional dependent data (that is, when the number of dimensions is larger than 3). (more…)

Conferences in the summer of 2010

Friday, August 20th, 2010

This summer I have attended Joint Statistical Meetings (JSM) in Vancouver, and have been fortunate to have been accepted to Complex Networks Opening Workshop held by Statistical and Applied Mathematical Science Institute (SAMSI) in North Carolina near Chapel Hill. Both events are exciting and intellectually stimulating. (more…)

Networks with homophily, an interesting visualization

Tuesday, June 8th, 2010

The research I am currently involved in with my advisor Joe Blitzstein concerns networks with homophily. As per Wiki:

Homophily (i.e., love of the same) is the tendency of individuals to associate and bond with similar others. The presence of homophily has been discovered in a vast array of network studies. (more…)

Model-based estimation for respondent-driven network sampling under homophily

Sunday, June 6th, 2010

On May 3 I gave a post-qualifying talk letting the department know how my research was going. It was for the work done in collaboration with my advisor Joe Blitzstein related to respondent-driven sapling (RDS). This is a process used to collect data from hard-to-reach populations, for example injection drug users or HIV infected people. RDS is  used by public health agencies around the world and policy decisions are made with the results, so it is important to be able to carry out reasonable estimation with obtained data. (more…)