Data Science Symposium - Statistical Analysis of Distirbutional Data

Open the flyer as a PDF

Book of Abstracts

Program

TimeSpeaker / Title
09:20–09:30Boris Béranger (UNSW Sydney) - Opening remarks
09:30–10:00Lynne Billard (University of Georgia) - Analyses of Contemporary Data Sets
10:00-10:30Jennifer Le-Rademacher (Mayo Clinic) - Symbolic Data Methods for Evaluating Center-Level Factors in Care Delivery Research.
10:30-11:00Break
11:00-11:30Hanlin Shang (Macquarie University) — Visualizing and forecasting subnational life-table death counts: Gap forecasting methods.
11:30-12:00Jake Olivier (UNSW Sydney) — Meta-analysis using the Ex-Gaussian Distribution.
12:00-12:30Takuro Matsubara (Univeristy of Sydney) — Wasserstein Exponential Smoothing
12:30-13:00Conor Murphy (UNSW Sydney) - Bayesian mixture models for ultrafine particle concentrations using histogram-valued data
13:00-14:00Lunch
14:00-14:30S. Yaser Samadi (Southern Illinois University) — Heteroscedastic Interval-Valued Autoregressive Models
14:30-15:00Jaejik Kim (Sungkyunkwan University) — Random Forests for Histogram-valued Responses with Symbolic Mixed-type Predictors
15:00-15:30Break
15:30-16:00Atefeh Zamani (UNSW Sydney) — A Convex Hull Approach to H-Valued Interval-Valued Time Series
16:00-16:30Jiaxen Xu (Macquarie University) — Spherically Embedded Time Series with Unknown Trend and Periodic Com- ponents
16:30-17:00Kai (David) Du (University of Wollongong) — Spatial Stochastic Frontier Model with Latent Classes