Academic Report No. 30: Modelling and Analysis of Spatially Correlated Event Time Data using Dynamic Modeling and Geostatistical Formulation

School of Mathematical Sciences Academic Report [2025] No. 030  

(High-Level University Construction Series Report No. 1053)  

Lecture Title: Modelling and Analysis of Spatially Correlated Event Time Data using Dynamic Modeling and Geostatistical Formulation

Speaker: Prof. Akim Adekpedjou (Missouri University of Science and Technology)  

Date & Time: 10:00–11:00 AM, Wednesday, May 14, 2025  

Venue: International Conference Hall A  

Abstract: Consider units located at n spatially correlated geographical areas described by their longitude and latitude in a two-dimensional surface. The locations are monitored by the occurrence of an event such as pandemic, epidemic, migration, to name a few. We consider two scenarios. The first one is where one unit is located in the area and the event of interest is allowed to recur over a random monitoring window.  The other scenario is when many units are located in one area and each one is allowed to experience the event one time or being censored. In each case, data on event times as well possibly time varying covariates are collected. The data is analyzed using counting processes and geostatistical formulation that led to a class of weighted pairwise semiparametric estimating functions.  We outline how the parameters of the involved models which include regression type as well spatial correlation are estimated; and their asymptotic properties obtained. Results of simulation studies and real data applications that well describes each scenario are presented.

Additionally, this talk will introduce the admission information of the graduate programs at Missouri University of Science and Technology (Missouri S&T).  

Biography: Dr. Adekpedjou attended the University of South Carolina where he received a PhD in Statistics in 2007 under the supervision of Dr. Edsel Pena. He then joined the faculty at Missouri University of Science and Technology (Missouri S&T) (formerly University of Missouri-Rolla). He was promoted to the rank of Professor of Statistics in 2020.Dr. Adekpedjou research interests include survival analysis, recurrent events, reliability theory, complex survey data, multiple hypotheses testing, and actuarial science. Dr. Adekpedjou is the Director of the Actuarial Science program at Missouri S&T and the Graduate Director. He has advised many MS and 8 PhD students. He has published in top journals such as: Scandinavian Journal of Statistics, Canadian Journal of Statistics, Journal of Statistical planning and Inference to name a few.

All faculty and students are welcome to attend!

Invited by: He Haijin

School of Mathematical Sciences  

April 30, 2025