Presenter: Hao Sun, PhD Candidate in Statistics
Title: Mixed Graphical Model for Surveys Under Informative Design Read more about PhD Seminar: Mixed Graphical Model for Surveys Under Informative Design, Hao Sun
Presenter: Dr. Ping-Shou Zhong, University of Illinois Chicago
Time: 11:00 AM Central Time, Monday, April 25, 2022
Title: Change-point detection and identification for high-dimensional functional data Read more about Seminar: Ping-Shou Zhong, University of Illinois Chicago
Title: Building a Multiple Linear Regression Model With LEGO Brick Data
Presented By: Anna Peterson and Laura Ziegler, Iowa State University Read more about Anna Peterson & Laura Ziegler, "Building a Multiple Linear Regression Model With LEGO Brick Data"
Presenter: Dr. Wen Zhou, Colorado State University
Time: 11:00 AM Central Time, Monday, April 18, 2022
Title: Integrative Group Factor Model for Variable Clustering on Temporally Dependent Date: Optimality and Algorithm Read more about Wen Zhou, Colorado State: Integrative Group Factor Model for Variable Clustering on Temporally Dependent Date: Optimality and Algorithm
Location: Snedecor 1109 (live stream available at https://iastate.zoom.us/j/91269172339?pwd=M2xMSUJxZkxxWm9FcEdhbTNhODJOdz09)
Presenter: Miranda Tilberg, PhD Candidate in Statistics
Title: Confidence intervals for the utilization distribution overlap index (UDOI) Read more about PhD Seminar: Miranda Tilberg, "Confidence intervals for the utilization distribution overlap index (UDOI)"
Presenter: Dr. Leah R. Johnson, Virginia Tech University
Time: 11:00 AM Central Time, Monday, April 11, 2022
Title: Strategic vs Tactical Modeling Approaches to Predicting Mosquito-borne Disease in the Americas Read more about Leah R. Johnson, Virginia Tech: "Strategic vs Tactical Modeling Approaches to Predicting Mosquito-borne Disease in the Americas"
Date: Wednesday, April 6, 2022
Time: 8:15 AM CDT
Zoom link: Please click this URL to start or join. https://iastate.zoom.us/j/91558404255?pwd=TkhhbUNJN1hUSEJpTjAzbEtQbU5pUT09
Or, go to https://iastate.zoom.us/join and enter meeting ID: 915 5840 4255 and password: 010136 Read more about PhD Seminar: Audrey McCombs
Presenter: Dr. Alexander Strang, University of Chicago
Time: 11:00 AM Central Time, Monday, April 4, 2022
Title: From Local to Global Structure in Random Edge Flows Read more about Alexander Strang, University of Chicago: From local to global structure in random edge flows
Presenter: Dr. Xiangqin Cui, Emory University
Time: 11:00 AM Central Time, Monday, March 28, 2022
Title: VA Electronic Medical Records for Research – Challenges and Opportunities Read more about Xiangqin Cui, Emory University: VA Electronic Medical Records for Research – Challenges and Opportunities
Abstract: We introduce a nonparametric graphical model for discrete node variables based on additive conditional independence. Additive conditional independence is a three-way statistical relation that shares similar properties with conditional independence by satisfying the semi-graphoid axioms. Based on this relation we build an additive graphical model for discrete variables that does not suffer from the restriction of a parametric model such as the Ising model. Read more about Lingzhou Xue, Penn State University: An Additive Graphical Model for Discrete Data
Stat-ers academic and professional development event:
Visit from Samuel Benidt ISU Alum
Senior Decision Science Consultant at Walt Disney
Read more about Stat-ers academic and professional development event
Abstract: Robust control charts for percentiles based on location-scale family of distributions are proposed. In the construction of control charts for percentiles, when the underlying distribution of the quality measurement is unknown, we study the problem of discriminating different possible candidate distributions in the location-scale family of distributions and obtain control charts for percentiles which are insensitive to model mis-specification. Read more about Yuhlong Lio, University of South Dakota: Robust Control Charts for Percentiles Based on Location-Scale Family of Distributions
Abstract: Most organisms exhibit various endogenous oscillating behaviors which provide crucial information as to how the internal biochemical processes are connected and regulated. Understanding the molecular mechanisms behind these oscillators requires interdisciplinary efforts combining both biological and computer experiments, as the latter can complement the former by simulating perturbed conditions with higher resolution. Read more about Won Chang, University of Cincinnati: Bayesian Model Calibration and Sensitivity Analysis for Oscillating Biological Experiments
Presenter: Dr. Arni Rao, Medical College of Georgia and Department of Mathematics, Augusta University
Time: 11:00 AM Central Time, Monday, Feb 21, 2022
Title: Topology and analysis of SARS-CoV-2 Read more about Arni Rao, Augusta University: Topology and analysis of SARS-CoV-2
Abstract: The probabilistic topic model imposes a low-rank structure on the expectation of the corpus matrix. Therefore, singular value decomposition (SVD) is a natural tool of dimension reduction. We propose an SVD-based method for estimating a topic model. Our method constructs an estimate of the topic matrix from only a few leading singular vectors of the corpus matrix, and has a great advantage in memory use and computational cost for large-scale corpora. Read more about Seminar: Tracy Ke, Harvard
