Grant Awarded to Andee Kaplan
The goal of this project is to develop a major methodological advancement in the Bayesian entity resolution literature with the extension of current work on streaming record linkage. The new work will allow for a data scenario where duplicates exist within a database (de-duplication) rather than being restricted to duplicates across databases (record linkage). We use recursive Bayes ideas to have near real time updates as more data becomes available (i.e., the streaming context).
Streaming Record Linkage for Online Data Deduplication (North Carolina State University Laboratory for Analytic Sciences). PI: Kaplan and Betancourt ($130,351.57; CSU: $90,623.57). Calendar Year 2021
Congratulations to our CNS Award Winners!
Congratulations Jana and Alex!
Wen Zhou Elected as ISI Member
Statistics Department's Bailey Fosdick and Alex Fout Assist with Mitigation Surveillance of COVID-19 Spread
Colorado State University has a long history of investigating infectious disease outbreaks and is known for research exploring the complex interplay of pathogens, disease vectors, and the ecosystems in which transmissions occur. CSU is focused on the translation of those findings into practical solutions used by farmers, pet owners, and patients. Read more here.
Setting the Stage: Statistical Collaboration Training Videos
Training students in the art of effective statistical collaboration is essential for their applied statistics education. Challenging situations can arise in collaborations that are necessary to discuss before they occur. Julia Sharp (CSU Associate Professor), Emily Griffith (NCSU Research Associate Professor), and Megan Higgs (Critical Inference LLC and CSU Alumni), with help from Ann Hess (CSU Associate Professor), received support from the American Statistical Association Member Initiative program to create a set of 10 short videos illustrating challenging and salient topics of communication for training in statistical collaboration. Scenarios portrayed in the videos convey realistic statistical collaboration encounters. The 10 videos and accompanying materials can be used in training future statistical collaborators. The videos can be found here.
Ben Prytherch Starts CSU Statistics Book Club
Statistics Instructor and Advisor Ben Prytherch, has started the CSU Statistics Book Club! The club started in January 2019, they read and discuss interesting topics from the world of data analysis and statistics that might not be emphasized in a stats class. Their first book was Deborah Mayo’s “Statistical Inference as Severe Testing”. In fall 2019, the club read Alex Reinhart’s “Statistics Done Wrong: The Woefully Complete Guide”. For spring 2020, they are reading Judea Pearl’s “The Book of Why”. The book club is open to anyone! If you have questions about the group, or if you want to join, send an email to firstname.lastname@example.org. You can also learn more by checking out the CSU Statistics Book Club website, here. Happy reading!
Statistics Professor Honored for Expertise in Object - Oriented Data Analysis
Haonan Wang has been on the forefront of statistical analysis for nearly 20 years. He is well known in the statistics world for a variety of research areas, but his most innovative work is referred to as object-oriented data analysis. Read more…
SOGES Announces Sustainability Leadership Fellows
Lauren Hoskovec and Carrie Chennault from the CSU Statistics department were named SoGES sustainability leadership fellows. Congratulations Lauren and Carrie! Read more here.