About

Our department aims to be a diverse community engaged in areas of education and research in Statistical Theory and Methods, Data Science, Actuarial Science, Financial Mathematics, and Applied Probability; our research collaborations represent a wide range of interdisciplinary fields including environmental science, computer science, and biomedical science. We are home to the UCSB Center for Financial Mathematics and Actuarial Research, an interdisciplinary research center providing leadership in quantitative finance. We also provide consulting services through our Data Science Consulting Laboratory: DataLab

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Diversity, Equity and Inclusion

At its core, our department views diversity and inclusion as critical within our mission to educate and prepare the future workforce of data scientists and quantitative thinkers. Increasing diversity across our field is essential in creating more productive, representative, and enriching outcomes as well as innovative solutions to critical problems. We recognize that historically, the job markets and academic communities in statistical theory and methods, financial mathematics, and actuarial science have been weighted toward racial, gender, and socioeconomically privileged communities. We are dedicated to correcting this imbalance in our own community.

PSTAT Department Calendar

May 2024

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Improving understanding of life on earth through novel data and statistics
05/01/2024 - 15:30 to 16:45
 
 
Simulation-based Differentially Private Inference for Categorical Data
05/03/2024 - 15:30 to 16:30
 
 
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Transformer-Based Approaches for Time Series Forecasting
05/08/2024 - 15:30 to 16:45
 
 
 
 
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Binscatter Regressions
05/15/2024 - 15:30 to 16:30
 
 
 
 
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Community, Collaboration, and Climate
05/22/2024 - 15:30 to 16:30
 
 
 
 
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Stochastic Two-Point Boundary Value Problems and Application in Kyle-Back Model
05/29/2024 - 15:30 to 16:45
 
 
 
 

Announcements

Designing California's clean and climate resilient electricity grid for vulnerable communities

Professor Mike Ludkovski was awarded with California Climate Action Seed and...

Upcoming Seminars

Binscatter Regressions

Binscatter is a popular method for visualizing bivariate relationships and conducting informal...

  1. May 15, 2024 - 3:30pm to 4:30pm
  1. Department Seminar
Community, Collaboration, and Climate

 Jo Hardin is a Professor of Mathematics and Statistics at Pomona College. After graduating from Pomona College in 1995, she completed her PhD at UC Davis in Statistics. Her current research includes developing roust methods for high throughput data (think: genetic information), and she has an active undergraduate research group.  Jo seeks to find ways to make statistics and data science more accessible, and she recently co-authored the online and completely free introductory statistics textbook Introduction to Modern Statistics.  When not working with students or on her research, she loves running, hiking, and jigsaw puzzles.

  1. May 22, 2024 - 3:30pm to 4:30pm
  1. Department Seminar
Stochastic Two-Point Boundary Value Problems and Application in Kyle-Back Model

Department Seminar series 

  1. May 29, 2024 - 3:30pm to 4:45pm
  1. Department Seminar