FALL 2021:
Fall Seminar Instructor: Prof. Chris Drake
- Thur, Sep 23, 4:10pm, MSB 1147: There will be a special introduction event at which Statistics faculty will introduce themselves to the students in MSB 1147, Colloquium Room. All grad students and Statistics faculty will be welcome.
- Thur, Sep 30, 4:10pm, MSB 1147 (in-person)
- Speaker: Heejung Bang (Public Health Sciences, UC Davis)
- Title: "Blinding Assessment in Clinical Trials: a review & meta-analytic approach"
- ABSTRACT
- Speaker: Heejung Bang (Public Health Sciences, UC Davis)
- Thur, Oct 7, 4:10pm, MSB 1147 (in-person):
- Speaker: Fushing Hsieh (Statistics, UC Davis)
- Title: "The geometry of colors in van Gogh's sunflowers"
- ABSTRACT
- Speaker: Fushing Hsieh (Statistics, UC Davis)
- Thur, Oct 14, 4:10pm: NO SEMINAR (cancelled)
- Thur, Oct 21, 4:10pm, MSB 1147 (in-person):
- Speaker: Xiucai Ding, Assistant Professor, Statistics, UC Davis
- Title: "Phantom hunting for machine learning: high dimensional statistical analysis of data fusion algorithms"
- ABSTRACT
- Speaker: Xiucai Ding, Assistant Professor, Statistics, UC Davis
- Thur, Oct 28, 4:10pm, MSB 1147 (in-person):
- Speaker: Mina Karzand, Assistant Professor, Statistics, UC Davis
- Title: "Representation Costs of Linear Neural Networks: Analysis and Design"
- ABSTRACT
- Speaker: Mina Karzand, Assistant Professor, Statistics, UC Davis
- Thur, Nov 4, 4:10pm, MSB 1147 (in-person):
- Speaker: Jairo Fuquene Patino, Assistant Professor, Statistics, UC Davis
- Title: "Bayesian mixture models, prior formulations and MCMC algorithms"
- ABSTRACT
- Speaker: Jairo Fuquene Patino, Assistant Professor, Statistics, UC Davis
- Thur, Nov 11: VETERANS DAY HOLIDAY (no seminar)
- Thur, Nov 18, 4:10pm - REMOTE via Zoom:
- Speaker: Zhigang Bao, Assistant Professor, Hong Kong University of Science & Technology (HKUST)
- Title: "Bayesian mixture models, prior formulations and MCMC algorithms"
- ABSTRACT
- Speaker: Zhigang Bao, Assistant Professor, Hong Kong University of Science & Technology (HKUST)
- Thur, Nov 25: THANKSGIVING HOLIDAY (no seminar)
- Thur, Dec 2, 4:10pm, MSB 1147 (in-person):
- Speaker: Bo Yu-Chien Ning, Visiting Assistant Professor, Statistics, UC Davis
- Title: "Multiscale Analysis of Bayesian Cox Piecewise Constant Hazards Model"
- ABSTRACT
- Speaker: Bo Yu-Chien Ning, Visiting Assistant Professor, Statistics, UC Davis
WINTER 2022:
Winter Seminar Instructor: Prof. Mina Karzand
- Thur, Jan 13, 4:10pm (remote via Zoom)
- Speaker: Emanuela Furfaro (Statistics, UC Davis)
- Title: "Bayesian Demography: an application to the study of sub-national migration flows"
- ABSTRACT
- Speaker: Emanuela Furfaro (Statistics, UC Davis)
- Fri, Jan 14, 11:10am (remote via Zoom)
- Speaker: Bradley Rava (University of Southern California)
- Title: "A Burden Shared is a Burden Halved: A Fairness-Adjusted Approach to Classification"
- ABSTRACT
- Speaker: Bradley Rava (University of Southern California)
- Tue, Jan 18, 11:10am (remote via Zoom)
- Speaker: Nikolaos Ignatiadis (Stanford University)
- Title: "Nonparametric Empirical Bayes Inference"
- ABSTRACT
- Speaker: Nikolaos Ignatiadis (Stanford University)
- Wed, Jan 19, 11:10am (remote via Zoom)
- Speaker: Xiaowu Dai (UC Berkeley)
- Title: "Statistical Learning and Matching Markets"
- ABSTRACT
- Speaker: Xiaowu Dai (UC Berkeley)
- Thur, Jan 20, 11:10am (remote via Zoom)
- Speaker: Ryan Giordano (MIT)
- Title: "An Automatic Finite-Sample Robustness Metric: Can Dropping a Little Data Make a Big Difference?"
- ABSTRACT
- Speaker: Ryan Giordano (MIT)
- Fri, Jan 21, 11:10am (remote via Zoom)
- Speaker: Jeffrey Negrea (University of Toronto)
- Title: "Adapting to failure of the IID assumption"
- ABSTRACT
- Speaker: Jeffrey Negrea (University of Toronto)
- Mon, Jan 24, 11:10am (remote via Zoom)
- Speaker: Lu Zhang (Columbia University)
- Title: "Spatial Factor Modeling: A Bayesian Matrix-Normal Approach for Massive Spatial Data with Missing Observations"
- ABSTRACT
- Speaker: Lu Zhang (Columbia University)
- Tue, Jan 25, 11:10am (remote via Zoom)
- Speaker: Nabarun Deb (Columbia University)
- Title: "Optimal transport in statistics and Pitman efficient multivariate distribution-free testing"
- ABSTRACT
- Speaker: Nabarun Deb (Columbia University)
- Wed, Jan 26, 11:10am (remote via Zoom)
- Speaker: Ruoqi Yu (UC Berkeley)
- Title: "Matching Methods for Observational Studies Derived from Large Administrative Databases"
- ABSTRACT
- Speaker: Ruoqi Yu (UC Berkeley)
- Thur, Jan 27, 11:10am (remote via Zoom)
- Speaker: Xiao Hui Tai (UC Berkeley)
- Title: "Mobile Phone Data Reveal the Effects of Violence on Internal Displacement"
- ABSTRACT
- Speaker: Xiao Hui Tai (UC Berkeley)
- Fri, Jan 28, 11:10am (remote via Zoom)
- Speaker: Alexander Wein (Georgia Tech)
- Title: "Understanding Statistical-vs-Computational Tradeoffs via Low-Degree Polynomials"
- ABSTRACT
- Speaker: Alexander Wein (Georgia Tech)
- Mon, Jan 31, 11:10am (remote via Zoom)
- Speaker: Aaron Schein (Columbia University)
- Title: "Measurement and Experimentation in Complex Sociopolitical Processes"
- ABSTRACT
- Speaker: Aaron Schein (Columbia University)
- Tue, Feb 1, 11:10am (remote via Zoom)
- Speaker: Didong Li (Princeton University)
- Title: "Multi-group Gaussian Processes"
- ABSTRACT
- Speaker: Didong Li (Princeton University)
- Wed, Feb 2, 11:10am (remote via Zoom)
- Speaker: Weijing Tang (University of Michigan)
- Title: "Survival Analysis via Ordinary Differential Equations"
- ABSTRACT
- Speaker: Weijing Tang (University of Michigan)
- Fri, Feb 18, 11:10am (remote via Zoom)
- Speaker: Shulei Wang (University of Illinois, Urbana-Champaign)
- Title: "Robust Differential Abundance Test in Compositional Data"
- ABSTRACT
- Speaker: Shulei Wang (University of Illinois, Urbana-Champaign)
- Thur, Mar 10, 4:10pm, MSB 1147 (remote via Zoom)
- Speaker: Brian Bullins (Toyota Technological Institute, Chicago)
- Title: "Beyond First-Order Methods for Large-Scale Optimization"
- ABSTRACT
- Speaker: Brian Bullins (Toyota Technological Institute, Chicago)
SPRING 2022:
Spring Seminar Instructor: Prof. Ethan Anderes
- Thur, March 31, 4:10pm - MSB 1147
- Speaker: Krishna Balasubramanian (Statistics, UC Davis)
- Title: "Fractal Gaussian Networks: A sparse random graph model based on Gaussian Multiplicative Chaos"
- ABSTRACT
- Speaker: Krishna Balasubramanian (Statistics, UC Davis)
- Tue, April 5, 1:10pm - remote via Zoom
- 2022 MATH / STATS JOINT COLLOQUIUM
- Speaker: Brice Ménard (Professor of Physics & Astronomy, Johns Hopkins University)
- Title: “Data Science and Science with Data”
- FLYER/ABSTRACT (links to Math Department)
- Thur, April 7, 4:10pm - MSB 1147
- Speaker: Can Le (Statistics, UC Davis)
- Title: "Network Estimation by Mixing: Adaptivity and More"
- ABSTRACT
- Speaker: Can Le (Statistics, UC Davis)
- Thur April 14, 4:10pm - MSB 1147
- Speaker: Rong Ma (Stanford University)
- Title: "Theoretical Foundations of t-SNE for Visualizing High-Dimensional Clustered Data"
- ABSTRACT
- Speaker: Rong Ma (Stanford University)
- Wed, April 20, 4:10pm - remote via Zoom
- UC DAVIS / UC BERKELEY JOINT STATISTICS COLLOQUIUM
- Speaker: Giles Hooker (Statistics, UC Berkeley)
- Title: "There is No Free Variable Importance: Traps in Interpreting Black Box Functions"
- ABSTRACT
- Thur, April 21 - no seminar
- Thur, April 28, 4:10pm - MSB 1147
- Speaker: Nikolaos Ignatiadis (Statistics, Stanford University)
- Title: "Empirical Bayes Mean Estimation With Nonparametric Errors Via Order Statistic Regression on Replicated Data"
- ABSTRACT
- Speaker: Nikolaos Ignatiadis (Statistics, Stanford University)
- Thur, May 5, 4:10pm - MSB 1147
- Speaker: Dehan Kong (Statistical Sciences, University of Toronto)
- Title: "Fighting Noise with Noise: Mendelian Randomization Studies with Pseudo Variables"
- ABSTRACT
- Speaker: Dehan Kong (Statistical Sciences, University of Toronto)
- Thur, May 12, 4:10pm - remote via Zoom
- Speaker: Joe Guinness (Statistics, Cornell University)
- Title: "Gaussian Process Computing with Vecchia's Approximation and GpGp R Package"
- ABSTRACT
- Speaker: Joe Guinness (Statistics, Cornell University)
- Thur, May 19, 4:10pm - MSB 1147
- Speaker: Qiwei Yao (Statistics, London School of Economics)
- Title: "Autoregressive Networks"
- ABSTRACT
- Speaker: Qiwei Yao (Statistics, London School of Economics)
- Thur, May 26, 4:10pm
- Speaker: Stephen Stigler (Statistics, University of Chicago)
- Title: "Casanova’s Lottery: The History of a Revolutionary Game of Chance"
- ABSTRACT
- Speaker: Stephen Stigler (Statistics, University of Chicago)
- Thur, June 2, 4:10pm
- Speaker: Matt Wand (PhD FAA, Distinguished Professor of Statistics, School of Mathematical and Physical Sciences, University of Technology Sydney.)
- Title: TBA
- ABSTRACT
- Speaker: Matt Wand (PhD FAA, Distinguished Professor of Statistics, School of Mathematical and Physical Sciences, University of Technology Sydney.)
- Fri, June 3, 11:00am - MSB 1147
- Speaker: Sanjay Chaudhuri (Associate Professor, Department of Statistics and Data Science, National University of Singapore)
- Title: "On an Empirical Likelihood-Based Solution to Approximate Bayesian Computation Problem"
- ABSTRACT
- Speaker: Sanjay Chaudhuri (Associate Professor, Department of Statistics and Data Science, National University of Singapore)