Seminars 2021-22

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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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

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
  • 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
  • Tue, Jan 18, 11:10am (remote via Zoom) 
    • Speaker: Nikolaos Ignatiadis (Stanford University)
      • Title: "Nonparametric Empirical Bayes Inference"
      • ABSTRACT
  • Wed, Jan 19, 11:10am (remote via Zoom) 
    • Speaker: Xiaowu Dai (UC Berkeley)
      • Title: "Statistical Learning and Matching Markets"
      • ABSTRACT
  • 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
  • Fri, Jan 21, 11:10am (remote via Zoom) 
    • Speaker: Jeffrey Negrea (University of Toronto)
      • Title: "Adapting to failure of the IID assumption"
      • ABSTRACT
  • 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
  • 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
  • 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
  • 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
  • Fri, Jan 28, 11:10am (remote via Zoom) 
    • Speaker: Alexander Wein (Georgia Tech)
      • Title: "Understanding Statistical-vs-Computational Tradeoffs via Low-Degree Polynomials"
      • ABSTRACT
  • Mon, Jan 31, 11:10am (remote via Zoom) 
    • Speaker: Aaron Schein (Columbia University)
      • Title: "Measurement and Experimentation in Complex Sociopolitical Processes"
      • ABSTRACT
  • Tue, Feb 1, 11:10am (remote via Zoom) 
    • Speaker: Didong Li (Princeton University)
      • Title: "Multi-group Gaussian Processes"
      • ABSTRACT
  • Wed, Feb 2, 11:10am (remote via Zoom) 
    • Speaker: Weijing Tang (University of Michigan)
      • Title: "Survival Analysis via Ordinary Differential Equations"
      • ABSTRACT
  • 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
  • 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

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
  • 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
  • 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
  • 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
  • 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
  • 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
  • Thur, May 19, 4:10pm - MSB 1147 
    • Speaker: Qiwei Yao (Statistics, London School of Economics)
      • Title: "Autoregressive Networks"
      • ABSTRACT
  • 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
  • Thur, June 2, 4:10pm 
    • 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