How to Improve Prediction Accuracy in the Analysis of Computer Experiments: Exploitation of Low-Order Effects and Dimensional Analysis
Tuesday, October 27, 2020 - 11:00 to 12:00
Speaker
Alexi Rodríguez-Arelis, PhD student, UBC Statistics
Location
Zoom*
Penalized empirical likelihood inference for abundance from capture-recapture data
Tuesday, November 17, 2020 - 11:00 to 12:00
Speaker
Pengfei Li, Professor, Department of Statistics and Actuarial Science, University of Waterloo
Location
Zoom*
Point process models for sequence detection in neural spike trains
Tuesday, November 3, 2020 - 11:00 to 12:00
Speaker
Scott Linderman, assistant professor of Statistics and Computer Science, Stanford University.
Location
Zoom*
New challenges in phylogenetic inference
Tuesday, November 10, 2020 - 11:00 to 12:00
Speaker
Claudia Solis-Lemus, Wisconsin Institute for Discovery, Department of Plant Pathology, University of Wisconsin-Madison
Location
Zoom*
Bayesian adjustment for preferential testing in estimating infection fatality rates: Theory and methods as motivated by the COVID-19 pandemic
Tuesday, September 29, 2020 - 11:00 to 12:00
Speaker
Harlan Campbell, Postdoctoral Research Fellow in Statistics at UBC
Location
Zoom*
CANSSI National Seminar Series: September speaker, Ruth King
Thursday, September 24, 2020 - 10:00 to 11:15
Speaker
Ruth King, Thomas Bayes’ Chair of Statistics at the University of Edinburgh
Location
via Zoom (to register, see CANSSI website)
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
Tuesday, May 19, 2020 - 11:00 to 12:00
Speaker
Albert Kim, Assistant Professor of Statistical & Data Sciences, Smith College
Location
Zoom
van Eeden seminar: Calcium imaging, clustering, and corncob
Tuesday, March 3, 2020 - 11:00 to 12:00
Speaker
van Eeden Invited Speaker Daniela Witten, Professor of Statistics and Biostatistics at University of Washington, and the Dorothy Gilford Endowed Chair in Mathematical Statistics
Location
Lecture Room 4, Woodward IRC Building, 2194 Health Sciences Mall
Adapting black-box machine learning methods for causal inference
Tuesday, January 28, 2020 - 11:00 to 12:00
Speaker
Victor Veitch, Department of Statistics, Columbia University
Location
Room 4192, Earth Sciences Building (2207 Main Mall)
Valid post-selection inference: Why and How
Thursday, January 23, 2020 - 11:00 to 12:00
Speaker
Arun Kumar Kuchibhotla, The Wharton School, University of Pennsylvania
Location
Room 4192, Earth Sciences Building (2207 Main Mall)
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