10/3: Jessica (Jingyi) Li, Department of Statistics, UCLA
Abstract: The rapid development of genomics technologies has propelled fast advances in genomics data science. While new computational algorithms have been continuously developed to address cutting-edge biomedical questions, a critical but largely overlooked aspect is the statistical rigor. In this talk, I will introduce our recent work that aims to enhance statistical rigor by addressing three issues:
1. large-scale feature screening (i.e., enrichment and differential analysis of high-throughput data) relying on ill-posed p-values;
2. double-dipping (i.e., statistical inference on biasedly altered data);
3. gaps between black-box generative models and statistical inference.
10/10: Luca Mazzucato, Department of Mathematics and Biology, University of Oregon
Abstract: Animal behavior exhibits a striking amount of variability in the temporal domain along at least three independent axes: hierarchical, contextual, and stochastic. First, a vast hierarchy of timescales links movements into behavioral sequences and long-term activities, from milliseconds to minutes. Second, action timing can be modulated by changes in context, of either internal (neuromodulatory, state-dependent) or external origin. Third, self-initiated actions exhibit large residual variability across repetitions, with signatures of stochastic origin. What computational principles underlie such complex temporal features? We will present the foundation of a theory of temporal variability in behavior and neural activity, based on metastable attractors observed in sensory and motor cortical areas. We will highlight the essential role played by intrinsic noise and heterogeneities in controlling the features of temporal variability.
10/17: Hao Chen, Department of Statistics, UC Davis
Abstract: After observing snapshots of a network, can we tell if there has been a change in dynamics? After collecting spiking activities of thousands of neurons in the brain, how shall we extract meaningful information from the recording? We introduce a change-point analysis framework utilizing graphs representing the similarity among observations. This approach is non-parametric and can be applied to data when an informative similarity measure can be defined. Analytic approximations to the significance of the test statistics are derived to make the method fast applicable to long sequences. The method is illustrated through the analysis of the Neuropixels data.
10/24: Ali Shojaie, Department of Biostatistics, University of Washington, Seattle
Abstract: Recent evidence suggests that changes in biological networks, e.g., rewiring or disruption of key interactions, may be associated with development of complex diseases. These findings have motivated new research in computational and experimental biology that aim to obtain condition-specific estimates of biological networks, e.g. for normal and tumor samples, and identify differential patterns of connectivity in such networks, known as differential network analysis. In this talk, we primarily focus on testing whether two Gaussian graphical models are the same. We will first illustrate that existing inference procedures for this task may lead to misleading results. To address this shortcoming, we propose a two-step inference framework, for testing the null hypothesis that the edge sets in two networks are the same. The proposed framework is especially appropriate if the goal is to identify nodes or edges that show differential connectivity. Time permitting, we will also discuss how differential network analysis methods can be extended to non-Gaussian settings as well as settings where differences in network edges are functions of other covariates.
10/31: Dominik Rothenhausler, Department of Statistics, Stanford University
11/7: Karthika Mohan, EECS Department, Oregon State University
11/14: Rahul Majumder, Operations Research and Statistics Group, Sloan School of Business, MIT
11/21: Vijayan Nair, Wells Fargo
11/28: Ben Brown, Department of Statistics, UC Berkeley, and Computational Biologist, Berkeley Labs
Date and Time | Speaker/Seminar | From |
Jan 4th, No Seminar - 1st day of quarter | ||
Jan 11th, 4 PM - 5 PM | Katherine McLaughlin, Assistant Professor | Oregon State University, Statistics Dept, Corvallis, OR |
Jan 18th, No Seminar - Martin Luther King Holiday |
||
Jan 25th, 4 PM - 5 PM | Sharmodeep Bhattacharyya, Assistant Professor | Oregon State University, Statistics Dept, Corvallis, OR |
Feb 1st, 4 PM - 5 PM | Jean Opsomer, Vice President & Senior Statistical Fellow | Westat |
Feb 8th, 4 PM - 5 PM | Holly Janes, Professor of Vaccine and Infectious Diseases | Fred Hutchinson Cancer Research Center |
Feb 15th, 4 PM - 5 PM | Kathi Ivrine, Statistician | U.S. Geological Survey |
Feb 22nd, 4 PM - 5 PM | Teri Utlaut, Statistician | Intel Corporation |
Mar 1st, 4 PM - 5 PM | John Williamson, Statistician | Center for Disease Control and Prevention |
Mar 8th - No Seminars, Dead Week | ||
Mar 15th - No Seminars, Dead Week |
Date and Time | Speaker/Seminar | From |
Sept 28th, 4 PM - 5 PM | Orientation | Oregon State University, Statistics Dept |
Oct 5th, 1 PM - 2 PM | Tracy Ke, Assistant Professor | Harvard University, Statistics, Dept., Cambridge, MA |
Oct 12th, 1 PM - 2 PM | Pixu Shi, Assistant Professor | Duke University, Biostatistics and Bioinformatics, Durham, NC |
Oct 19th, 4 PM - 5 PM | Anru Zhang, Assistant Professor | University of Wisconsin at Madison, Statistics Dept., Madison, WI |
October 28th, 1 PM - 2 PM | Scott Bruce, Assistant Professor | George Mason University, Statistics Dept., Fairfax, VA |
Nov 2nd, 4 PM - 5 PM | Ali Shojaie, Professor | University of Washington, Statistics Dept Seattle, WA |
Nov 9th, 4 PM - 5 PM | Minge Xie, Professor | Rutgers University, Statistics Dept., New Brunswick, NJ |
Nov 16th, 1 PM - 2 PM | Hui Jiang, Associate Professor | University of Michigan, Biostatistics, Ann Arbor, MI |
Nov 39th, 4 PM - 5 PM | Maude David, Assistant Professor | Oregon State University, Department of Microbiology, Corvallis, OR |
Date | Speaker/Seminar | From |
September 30 | Orientation | Statistics Department |
October 7th | Amy Willis, Assistant Professor | University of Washington, Biostatistics Department, Seattle, Wa |
October 14th | Jayanth Banavar, Professor and Knight Chair of Physics | University of Oregon, Physics Department, Eugene, Or |
October 21st | Dongseok Choi, Professor | OHSU-PSU School of Public Health, Portland, Or |
October 28th | Lin Xihong, Professor | Harvard School of Public Health, Boston, Ma |
November 4th | Wendy Meiring, Professor | UC Santa Barbara, Department of Statistics and Applied Probability, Santa Barbara, Ca |
November 11th | Holiday | No Seminar |
November 18th | Mikyoung Jun, Professor | Texas A&M University, Department of Statistics, College Station, TX |
November 25th | Aditya Guntuboyina, Associate Professor | University of California, Berkeley, Department of Statistics, Berkeley, CA |
December 2nd | Dead week | No Seminar |
December 9th | Finals Week | No Seminar |
Refreshments: 3:55 pm
Seminar: 4:00 pm
Location: Milam Hall, Room 213
These seminars are free and open to the public.
Date | Speaker | From |
April 8th, 2019 | Xinping Cui, Ph.D., Professor and Chair | Department of Statistics, University of California, Riverside, California |
April 15th, 2019 | Ben Shaby, Ph.D. Assistant Professor | Department of Statistics and the Institute for CyberScience at Penn State University, University Park, Pennsylvania |
April 22nd, 2019 | Saonli Basu, Ph.D., Associate Professor | Division of Biostatistics at the University of Minnesota, Minneapolis, Minnesota |
April 24th, 2019 (Wednesday) Location to be determined | Lucas Beverlin, Ph.D. | Statistician at Intel, Corp, Hillsboro, Oregon |
April 29th, 2019 | Cindy Yu, Ph.D., Associate Professor | Department of Statistics, Center of Survey Statistics and Methodology at Iowa State University, Ames, Iowa |
May 6th, 2019 | Alvaro Munoz, Ph.D., Professor | Department of Epidemiology and Methodology at John Hopkins Bloomberg School of Public Health, Baltimore, Maryland |
May 13th, 2019 | Jackie Hughes-Oliver, Ph.D. Professor | Department of Statistics at North Carolina State University, Raleigh,North Carolina |
May 20th, 2019 | Daniel Taylor-Rodriguez, Ph.D., Assistant Professor | Fariborz Maseeh Department of Mathematics and Statistics at Portland State University, Portland, Oregon |
Refreshments: 3:55 pm
Seminar: 4:00 pm
Location: 1003 Kelley Engineering Center
These seminars are open to the public.
January 7th, 2019 | Abel Rodriguez, Ph.D., Professor of Statistics and Associate Dean at Univ. of California, Santa Cruz |
January 14th, 2019 | Stephanie Hicks, Ph.D., Johns Hopkins University |
January 21st, 2019 | Martin Luther King, Jr. Day - No Seminar |
January 23rd, 2019 | Special seminar: Dajiang Liu, Penn State University 4:00 pm |
January 28th, 2019 | Ramon Durazo, Loyola Chicago University |
January 29th, 2019 | Special Seminar: Aluisio Pinheiro, Ph.D., University of Campinas, ** 3:00 pm |
February 4th, 2019 | Eduardo Cotilla-Sanchez, Ph.D. Associate Professor at Oregon State University's School of Electrical Engineering and Computer Science |
February 11th, 2019 | Frederick Campbell, Microsoft |
February 18th, 2019 | Jane-Ling Wang, University of California, Davis |
February 25th, 2019 | Luis Tenorio, Ph.D., Associate Professor in Applied Mathematics and Statistics at Colorado School of Mines |
March 4th, 2019 | Luis Leon-Novelo, Texas Health Science Center at Houston |
March 11th, 2019 | Dead Week - No Seminar |
March 18th, 2019 | Finals Week - No Seminar |
Refreshments: 3:55 pm
Seminar: 4:00 pm
Location: 1003 Kelley Engineering Center
These seminars are open to the public.
October 1st, 2018 | Amelia McNamera, Ph.D., Assistant Professor for Department of Computer and Information Sciences at University of St. Thomas, |
October 8th, 2018 | Bryon Aragam, Ph.D., Research Scientist at Carnegie Mellon University |
October 15th, 2018 | Kathy Li, Assistant Professor of Marketing at McCombs School of Business, University of Texas at Austin |
October 22nd, 2018 | Kristen Gore, Ph.D., Hewlett Packard, Inc |
October 26th, 2018 (Friday) | Debashis Paul, Ph.D., Professor for Department of Statistics at University of California, Davis |
October 29th, 2018 | Naomi Altman, Ph.D., Professor for Department of Statistics at Penn State |
November 5th, 2018 | Andrew Bray, Ph.D., Assistant Professor of Mathematics at Reed College |
November 12th, 2018 | Veteran's Day Holiday-No Seminar |
November 19th, 2018 | To be announced |
November 26th, 2018 | Dead week - No seminar |
December 3rd, 2018 | Finals week - No seminar |
Past Seminars:
Fall 2013 | https://stat.oregonstate.edu/node/774 |
Winter 2014 | https://stat.oregonstate.edu/node/775 |
Spring 2014 | https://stat.oregonstate.edu/node/776 |
Fall 2014 | https://stat.oregonstate.edu/node/777 |
Winter 2015 | https://stat.oregonstate.edu/node/778 |
Spring 2015 | https://stat.oregonstate.edu/node/779 |
Fall 2015 | https://stat.oregonstate.edu/node/780 |
Winter 2016 | https://stat.oregonstate.edu/node/781 |
Spring 2016 | https://stat.oregonstate.edu/node/782 |
Fall 2016 | https://stat.oregonstate.edu/node/870 |
Winter 2017 | https://stat.oregonstate.edu/node/1031 |