Seminars
Upcoming Seminars
| Speaker | Title (Click for details) | Time |
|---|---|---|
| Stephen Bates | Distribution-Free, Risk-Controlling Prediction Sets | Apr 23rd, 2021 3:30 pm |
| Stephen Walker | Martingale Posterior Distributions | Apr 30th, 2021 3:30 pm |
| Eardi Lila | Functional Random-Effects Modeling of Brain Shape and Connectivity | May 7th, 2021 3:30 pm |
| Trevor Campbell, Alex Luedtke | Joint Colloquium with UBC & UW | May 14th, 2021 3:30 pm |
| Shubhadeep Chakraborty | High-dimensional Change-point Detection Using Generalized Homogeneity Metrics | May 21st, 2021 3:30 pm |
| Irina Gaynanova | Truncated Latent Gaussian Copula Model for Zero-Inflated Data | May 28th, 2021 3:30 pm |
| Iain Carmichael | The Folded Concave Laplacian Spectral Penalty Learns Block Diagonal Sparsity Patterns with the Strong Oracle Property | Jun 4th, 2021 3:30 pm |
Past Seminars
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Shuheng Zhou | Computational and Statistical Convergence for Graph Estimation: A General Framework | Feb 3rd, 2017 |
| Speaker | Time | Sponsor | |
|---|---|---|---|
| No Seminar | Jan 27th, 2017 | ||
| Jeremy Mark Tantrum | Statistics at Google | Jan 20th, 2017 | |
| Cun-Hui Zhang | Beyond Gaussian Approximation: Bootstrap in Large Scale Simultaneous Inference | Jan 13th, 2017 |
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Laura Hatfield | Modeling hierarchical variance with Kronecker structure, with application to quality measures in Medicare Advantage | Nov 18th, 2016 | |
| Sanjay Chaudhuri | Hamiltonian Monte Carlo in Bayesian Empirical Likelihood Computation | Nov 8th, 2016 | |
| Sandrine Dudoit | Using Single-Cell Transcriptome Sequencing to Infer Olfactory Stem Cell Fate Trajectories | Nov 4th, 2016 |
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Mark Schervish | Modelling Market Microstructure | Oct 28th, 2016 | |
| Ming Yuan | Low rank tensor completion | Oct 21st, 2016 | |
| Tamas Rudas | On generalizations of the log-linear model | Oct 14th, 2016 | |
| Mathias Drton | A Bayesian information criterion for singular models | Oct 7th, 2016 |
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Zack Almquist | Using Radical Environmentalist Texts to Uncover Network Structure and Network Features | May 20th, 2016 | |
| Venkat Chandrasekaran | Latent-variable graphical modeling via convex optimization | May 13th, 2016 | |
| Cosma Shalizi | Nonparametric Estimation and Comparison for Networks | May 6th, 2016 |
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Eduardo Gutiérrez Peña | Measures of niche overlap in Ecology | Apr 29th, 2016 | |
| Yang Liu | Conquering the Complexity of Time: Mining from Big Time Series Data | Apr 22nd, 2016 | |
| David Matteson | A Bayesian Multivariate Functional Dynamic Linear Model | Apr 15th, 2016 | |
| Frederick Matsen | The adaptive immune system: a grand and beautiful stochastic process | Apr 8th, 2016 | |
| Mathias Drton | A Bayesian information criterion for singular models | Apr 7th, 2016 |
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Zaid Harchaoui | New Adaptive Approaches for Change-Point Detection | Feb 22nd, 2016 |