SMAC Talk - Alexei Novikov |
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SMAC Talk - An Introduction to Statistical Shape Analysis and its Applications |
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SMAC Talk - Discrete space data augmentation for inference in stochastic spatial metapopulation epidemic models |
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SMAC Talk - Does the Machine Learning-based Multi-Model Ensemble Method improve the skill of the seasonal prediction? |
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SMAC Talk - Ethan Fang |
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SMAC Talk - Flexible Modeling of Spatial Extremes on Datasets with Many Locations |
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SMAC Talk - How predictable are tornadoes? |
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SMAC Talk - Jia Li |
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SMAC Talk - Joint estimation of graphical models by neighborhood selection |
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SMAC Talk - Lixiang Zhang |
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SMAC Talk - Medha Uppala |
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SMAC Talk - Patrick Drew |
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SMAC Talk - Scalable Multinomial Logistic-Normal Models for the Analysis of Biological Sequence Count Data |
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SMAC Talk - Statistical challenges and opportunities in the analysis of lab-generated neutral evolution protein data |
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SMAC Talk - Statistical issues in the Analysis of Neuroimaging Data |
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SMAC Talk - Stephen Berg |
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SMAC Talk - The Big Data Constitution |
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SMAC Talk - Topological Data Analysis |
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SMAC Talk - Training Word Representations with a Bayesian Change Point Objective |
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SMAC Talk - Xiang Gao |
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SMAC Talks - Fall 2012 |
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SMAC Talks - Fall 2013 |
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SMAC Talks - Fall 2014 |
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SMAC Talks - Fall 2015 |
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SMAC Talks - Fall 2016 |
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SMAC Talks - Fall 2017 |
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SMAC Talks - Fall 2018 |
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SMAC Talks - Fall 2019 |
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SMAC Talks - Fall 2020 |
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SMAC Talks - Fall 2021 |
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SMAC Talks - Fall 2022 |
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SMAC Talks - Fall 2023 |
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SMAC Talks - Fall 2024 |
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SMAC Talks - Spring 2013 |
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SMAC Talks - Spring 2014 |
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SMAC Talks - Spring 2015 |
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