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17 February 2023 Tristan Holmes duration 58 minutes 20 seconds 17 February 2023 Tristan Holmes 17 February 2023 Tristan Holmes	17 February 2023 Tristan Holmes Systems Science Friday Noon Seminar Feb 17, 2023 genes expression gene algorithm study score survival cancer signature process patients end bit test step analysis matrix model samples metagenomes From Wayne Wakeland 4 plays 0
2018 Nov 2, Lalit Jain, University of Washington… duration 55 minutes 59 seconds 2018 Nov 2, Lalit Jain, University of Washington… 2018 Nov 2, Lalit Jain, University of Washington Ordinal embedding	2018 Nov 2, Lalit Jain, University of Washington Ordinal embedding Lalit Jain, University of Washington Ordinal embedding The standard problem of metric ordinal embedding concerns learning the embedding of n objects into a d dimensional Euclidean space by asking… maseeh mathematics + statistics colloquium distance points matrix thing triples question embedding things problem model questions rank triplets delta theorem bit kernel distances picture differences From Kathie Leck 9 plays 0
2018 Nov 16, Luka Grubišić, University of… duration 56 minutes 44 seconds 2018 Nov 16, Luka Grubišić, University of… 2018 Nov 16, Luka Grubišić, University of Zagreb, Constrained PDE models on metric graphs: should we let the linear algebra solver do the heavy lifting?	2018 Nov 16, Luka Grubišić, University of Zagreb, Constrained PDE models on metric graphs: should we let the linear algebra solver do the heavy lifting? Luka Grubišić, University of Zagreb Constrained PDE models on metric graphs: should we let the linear algebra solver do the heavy lifting? In this talk we present two 1D models of an… maseeh mathematics + statistics colloquium model space stent problem error 3d thing matrix things constraints geometry formulation condition constraint convergence solution bit linear inf stents From Kathie Leck 5 plays 0
2019 May 10, Tavis Abrahamsen, Duke University… duration 38 minutes 51 seconds 2019 May 10, Tavis Abrahamsen, Duke University… 2019 May 10, Tavis Abrahamsen, Duke University Convergence analysis of MCMC samplers for Bayesian linear mixed models with p N	2019 May 10, Tavis Abrahamsen, Duke University Convergence analysis of MCMC samplers for Bayesian linear mixed models with p N Tavis Abrahamsen, Duke University Convergence analysis of MCMC samplers for Bayesian linear mixed models with p > N For the Bayesian version of the General Linear Mixed Model (GLMM), it is… maseeh mathematics + statistics colloquium chain markov sampler model distribution density effects gibbs sample theta probability matrix drift function lot estimate observations parameters lambdas components From Kathie Leck 58 plays 0