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2019 Dec 6, Andrew Bridy, Yale University, … duration 56 minutes 33 seconds 2019 Dec 6, Andrew Bridy, Yale University, … 2019 Dec 6, Andrew Bridy, Yale University, Structure and randomness in functional graphs of polynomials over finite fields	2019 Dec 6, Andrew Bridy, Yale University, Structure and randomness in functional graphs of polynomials over finite fields Maseeh Mathematics + Statistics ColloquiumAndrew Bridy, Yale University Structure and randomness in functional graphs of polynomials over finite fieldsLet f be a polynomial with integer coefficients.… maseeh mathematics + statistics colloquium cycles thing point points polynomials graph cycle distribution polynomial density roots primes length moments structure things period functions mod field From Kathie Leck 47 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
2019 Mar 15, Jyotishka Datta, University of… duration 1 hour 4 minutes 2019 Mar 15, Jyotishka Datta, University of… 2019 Mar 15, Jyotishka Datta, University of Arkansas New directions in Bayesian sparse signal recovery	2019 Mar 15, Jyotishka Datta, University of Arkansas New directions in Bayesian sparse signal recovery Jyotishka Datta, University of Arkansas New directions in Bayesian sparse signal recovery Sparse signal recovery remains an important challenge in large scale data analysis and global-local (G-L)… maseeh mathematics + statistics colloquium theta shrinkage model horseshoe dirichlet density distribution parameter kappa penalty problem sparsity square structure idea phi probability mode lasso tau From Kathie Leck 85 plays 0