• Speeding up MCMC by Efficient Data Subsampling 

      Quiroz, Matias; Villani, Mattias; Kohn, Robert; Tran, Minh-Ngoc
      Published 2016-01-01
      We propose Subsampling MCMC, a Markov Chain Monte Carlo (MCMC) framework where the likelihood function for n observations is estimated from a random subset of m observations. We introduce a general and highly efficient ...
      Open Access
      Pre-print
    • Matrix Neural Networks 

      Gao, Junbin; Guo, Yi; Wang, Zhiyong
      Published 2016-11-02
      Traditional neural networks assume vectorial inputs as the network is arranged as layers of single line of computing units called neurons. This special structure requires the non-vectorial inputs such as matrices to be ...
      Open Access
      Working Paper
    • Estimation of Hierarchical Archimedean Copulas as a Shortest Path Problem 

      Matsypura, Dmytro; Neo, Emily; Prokhorov, Artem
      Published 2016-04-16
      We formulate the problem of finding and estimating the optimal hierarchical Archimedean copula as an amended shortest path problem. The standard network flow problem is amended by certain constraints specific to copulas, ...
      Open Access
      Working Paper
    • Efficient estimation of parameters in marginal in semiparametric multivariate models 

      Panchenko, Valentyn; Prokhorov, Artem
      Published 2016-03-01
      We consider a general multivariate model where univariate marginal distributions are known up to a common parameter vector and we are interested in estimating that vector without assuming anything about the joint distribution, ...
      Open Access
      Working Paper
    • Fast Inference for Intractable Likelihood Problems using Variational Bayes 

      Gunawan, David; Tran, Minh-Ngoc; Kohn, Robert
      Published 2016-03-30
      Variational Bayes (VB) is a popular statistical method for Bayesian inference. The existing VB algorithms are restricted to cases where the likelihood is tractable, which precludes their use in many interesting models. ...
      Open Access
      Working Paper