most citedparallelMCMCcombine: An R Package for Bayesian Methods for Big Data and Analytics

11 citations · 23 across the 5 of their papers we have counts for

collaborators

5 papers

stat.AP2015

BayesSummaryStatLM: An R package for Bayesian Linear Models for Big Data and Data Science

Alexey Miroshnikov, Evgeny Savel'ev, Erin M. Conlon

Recent developments in data science and big data research have produced an abundance of large data sets that are too big to be analyzed in their entirety, due to limits on either c…

stat.AP201411 cited

parallelMCMCcombine: An R Package for Bayesian Methods for Big Data and Analytics

Alexey Miroshnikov, Erin Conlon

Recent advances in big data and analytics research have provided a wealth of large data sets that are too big to be analyzed in their entirety, due to restrictions on computer memo…

q-bio.CB20143 cited

Motile Geobacter Dechlorinators Migrate into a Model Source Zone of Trichloroethene Dense Non-aqueous Phase Liquid: Experimental Evaluation and Modeling

Jo Philips, Alexey Miroshnikov, Pieter Jan Haest +2

Microbial migration towards a trichloroethene (TCE) dense non-aqueous phase liquid (DNAPL) could facilitate the bioaugmentation of TCE DNAPL source zones. This study characterized…

math.AP20142 cited

Convergence of Variational Approximation Schemes for Elastodynamics with Polyconvex Energy

Alexey Miroshnikov, Athanasios E. Tzavaras

We consider a variational scheme developed by S. Demoulini, D. M. A. Stuart and A. E. Tzavaras [Arch. Ration. Mech. Anal. 157 (2001)] that approximates the equations of three dimen…

math.AP20147 cited

A variational approximation scheme for radial polyconvex elasticity that preserves the positivity of Jacobians

Alexey Miroshnikov, Athanasios E. Tzavaras

We consider the equations describing the dynamics of radial motions for isotropic elastic materials; these form a system of non-homogeneous conservation laws. We construct a variat…