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ORCIDMary Kathryn Cowles
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2010 – 2019
- 2018
[j7]Mary Kathryn Cowles
, Stephen Bonett, Michael Seedorff:
Independent sampling for Bayesian normal conditional autoregressive models with OpenCL acceleration. Comput. Stat. 33(1): 159-177 (2018)
2000 – 2009
- 2008
- [j6]Shaowen Wang, Mary Kathryn Cowles, Marc P. Armstrong:
Grid computing of spatial statistics: using the TeraGrid for Gi*(d) analysis. Concurr. Comput. Pract. Exp. 20(14): 1697-1720 (2008) - 2007
- [j5]Jun Yan, Mary Kathryn Cowles, Shaowen Wang, Marc P. Armstrong:
Parallelizing MCMC for Bayesian spatiotemporal geostatistical models. Stat. Comput. 17(4): 323-335 (2007) - 2004
- [j4]Matthew A. Bognar, Mary Kathryn Cowles:
Bayesian inference for pairwise interacting point processes. Stat. Comput. 14(2): 109-117 (2004) - 2002
- [j3]Mary Kathryn Cowles:
MCMC Sampler Convergence Rates for Hierarchical Normal Linear Models: A Simulation Approach. Stat. Comput. 12(4): 377-389 (2002)
1990 – 1999
- 1998
- [j2]Mary Kathryn Cowles, Jeffrey S. Rosenthal:
A simulation approach to convergence rates for Markov chain Monte Carlo algorithms. Stat. Comput. 8(2): 115-124 (1998) - 1996
- [j1]Mary Kathryn Cowles:
Accelerating Monte Carlo Markov chain convergence for cumulative-link generalized linear models. Stat. Comput. 6(2): 101-111 (1996)
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