| Year | Citation | Score | |||
|---|---|---|---|---|---|
| 2017 | Cowles MK, Bonett S, Seedorff M. Independent sampling for Bayesian normal conditional autoregressive models with OpenCL acceleration Computational Statistics. 33: 159-177. DOI: 10.1007/S00180-017-0752-0 | 0.416 | |||
| 2010 | Bayman EO, Chaloner K, Cowles MK. Detecting qualitative interaction: a Bayesian approach. Statistics in Medicine. 29: 455-63. PMID 19950107 DOI: 10.1002/Sim.3787 | 0.582 | |||
| 2009 | Cowles MK, Yan J, Smith B. Reparameterized and marginalized posterior and predictive sampling for complex Bayesian geostatistical models Journal of Computational and Graphical Statistics. 18: 262-282. DOI: 10.1198/Jcgs.2009.08012 | 0.469 | |||
| 2008 | Zhang W, Chaloner K, Cowles MK, Zhang Y, Stapleton JT. A Bayesian analysis of doubly censored data using a hierarchical Cox model. Statistics in Medicine. 27: 529-42. PMID 17694594 DOI: 10.1002/Sim.3002 | 0.313 | |||
| 2008 | Smith BJ, Yan J, Cowles MK. Unified geostatistical modeling for data fusion and spatial heteroskedasticity with R package ramps Journal of Statistical Software. 25: 1-21. DOI: 10.18637/Jss.V025.I10 | 0.41 | |||
| 2007 | Smith BJ, Cowles MK. Correlating point-referenced radon and areal uranium data arising from a common spatial process Journal of the Royal Statistical Society. Series C: Applied Statistics. 56: 313-326. DOI: 10.1111/J.1467-9876.2007.00579.X | 0.395 | |||
| 2007 | Yan J, Cowles MK, Wang S, Armstrong MP. Parallelizing MCMC for Bayesian spatiotemporal geostatistical models Statistics and Computing. 17: 323-335. DOI: 10.1007/S11222-007-9022-2 | 0.345 | |||
| 2004 | Cowles MK. Review of winBUGS 1.4 American Statistician. 58: 330-336. DOI: 10.1198/000313004X8515 | 0.403 | |||
| 2004 | Bognar MA, Cowles MK. Bayesian inference for pairwise interacting point processes Statistics and Computing. 14: 109-117. DOI: 10.1023/B:Stco.0000021409.73461.B9 | 0.513 | |||
| 2003 | Cowles MK. Efficient model-fitting and model-comparison for high-dimensional Bayesian geostatistical models Journal of Statistical Planning and Inference. 112: 221-239. DOI: 10.1016/S0378-3758(02)00335-X | 0.392 | |||
| 2002 | Cowles MK. Bayesian estimation of the proportion of treatment effect captured by a surrogate marker. Statistics in Medicine. 21: 811-34. PMID 11870819 DOI: 10.1002/Sim.1057 | 0.48 | |||
| 2002 | Cowles MK, Zimmerman DL, Christ A, McGinnis DL. Combining snow water equivalent data from multiple sources to estimate spatio-temporal trends and compare measurement systems Journal of Agricultural, Biological, and Environmental Statistics. 7: 536-557. DOI: 10.1198/108571102753 | 0.312 | |||
| 2002 | Cowles MK. MCMC sampler convergence rates for hierarchical normal linear models: A simulation approach Statistics and Computing. 12: 377-389. DOI: 10.1023/A:1020700515208 | 0.406 | |||
| 1999 | Cowles MK, Roberts GO, Rosenthal JS. Possible biases induced by MCMC convergence diagnostics Journal of Statistical Computation and Simulation. 64: 87-104. DOI: 10.1080/00949659908811968 | 0.432 | |||
| 1998 | Cowles MK, Rosenthal JS. A simulation approach to convergence rates for Markov chain Monte Carlo algorithms Statistics and Computing. 8: 115-124. DOI: 10.1023/A:1008982016666 | 0.332 | |||
| 1996 | Cowles MK, Carlin BP. Markov Chain Monte Carlo Convergence Diagnostics: A Comparative Review Journal of the American Statistical Association. 91: 883-904. DOI: 10.1080/01621459.1996.10476956 | 0.33 | |||
| 1996 | Cowles MK. Accelerating Monte Carlo Markov chain convergence for cumulative-link generalized linear models Statistics and Computing. 6: 101-111. | 0.322 | |||
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