Year |
Citation |
Score |
2020 |
Liao JG, Berg A, McMurry TL. A Robustified Posterior for Bayesian Inference on a Large Number of Parallel Effects The American Statistician. 1-14. DOI: 10.1080/00031305.2019.1701549 |
0.517 |
|
2018 |
McMurry TL, Politis DN. Estimating MA Parameters through Factorization of the Autocovariance Matrix and an MA-Sieve Bootstrap: ESTIMATING MA PARAMETERS AND MA-SIEVE BOOTSTRAP Journal of Time Series Analysis. 39: 433-446. DOI: 10.1111/Jtsa.12296 |
0.542 |
|
2017 |
Poplin GS, McMurry TL, Forman JL, Ash J, Parent DP, Craig MJ, Song E, Kent R, Shaw G, Crandall J. Development of thoracic injury risk functions for the THOR ATD. Accident; Analysis and Prevention. 106: 122-130. PMID 28601748 DOI: 10.1016/J.Aap.2017.05.007 |
0.313 |
|
2015 |
McMurry TL, Poplin GS. Statistical considerations in the development of injury risk functions. Traffic Injury Prevention. 16: 618-26. PMID 25551192 DOI: 10.1080/15389588.2014.991820 |
0.302 |
|
2015 |
Meyer M, McMurry T, Politis D. Baxter’s inequality for triangular arrays Mathematical Methods of Statistics. 24: 135-146. DOI: 10.3103/S1066530715020040 |
0.57 |
|
2015 |
McMurry TL, Politis DN. Rejoinder of “High-dimensional autocovariance matrices and optimal linear prediction” Electronic Journal of Statistics. 9: 811-822. DOI: 10.1214/15-Ejs1000Rej |
0.519 |
|
2015 |
McMurry TL, Politis DN. High-dimensional autocovariance matrices and optimal linear prediction Electronic Journal of Statistics. 9: 753-788. DOI: 10.1214/15-Ejs1000 |
0.563 |
|
2014 |
Liao JG, Mcmurry T, Berg A. Prior robust empirical Bayes inference for large-scale data by conditioning on rank with application to microarray data. Biostatistics. 15: 60-73. PMID 23934072 DOI: 10.1093/Biostatistics/Kxt026 |
0.554 |
|
2012 |
McMurry TL, Politis DN, Romano JP. Subsampling Inference with K Populations and a Non-standard Behrens-Fisher Problem International Statistical Review. 80: 149-175. DOI: 10.1111/J.1751-5823.2012.00177.X |
0.557 |
|
2012 |
Berg A, McMurry T, Politis DN. Testing Time Series Linearity. Traditional and Bootstrap Methods Handbook of Statistics. 30: 27-42. DOI: 10.1016/B978-0-444-53858-1.00002-8 |
0.641 |
|
2010 |
Kim BR, McMurry T, Zhao W, Wu R, Berg A. Wavelet-based functional clustering for patterns of high-dimensional dynamic gene expression. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology. 17: 1067-80. PMID 20726793 DOI: 10.1089/Cmb.2009.0270 |
0.506 |
|
2010 |
Li N, McMurry T, Berg A, Wang Z, Berceli SA, Wu R. Functional clustering of periodic transcriptional profiles through ARMA(p,q). Plos One. 5: e9894. PMID 20419127 DOI: 10.1371/Journal.Pone.0009894 |
0.492 |
|
2010 |
McMurry TL, Politis DN. Banded and tapered estimates for autocovariance matrices and the linear process bootstrap Journal of Time Series Analysis. 31: 471-482. DOI: 10.1111/J.1467-9892.2010.00679.X |
0.57 |
|
2010 |
Berg A, McMurry TL, Politis DN. Subsampling p-values Statistics and Probability Letters. 80: 1358-1364. DOI: 10.1016/J.Spl.2010.04.018 |
0.638 |
|
2008 |
McMurry TL, Politis DN. Bootstrap confidence intervals in nonparametric regression with built-in bias correction Statistics and Probability Letters. 78: 2463-2469. DOI: 10.1016/J.Spl.2008.02.032 |
0.573 |
|
2004 |
McMurry TL, Politis DN. Nonparametric regression with infinite order flat-top kernels Journal of Nonparametric Statistics. 16: 549-562. DOI: 10.1080/10485250310001622596 |
0.57 |
|
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