Prof. Arthur Berg

Pennsylvania State University, USA

Email: asb17@psu.edu

Qualifications

2007 Ph.D., University of California, USA

2005 M.S., University of California, USA

2002 M.A., University of Southern California, USA

2002 B.Sc., University of Southern California, USA

Publications (Selected)

1. Berg, A. (2020a). Assessing the impact of the NIH CTSA program on clinical trials registered with clinicaltrials.gov. Clinical and Translational Science, 13: 818–825.
2. Berg, A. (2020c). Bayesian statistics in the classroom: Introducing shrinkage with basketball statistics and the internet movie database. Teaching Statistics, 42: (2), 47–53.
3. Berg, A. (2020d). Statistical analysis of the Elo rating system in chess [To Appear]. CHANCE, 1–14.
4. Berg, A. (2020e). Statistical analysis of the International Mathematical Olympiad [To Appear]. The Mathematical Intelligencer.
5. Berg, A., Politis, D., Suaray, K. & Zeng, H. (2020). Reduced bias nonparametric lifetime density and hazard estimation. Test, 29: 704–727.
6. Liao, J., Berg, A. & McMurry, T. L. (2020). A robustified posterior for Bayesian inference on a large number of parallel effects [To Appear]. The American Statistician, 1–18.
7. Liao, J., Midya, V. & Berg, A. (2020). Connecting and contrasting the Bayes factor and a modified ROPE procedure for testing interval null hypotheses [To Appear]. The American Statistician, 0: (0), 1–9.
8. He, F., Berg, A., Kawasawa, Y. I., Bixler, E. O., Fernandez-Mendoza, J., Whitsel, E. A. & Liao, D. (2019). Association between DNA methylation in obesity-related genes and body mass index percentile in adolescents. Scientific reports, 9: (1), 1–8.
9. Liao, J. & Berg, A. (2019). Sharpening Jensen’s inequality. The American Statistician, 73: (3), 278–281.
10. Liao, J., Liao, D. & Berg, A. (2016). Calibrated Bayes factors in assessing genetic association models. The American Statistician, 70: (3), 250–256.
11. Liao, J., Mcmurry, T. & Berg, A. (2014). Prior robust empirical bayes inference for large-scale data by conditioning on rank with application to microarray data. Biostatistics, 15: (1), 60–73.
12. Liu, G., Chen, G., Sinoway, L. I. & Berg, A. (2013). Assessing the impact of the NIH CTSA program on institutionally sponsored clinical trials. Clinical and Translational Science, 6: (3), 196–200.
13. Berg, A., McMurry, T. & Politis, D. N. (2012). Testing time series linearity: Traditional and bootstrap methods. Handbook of Statistics, 30: 27–42.
14. Berg, A., Li, N., Tong, C., Wang, Z., Berceli, S. A. & Wu, R. (2011). Functional mapping of expression quantitative trait loci that regulate oscillatory gene expression. Methods Mol Biol, (734), 241–255.
15. Berg, A., Paparoditis, E. & Politis, D. N. (2010). A bootstrap test for time series linearity. Journal of Statistical Planning and Inference, 140: (12), 3841–3857.
16. Berg, A., He, Q., Shen, Y., Chen, Y., Huang, M. & Wu, R. (2010). Trilocus disequilibrium analysis of multiallelic markers in outcrossing populations. Statistical Applications in Genetics and Molecular Biology, 9: (1).
17. Berg, A., McMurry, T. L. & Politis, D. N. (2010). Subsampling p-values. Statistics & probability letters, 80: (17-18), 1358–1364.
18. Berg, A. & Suaray, K. (2010). Bootstrap bandwidth selection for a smooth survival function estimator from censored data. Journal of Statistical Research, 44: (2), 207.
19. Kim, B.-R., McMurry, T., Zhao, W., Wu, R. & Berg, A. (2010). Wavelet-based functional clustering for patterns of high-dimensional dynamic gene expression. Journal of Computational Biology, 17: (8), 1067–1080.
20. Abramson, I. & Berg, A. (2009). An occupancy problem arising in power law fitting. Internet Mathematics, 6: (1), 19–28.