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Po Yang

Profile
Po Yang
Assoc. Head (Graduate) / Associate Professor
Po.Yang@umanitoba.ca

Research and Teaching Interests

Experimental designs, optimal designs, Bayesian approach, clinical trial designs, and statistics applications.

Curriculum Vitae

Graduate Student Supervision

  • Xiaohua Liu, PhD in Statistics (current)
  • Nasiba Ahmed, MSc in Statistics (current)
  • Shanika Basnayake, MSc in Statistics (current)
  • Weijia Zhang, PhD in Statistics (2019), co-supervisor: S. Muthukumarana
  • Bowei Yang, MSc in Statistics (2019)
  • Dianwei Huang, MSc in Statistics (2017)
  • Weijia Zhang, MSc in Statistics (2016)
  • Faisal Atakora, MSc in Statistics (2016)
  • Jingjing Hu, MSc in Statistics (2015)

Conference Presentations (Since 2008)

  • Some Properties of Foldover Designs with Column Permutations. Conference on Experimental Design and Analysis, Hsinchu, Taiwan, December 13-15, 2018.
  • Minimum contamination and beta-aberration criteria for screening quantitative factors. WNAR/IMS 2018 Meeting, Edmonton, June 24-27, 2018.
  • Minimum contamination and beta-aberration criteria for screening quantitative factors. Joint Research Conference on Statistics in Quality, Industry, and Technology, Santa Fe, New Mexico, June 11-14, 2018.
  • Foldover designs with column permutations. 45th Annual Meeting of the Statistical Society of Canada, Winnipeg, June 11-14, 2017.
  • Some properties of optimal foldover designs with column permutations. 9th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2016), University of Seville, Spain, Dec. 9-11, 2016.
  • Blocked semifoldovers of two-level orthogonal designs. Ordered Data and their Applications in Reliability and Survival Analysis, McMaster University, Hamilton, August 7-10, 2016.
  • Split-plot definitive screening designs for response surface methodology. 8th International Workshop on Applied Probability (IWAP 2016), Toronto, June, 20-23, 2016.
  • Blocked semifoldovers of two-Level orthogonal designs. 8th International Conference of the ERCIM WG on Computational and Methodological Statistics (ERCIM 2015), University of London, UK, December 12-14, 2015.
  • Response surface methodology using split-plot definitive screening designs. ICSA – Canada Chapter 2015 Symposium, Calgary, August 4-6, 2015.
  • Response surface methodology using split-plot definitive screening designs. 43rd Annual Meeting of the Statistical Society of Canada, Halifax, June 14-17, 2015.
  • Response surface methodology using split-plot definitive screening designs. 7th International Conference of the ERCIM WG on Computational Methodological Statistics (ERCIM 2014), University of Pisa, Italy, December 6-8, 2014.
  • Optimal split-plot orthogonal arrays. Joint Research Conference on Statistics in Quality, Industry, and Technology, University of Washington, Seattle, Washington, USA, June 24-26, 2014.
  • Semifoldover two-level regular blocked factorial designs. The IMS-China International Conference on Statistics and Probability, Chengdu, China, June 30-July 4, 2013.
  • Optimal semifoldover blocked fractional factorial designs. The 6th International Congress of Chinese Mathematicians, Taipei, July 14-19, 2013.
  • Semifoldover two-level regular blocked factorial designs. The 20th ASA/IMS Spring Research Conference on Statistics in Industry and Technology, UCLA, June 20-22, 2013.
  • Optimal blocking and semifoldover plans for two-level factorial designs. The 29th Quality and Productivity Research Conference, Long Beach, CA, June 4-7, 2012.
  • Optimal blocked semifoldover designs. The First International Symposium on System Informatics and Engineering, Qingdao, China, July 11-13, 2011.
  • Semifoldover general factorial designs. International Conference on Design of Experiments, Memphis, May 10-13, 2011.
  • Optimal blocked semifoldover designs. Joint Research Conference on Statistics in Quality, Industry, and Technology, Gaithersburg, MD, May 25-27, 2010.
  • Forms of four-word indicator functions with implications to two-level factorial designs. Spring Research Conference on Statistics in Industry and Technology, Vancouver, Canada, May 27-29, 2009.
  • Semifolding general two-level factorial designs. 2008 ASA Quality and Productivity Research Conference, Madison, Wisconsin, June 27-29, 2008.

Select publications

  • Zhang, W., Wang, X. and Yang, P. (2019). A new design of the continual reassessment method. Communications in Statistics – Simulation and Computation. Accepted.
  • Atakora, F. and Yang, P. (2019). Construction of optimal foldover designs with the general minimum lowerorder confounding. Statistics and Applications. Accepted.
  • Yang, P. and Li, W. (2019). Some properties of foldover designs with column permutations. Metrika 82(6), 705-717.
  • Lin, C. Y. and Yang, P. (2019). Data-driven multistratum designs with the generalized Bayesian D-D criterion for highly uncertain models. Computational Statistics and Data Analysis 138, 222-238.
  • Yang, P. and Hu, J. (2018). Optimal robust parameter designs with qualitative and quantitative factors. Australian & New Zealand Journal of Statistics 60(2), 188-198.
  • Lin, C. Y. and Yang, P. (2018). Robust multistratum baseline designs. Computational Statistics and Data Analysis 118, 98-111.
  • Lin, C. Y. and Yang, P. (2017). Minimum contamination and beta-aberration criteria for quantitative factors. Statistica Sinica 27(2), 607-623.
  • Yang, P. and Lin, C. Y. (2017). Optimal split-plot orthogonal arrays. Australian & New Zealand Journal of Statistics 59(1), 81-94.
  • Zhang, W. and Yang, P. (2017). Optimal investment and consumption with unknown parameters. Communications in Statistics – Theory and Methods 46(12), 5985-5993.
  • Lin, C. Y. and Yang, P. (2015). Response surface methodology using split-plot definitive screening designs. Journal of Quality Technology 47(4), 351-362.
  • Yang, P., Lin, C. Y. and Li, W. (2015). Blocked semifoldovers of two-level orthogonal designs. Metrika 78(5), 529-548.
  • Yang, P. and Li, W. (2014). Blocked two-level semifoldover designs. Journal of statistical planning and inference 144, 133-140.
  • Yang, P. (2013). Optimal blocking and semifoldover plans for 2^{n-p} designs. Statistics & Probability Letters 83(2), 624-630.
  • Balakrishnan, N. and Yang, P. (2011). Forms of four-word indicator functions with implications to two-level factorial designs. Annals of the Institute of Statistical Mathematics 63 (2), 375–386.
  • Balakrishnan, N. and Yang, P. (2009). De-aliasing effects using semifoldover techniques. Journal of Statistical Planning and Inference 139 (9), 3102–3111.
  • Balakrishnan, N. and Yang, P. (2006). Classification of three-word indicator functions of two-level factorial designs. Annals of the Institute of Statistical Mathematics 58 (3), 596–608.
  • Balakrishnan, N. and Yang, P. (2006). Connections between the resolutions of general two-level factorial designs. Annals of the Institute of Statistical Mathematics 58 (3), 609–618.
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