Te Tari Pāngarau me te Tatauranga
Department of Mathematics & Statistics
Back to Our people

Associate Professor Ting Wang

Office: Science III, room 518
Phone: 479-7773

Academic qualifications

PhD in Statistics, Massey University (Dean’s List of Exceptional Doctoral Theses);

MSc in Statistics, Beijing Normal University (graduated 1 year ahead of schedule);

BSc in Statistics, Beijing Normal University

Research Interests

My research interests span across statistical theories and applications (mainly in epidemic processes such as earthquake and volcanic hazards), including

  • Point process theory
  • Stochastic models, especially in geophysics
  • Hidden Markov models and their applications
  • Survival analysis
  • Robust statistics

Research Grants

  • 2020-2025 MBIE Endeavour Research Program, “Solar Tsunamis: Space-Weather Prediction and Risk Mitigation for New Zealand's Energy Infrastructure", $15,038,728, (Research Aim leader and Key Researcher).
  • 2019-2024 MBIE Endeavor Research Programme, “Transitioning Taranaki to a Volcanic Future”, $13,676,785, (Research Aim leader and Key Researcher).
  • 2015-2018 Marsden Fund Fast-Start "Developing inversion methods for non-stationary thinning of point processes", $300,000, (Principal Investigator)
  • 2015-2017 Natural Hazards Research Platform contestable grant, “First steps to a national volcano hazard model: Estimation of time varying hazard from New Zealand volcanoes through expert elicitation and Bayesian analogues”, (AI; Principal investigator: Mark Bebbington, Massey University)
  • 2014-2016 EQC (Earthquake Commission) "Automated objective identification of seismic phases"

New PhD opportunities available

  • Marked point processes for volcanic eruption forecasting PhD ads

  • Taranaki volcano in a good mood


  • 2017 University of Otago Early Career Award for Distinction in Research
  • 2013 Worsley Early Career Research Award from the New Zealand Statistical Association recognizing outstanding recent published research from a New Zealand statistician in the early stages of their career

Professional Positions

  • 2021- Associate Professor, University of Otago
  • 2017-2020 Senior Lecturer, University of Otago
  • 2012-2016 Lecturer, University of Otago
  • 2012.7-2012.11 Visiting Research Fellow, Earthquake Research Institute, University of Tokyo
  • 2010-11 Postdoctoral Fellow, Volcanic Risk Solutions, Massey University


  • STAT110 Statistical Methods (2012, 2013)
  • STAT261 Probability and Inference 1 (2012-2018)
  • STAT270 Probability and Inference (2019-)
  • STAT352 Applied Time Series (2018)
  • STAT370 Statistical Inference (2020-)
  • STAT372 Stochastic Modelling (2019-)
  • STAT411 Probability and Inference 3 (2018,2021)
  • STAT412 Generalised Linear Models (2013-2017,2020,2021)
  • STAT444 Stochastic Processes (2017)

Postgraduate students

PhD Students



MSc Students

Honours and PGDipSci students

  • Jessica Allen, 2021
  • Joel Carman, 2021
  • Willie Huang, 2018
  • Jie Kang, 2017
  • Qing Ruan, 2017 (Primary supervisor: Tilman Davies)
  • Jodie Buckby, 2016
  • Yunan Wang, 2015

Selected Publications

  • Wang, T., Bebbington, M., Cronin, S., Carman, J. (2022) Forecasting eruptions at poorly known volcanoes using analogues and multivariate renewal processes. Geophysical Research Letters, e2021GL096715.
  • Shahzadi, A., Wang, T., Bebbington, M., Parry, M. (2022) Inhomogeneous hidden semi-Markov models for incompletely observed point processes. The Annals of the Institute of Statistical Mathematics. In press.
  • Stoltz, M., Stoltz, G., Obara, K., Wang, T., Bryant, D. (2021) Acceleration of hidden Markov model fitting using graphical processing units, with application to low-frequency tremor classification. Computers & Geosciences, 156, 104902.
  • Griffin, J. D., Stirling, M. W. and Wang, T. (2020) Periodicity and clustering in the long-term earthquake record. Geophysical Research Letters, 47, e2020GL089272.
  • Buckby, J., Wang, T., Zhuang, J. and Obara, K. (2020) Model checking for hidden Markov models. Journal of Computational and Graphical Statistics, DOI: 10.1080/10618600.2020.1743295
  • Wang, T., Schofield, M., Bebbington, M. and Kiyosugi, K. (2019) Bayesian modelling of marked point processes with incomplete records: volcanic eruptions. Journal of the Royal Statistical Society, Series C, Applied Statistics,
  • Lube, G., Breard, E.C.P., Jones, J., Fullard, L., Dufek, J., Cronin, S.J. and Wang, T. (2019) Generation of air lubrication within pyroclastic density currents. Nature Geoscience, 12, 381-386.
  • Zhuang, J., Wang, T. and Kiyosugi, K. (2019) Detection and replenishment of missing data in marked point processes, Statistica Sinica, accepted for publication.
  • Peng, M., Coutts, D., Wang, T. and Cakmak, Y. O. (2019) Systematic review of olfactory shifts related to obesity. Obesity Reviews, 20(2), 325-338. doi: 10.1111/obr.12800.
  • Wang, T., Zhuang, J., Buckby, J., Obara, K. and Tsuruoka, H. (2018) Identifying the recurrence patterns of non‐volcanic tremors using a 2D hidden Markov model with extra zeros. Journal of Geophysical Research: Solid Earth, 123, 6802-6825. HMMextra0s R package from CRAN
  • Bebbington, M., Stirling, M., Cronin, S., Wang, T. and Jolly, G. (2018) National-level long-term eruption forecasts by expert elicitation. Bulletin of Volcanology, 80:56,
  • Wang, Y., Wang, T. and Zhuang, J. (2018) Modelling continuous time series with many zeros and an application to earthquakes. Environmetrics, 2018;e2500, 10.1002/env.2500.
  • Zhuang, J., Ogata, Y. and Wang, T. (2017) Data completeness of the Kumamoto earthquake sequence in the JMA catalog and its influence on the estimation of the ETAS parameters. Earth, Planets and Space, 69:36. doi:10.1186/s40623-017-0614-6.
  • Stirling, M., Bebbington, M., Brenna, M., Cronin, S., …, Wang, T., White, J. D. L., Wilson, C. J. N. and Wilson, T. (2017) Conceptual development of a national volcanic hazard model for New Zealand. Frontiers in Earth Science, 5, 51. doi: 10.3389/feart.2017.00051.
  • Wang, T., Zhuang, J., Obara, K. and Tsuruoka, H. (2016) Hidden Markov Modeling of Sparse Time Series from Non-volcanic Tremor Observations. Journal of the Royal Statistical Society, Series C, Applied Statistics, 66, Part 4, 691–715. HMMextra0s R package or HMMextra0s R package from CRAN
  • Nduwke, H. C., Wang, T., Tordoff, J., Croucher, M. J. and Nishtala, P. S. (2016) Geographic variation in psychotropic drug utilisation among older people in New Zealand, Australasian Journal On Ageing, 35 (4), 242-248.
  • Ndukwe, H. C., Nishtala, P. S., Wang, T.,Tordoff, J. M. (2016) Quality use of antipsychotic medicines in residential aged care facilities in New Zealand. Journal of Primary Health Care, 8 (4), 335-343.
  • Kawabata, E., Bebbington, M. S., Cronin, S. J. and Wang, T. (2016) Optimal likelihood matching of volcanic sources and deposits in the Auckland Volcanic Field. Journal of Volcanology and Geothermal Research, 323, 194-208.
  • Williams, J. N., Toy, V. G., Massiot, C., McNamara, D. D., Wang, T. (2016) Damaged beyond repair? Characterising the damage zone of a fault late in its interseismic cycle, the Alpine Fault, New Zealand. Journal of Structural Geology, 90, 76-94.
  • Kiyosugi, K., Connor, C. B., Sparks, R. S. J., Crosweller, H. S., Brown, S. K., Siebert, L., Wang, T. and Takarada, S. (2015) How Many Explosive Eruptions are Missing from the Geologic Record? Analysis of the Quaternary Record of Large Magnitude Explosive Eruptions in Japan. Journal of Applied Volcanology, 4:17.
  • Zheng, H., Li, Y., Chen, J. M., Wang, T., Huang, Q., Huang, W. X., Wang, L. H., Li, S. M., Yuan, W. P., Zheng, X., Zhang, S. P., Chen Z. Q. and Jiang, F. (2015) A global carbon assimilation system based on a dual optimization method. Biogeosciences, 12, 1131-1150.
  • Kawabata, E., Cronin, S. J., Bebbington, M. S., Moufti, M. R. H., El-Masry, N. and Wang, T. (2015) Identifying multiple eruption phases from a compound tephra blanket: an example of the AD1256 Al-Madinah eruption, Saudi Arabia. Bulletin of Volcanology, 77:6.
  • Nduwke, H. C., Tordoff, J., Wang, T. and Nishtala P. S. (2014) Psychotropic medicine utilization in older people in New Zealand from 2005 to 2013. Drugs & Aging, 31, 755-768.
  • Nishtala, P., Narayan, S. W., Wang, T. and Hilmer S. N. (2014) Associations of Drug Burden Index with falls, general practitioner visits, and mortality in older people. Pharmacoepidemiology and Drug Safety, 23, 753-758.
  • Zheng, H., Li, Y., Chen, J. M., Wang, T., Huang, Q. and Sheng, Y. (2014) Applying a dual optimization method to quantify carbon fluxes: recent progress in carbon flux inversion. Chinese Science Bulletin, 59(2), 222-226.
  • Wang, T., Zhuang, J., Kato, T. and Bebbington, M. (2013) Assessing the potential improvement in short-term earthquake forecasts from incorporation of GPS data. Geophysical Research Letters, 40, 2631–2635. R code, please email me for the data files
  • Wang, T. and Bebbington, M. (2013) Robust estimation for the Weibull process applied to eruption records. Mathematical Geosciences, 45, 851-872.
  • Kawabata, E., Bebbington, M., Cronin, S.J. and Wang, T. (2013) Modeling thickness variability in tephra deposition. Bulletin of Volcanology, 75:738.
  • Wang, T. and Bebbington, M. (2013) Identifying anomalous signals in GPS data using HMMs: An increased likelihood of earthquakes? Computational Statistics and Data Analysis, 58, 27-44.
  • Wang, T. and Bebbington, M. (2012) Estimating the likelihood of an eruption from a volcano with missing onsets in its record. Journal of Volcanology and Geothermal Research, 243–244, 14–23.
  • Wang, T., Bebbington, M. and Harte, D. (2012) Markov-modulated Hawkes process with stepwise decay. The Annals of the Institute of Statistical Mathematics, 64, 521-544. MMHP R package
  • Wang, T., Bebbington, M. and Harte, D. (2011) Extracting coseismic signals from groundwater data. Mathematical Geosciences, 43, 799-817.
  • Wang, T., Bebbington, M. and Harte, D. (2010) A comparative study of coherence, mutual information and cross-intensity models. International Journal of Information & Systems Sciences, 6(1), 49-60.
  • Wang, T., Li, Y. and Cui, H. (2007) On weighted randomly trimmed means. Journal of Systems Science and Complexity, 20(1), 47-65.
  • Wang, T., Li, Y., Ma, L. and Huang, J. (2006) Limited power law formula and Omori law. Earthquake Research in China, 22(3), 321-326.

PhD thesis

  • Statistical Models for Earthquakes Incorporating Ancillary Data. Available here

Translated papers

  • Yan S.J. and Liu X.F. (2006). On the estimation of the regression coefficients of a continuous parameter process with stationary residual. Journal Frontiers of Mathematics in China, 1(2), 201-233. (Translated by Wang Ting from the Chinese version of the paper published in Journal of Beijing Normal University (Natural Sciences), 1965, 1: 15–44)


  • 2016, Long-term spatiotemporal variation of seismic activity. Peking University, China.
  • 2016, From China to New Zealand -- Using statistics to aid earthquake forecasting. Peking University, China.
  • 2016, Identification of seismic phases using Markov-modulated marked Hawkes processes. Institute of Statistical Mathematics, Tokyo, Japan.
  • 2015, Marked point process modeling with missing data in volcanic eruption records. Institute of Statistical Mathematics, Tokyo, Japan.
  • 2014, Modelling of seismic activity using Markov-modulated Hawkes process and its extensions. Istituto di Matematica Applicata e Tecnologie Informatiche, Milan, Italy.
  • 2014, Estimating the likelihood of volcanic eruptions with incomplete eruption record. Institute of Statistical Mathematics, Tokyo, Japan.
  • 2012, Statistical analysis of long-term seismicity and short-term earthquake forecasting. Earthquake Research Institute, University of Tokyo, Japan.
  • 2012, Hidden Markov models in modelling earthquake data. Institute of Statistical Mathematics, Tokyo, Japan.
  • 2010, Statistical analysis of earthquake data and volcanic eruptions. GNS, Wairakei, New Zealand.
  • 2010, The use of Hidden Markov Models in modelling earthquake data. Hotstuff Seminar series at University of Bristol, Bristol, UK.