Dr. Heri Kuswanto
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Dr. Heri Kuswanto

Associate Professor
Institut Teknologi Sepuluh Nopember, Indonesia

Highest Degree
Ph.D. in Statistics from Leibniz University of Hanover, Germany

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Area of Interest:

Bayesian Inference
100%
Risk Modelling
62%
Data Analysis
90%
Econometrics
75%
Machine Learning
55%

Research Publications in Numbers

Books
0
Chapters
0
Articles
0
Abstracts
0

Selected Publications

  1. Kuswanto, H., M. Salamah, S.M. Retnaningsih and D.D. Prastyo, 2018. On the impact of climate change to agricultural productivity in east Java. J. Phys.: Conf. Ser., Vol. 979. .
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  2. Kuswanto, H., J.N. Melasasi and H. Ohwada, 2018. Enzyme Classification on DUD-E Database Using Logistic Regression Ensemble (Lorens). In: Innovative Computing, Optimization and its Applications, Zelinka, I., P. Vasant, V.H. Duy and T.T. Dao (Eds.). Springer, New York, pp: 93-109.
  3. Kuswanto, H., S. Hidayati, M. Salamah and B.S. Ulama, 2017. Bootstrap resampling to detect active zone for extreme rainfall in Indonesia. J. Phys.: Conf. Ser., Vol. 893. .
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  4. Kuswanto, H., 2017. An Approach to Measure Financial Risk Relative Indices: A Case Study of Indonesian Insurance Companies. In: Risk Management, Strategic Thinking and Leadership in the Financial Services Industry, Dincer, H. and U Hacioglu (Eds.). Springer, New York, pp: 159-173.
  5. Astuti, A.B., N. Iriawan, Irhamah and H. Kuswanto, 2017. Bayesian mixture model averaging for identifying the different gene expressions of chickpea (Cicer arietinum) plant tissue. Commun. Stat. Theory Methods, 46: 10564-10581.
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  6. Marty, R., V. Fortin, H. Kuswanto, A.C. Favre and E. Parent, 2015. Combining the Bayesian processor of output with Bayesian model averaging for reliable ensemble forecasting. J. Royal Stat. Soc.: Ser. C, 64: 75-92.
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  7. Kuswanto, H., S. Andari and E.O. Permatasari, 2015. Identification of extreme events in climate data from multiple sites. Procedia Eng., 125: 304-310.
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  8. Kuswanto, H. and G.S. Prayoga, 2015. Calibrating the rainfall forecast of the HyBMG outputs using bayesian model averaging: A case study. Int. J. Applied Math. Stat., 53: 122-129.
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  9. Sutikno, H. Kuswanto and I.D. Ratih, 2014. Gaussian copula marginal regression for modeling extreme data with application. J. Math. Stat., 10: 192-200.
  10. Kuswanto, H. and M.R. Sari, 2013. Bayesian model averaging with Markov chain monte Carlo for calibrating temperature forecast from combination of time series models. J. Math. Stat., 9: 349-356.
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  11. Kuswanto, H., M. Salamah and N. Yussanti, 2012. On the influence of climate and socio economic condition to the Dengue incidences: A semiparametric regression panel approach. Am. J. Environ. Sci., 8: 661-667.
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  12. Kuswanto, H., 2011. A new simple test against spurious long memory using temporal aggregation. J. Stat. Comput. Simulation, 81: 1297-1311.
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  13. Kuswanto, H. and M. Salamah, 2010. Identification of dependence structure using copula (apliication to climatological data). Cauchy, 1: 78-84.