• Probability Theory
• Stochastic Processes
•  Statistical Inference to Stochastic processes
•  Biostatistics/Epidemiology
•  Survival Data Analysis
•  Mathematical and Statistical modeling
• Survey methodology/Small area estimations
• Financial and Actuarial Mathematics/Risk Analysis

• [1] C. Sangarun and J. Suntornchost, Pivot-Based Parameter Estimation for the Gumbel Distribution with Progressive Type-II Censoring Scheme, Accepted. To appear in Science & Technology Asia,2026.
• [2] S. Punaluek and J. Suntornchost, Optimal reinsurance under discrete-time risk model with stochastic premiums and dependence based on integer-valued time series, Accepted. To appear in Communications in Statistics – Theory and Methods, 2026.
• [3]S. Sawongnam and J. Suntornchost, Threshold regression based on geometric Brownian motion with application to stock market prices, Lifetime Data Analysis, Vol. 32, No.42, page 1-23, 2026. https://link.springer.com/article/10.1007/s10985-026-09720-2
• [4]P. Sritiraj and J. Suntornchost, The Slash Truncated Moyal Distribution: Its Properties and Applications, Chiang Mai Journal of Science, Vol.53, No.5, page 1-24, 2026. https://epg.science.cmu.ac.th/ejournal/journal-detail.php?id=12036

• [5] A. Angkunsit and J. Suntornchost, Robust Extension of the Multivariate Fay-Herriot Model for Data with Outliers. Journal for Survey Statistics and Methodology, Vol.14, No.1, page 137-177, 2026.https://academic.oup.com/jssam/article/14/1/137/8307784
• [6] A. Angkunsit and J. Suntornchost, The EM Algorithm for Variance Component estimation in Multivariate Fay-Herriot model, Communication in Statistics-Simulation and Computation, Vol.55, No.3, page 810-840, 2026. https://www.tandfonline.com/doi/full/10.1080/03610918.2024.2417809
• [7] P. Sritiraj and J. Suntornchost, The Inverse Moyal Distribution and Its Properties, Science and Technology Asia, Vol.30, No.4, page 169-184, 2025.https://ph02.tci-thaijo.org/index.php/SciTechAsia/article/view/260009
• [8] S. Sawongnam and J. Suntornchost, An Analysis of Logarithmic Return Using Threshold Regression Based on the Ornstein–Uhlenbeck Process, Risk and Decision Analysis, Vol.11, No.3-4, page 152-156, 2025.https://journals.sagepub.com/doi/10.1177/15697371251375292
• [9] A. Angkunsit and J. Suntornchost, Adjusted Maximum Likelihood Method based on Shrinkage Factor Bias Reduction for Multivariate Fay-Herriot Model, Australia and New Zealand Journal of Statistics, Vol.67, No.3, page 349-366, 2025.https://onlinelibrary.wiley.com/doi/10.1111/anzs.70021
• [10] A. Jiratampradab, T. Supapakorn and J. Suntornchost, Iteratively Reweighted Least Squares Fiducial Interval for Variance in Unbalanced Variance Components Model, Mathematics, Vol.13, No.1, page 153, 2025.https://www.mdpi.com/2227-7390/13/1/153
• [11] W. Rattanachadjane, J. Suntornchost, P. Lahiri, A New Unit Root Test for an Autoregressive Model subject to Measurement Errors, Statistics and Applications, Vol.22, No.3, page 575-594, 2024.https://www.ssca.org.in/media/33_SA22122024_Bimal_GE_Partha_Lahiri_08102024_FINAL__Finally.pdf
• [12] P. Sumritnorrapong and J. Suntornchost, An improvement of a nonuniform bound for unbounded exchangeable pairs, Journal of Inequalities and Applications, Vol.2023, No.9, page 1-16, 2023.https://link.springer.com/article/10.1186/s13660-023-02915-3
• [13] A. Angkunsit and J. Suntornchost, Adjusted maximum likelihood method for multivariate Fay–Herriot model, Journal of Statistical Planning and Inference, Vol 219, 231- 249, page 231-249, 2022.https://www.sciencedirect.com/science/article/abs/pii/S0378375821001348
• [14] A. Jiratampradab, T. Supapakorn and J. Suntornchost, Comparison of confidence intervals for variance components in an unbalanced one-way random effects model, STATISTICS IN TRANSITION new series, Vol. 23, No.4, page 149–160, 2022. https://sit.stat.gov.pl/SiT/2022/4/gus_sit_2022_04_arisa_jiratampradab_thidaporn_supapakorn_jiraphan_suntornchost_comparison_of_confidence_intervals.pdf
• [15] A. Angkunsit and J. Suntornchost, Modelling the Household Debts in Thailand using Fay-Herriot models, The Journal of Applied Science, Vol 21. No.1 page1-13, 2022.https://ph01.tci-thaijo.org/index.php/JASCI/article/view/244482
• [16] S. Bunyaris and J. Suntornchost. The First Order Integer-Valued Autoregressive Models with The Two-Parameter Generalized Poisson-Lindley Distribution Based on the Negative Binomial Thinning Operator, Mathematical Journal by The Mathematical Association of Thailand Under The Patronage of His Majesty The King, Vol.66, No.704, 63–77, 2021.https://ph02.tci-thaijo.org/index.php/MJMATh/article/view/241610
• [17] A. Angkunsit and J. Suntornchost, Bivariate Fay-Herriot Models with Application to Thai Socio-Economic Data, Naresuan University Journal: Science and Technology, Vol.29, No.1, page 36-49, 2021.https://ph03.tci-thaijo.org/index.php/ahstr/article/view/1403
• [18] P. Lahiri and J. Suntornchost, A general Bayesian approach to meet different inferential goals in poverty research for small areas, STATISTICS IN TRANSITION new series, Vol. 21, No. 4, page 237-253, 2020.https://sit.stat.gov.pl/SiT/SpecialIssue/D3_Lahiri_Suntornchost_Poverty%20DRUK%20A4.pdf
• [19] P. Sumritnorrapong, K. Neammanee and J. Suntornchost, An improvement of a non-uniform bound for combinatorial central limit theorem, Communications in Statistics-Theory and Methods, Vol.48, No.9, page 2129-2146, 2019.https://www.tandfonline.com/doi/abs/10.1080/03610926.2018.1459711
• [20] A. Angkunsit and J.Suntornchost, Variable Selection in Multivariate Linear Regression Models Subject to Sampling Errors, Chamchuri Journal of Mathematics, 10, page 28-52, 2018.https://ph02.tci-thaijo.org/index.php/cjm/article/view/230780
• [21] P. Sumritnorrapong, K. Neammanee and J.Suntornchost, Exponential bounds via Stein’s method and exchangeable pairs, ScienceAsia, 44, page 277-287, 2018.https://www.scienceasia.org/2018.44.n4/scias44_277.pdf
• [22] N. Lenghoe, and J. Suntornchost, Variable Selection for Linear Regression Model with General Variance, Journal of Applied Statistics: Information and Technology, page 22-31, 2017.https://ph02.tci-thaijo.org/index.php/asit-journal/article/view/165718
• [23] J. Kantalo and J. Suntornchost, A Two-parameter Weighted Inverse Lindley Distribution and Applications, Journal of Applied Statistics: Information and Technology, page 7-21, 2017.https://ph02.tci-thaijo.org/index.php/asit-journal/article/view/165714
• [24] T. Chanpana, N. Chiadee, and J. Suntornchost, Multi-Dimensional Asymmetric and Non-Uniform Gambler’s Ruin problem with Two Players, East West Journal of Mathematics,Vol.18, No.1, page 52-62, 2016.
• [25] T. Chanpana, N. Chiadee, and J. Suntornchost, The Three-Dimensional Non-Uniform and Asymmetric n-Player Game with Equal Initial Fortunes, East West Journal of Mathematics,Vol17, No.1, page 1-13, 2015.
• [26] P. Lahiri and J. Suntornchost, Variable selection for Linear Mixed Models with Applications in Small Area Estimation, Sankhya B,Vol 77-B,Part 2,page 312-320, 2015.https://link.springer.com/article/10.1007/s13571-015-0096-0
• [27] E.V. Slud, and J. Suntornchost, Parametric Survival Densities and Regression from Phase-Type Models, Lifetime Data Analysis, 2013.https://link.springer.com/article/10.1007/s10985-013-9278-0
• [28] K. Neammanee and J. Suntornchost, A Uniform Bound on a Combinatorial Central Limit Theorem, Stochastic Analysis and Applications, Vol.23, page 559-579, 2005. https://www.tandfonline.com/doi/full/10.1081/SAP-200056686

Proceedings:

• [1] P. Sritiraj and J. Suntornchost, The Truncated Moyal Distribution, Proceeding of  ICAS2024, 283-299, 2025.
• [2] J. Rattana, J. Suntornchost, and P. Lahiri, Spatial Fay–Herriot model for income data in Thailand, Proceeding of Pure and Applied Mathematics (APAM), 178-189, 2024.
• [3] A. Seedamad, J. Suntornchost, and A. Angkunsit, First-order geometric integer- valued autoregressive model with covariates, Proceeding of Pure and Applied Mathematics (APAM), 79-89, 2024.
• [4] K. Worragate, J. Suntornchost, and R. Tanadkithirun, A Cramer Approximation to the Ruin Probability of a Risk Model with Thinning Dependence, Proceeding of Pure and Applied Mathematics (APAM) 2023, 79-94, 2023
• [5] A. Suthichayapipat and J. Suntornchost, Mixture autoregressive model for Thai stock market data, Proceeding of ICAS2022, 51-57, 2022.
• [6] S. Punaluek and J. Suntornchost, Risk model with correlated claims based on Compound Poisson-Negative Binomial process, Proceeding of ICAS2022, 109-114, 2022.
• [7] S. Pumpuang and J. Suntornchost, A modified Liu Estimator for Linear Regression with application, Proceedings of the 1st International Annual Meeting in Mathematics (AMM 2022), 78-86, 2022.
• [8] C. Tantiwattanapaibul and J. Suntornchost. The Perturbed Risk Model with Investment and Surrender based on Poisson Negative Binomial Counting Process, Proceeding of the 47th International Congress on Science, Technology and Technology–based  Innovation (STT47): 201-216, 2021.
• [9] K.Anan and J.Suntornchost,” Coefficient of Determination for Linear Panel Data Model with Measurement Error, Proceeding of Pure and Applied Mathematics(APAM), 55-76, 2019.
• [10] C.Sangarun and J. Suntornchost, A New Least Squares Method for the Gumbel Distribution, Proceeding of Pure and Applied Mathematics(APAM), 31-44, 2019.
• [11] S. Somjettana and J. Suntornchost, An Empirical Bayes Model for Poverty Mapping in Thailand, Proceeding of The 49th National Graduate Research Conference 2019, 155-163, 2019.
• [12] N. Foosarmpok and J. Suntornchost, First Order Integer-Valued Moving Average Risk Models with Surrender and Investment, Proceeding of The 49th National Graduate Research Conference 2019, 289-300, 2019.
• [13] K. Laphudomsakda and J. Suntornchost, Discrete-Time Risk Model based on NBMA(1) models, Proceeding of ICAS, 24 -26, 2018.
• [14] S. Kanokhilunyakorn and J. Suntornchost, Hypothesis Testing for Slope Heterogeneity for Three Dimensional Panel Data Model , Proceedings of the 22nd Annual Meeting in Mathematics (AMM2017), Chiang Mai University, Chiang Mai, Thailand, STA-02-1-STA-02-14,2017
• [15] T. Puttanukul, J. Suntornchost and N. Chaidee, Complete Convergence for a sequence of coordinatewise widely orthant dependent random vectors in Hilbert Spaces, Proceeding of STT42, page 673 - 679, 2017.
• [16] T. Thanodomdech, J. Suntornchost and N. Chaidee, The Strong Law of Large Numbers for Non-identically Distributed Random Variables, The proceeding of the Annual Pure and Applied Mathematics Conference 2016 (APAM 2016), page 33-42, 2016.
• [17] J. Suntornchost, E.V. Slud, and R. Wei, An Age-Segmented Poisson Log-Bilinear model for Sex- and Cause-Specific Mortality Rates , in JSM2011 proceedings, Section on Statistics in Epidemiology, 2011.
• [18] J. Suntornchost, R. Wei, and E.V. Slud, Modeling U.S. Cause-specific mortality rates using an age-Segmented Lee-Carter model, in JSM2010 proceedings, Section on Statistics in Epidemiology, 2011