Curriculum Vitae for Abdollah Jalilian

Personal

Born: 1983, Kermanshah, Iran
Nationality: Iranian
Marital status: married, two children

Education

B.Sc. in Statistics, University of Isfahan, Isfahan, Iran, 2001-2005
M.Sc. in Mathematical Statistics, Shahid Beheshti University, Tehran, Iran, 2005-2007
Ph.D. in Statistics, Shahid Beheshti University, Tehran, Iran, 2007-2011
- Thesis title: Some statistical inferences for spatial Cox point processes

Work experience

Associate Professor, Department of Statistics, Razi University (2021-present)
Lecturer, Department of Biostatistics, Kermanshah University of Medical Sciences (2018-present)
Assistant Professor, Department of Statistics, Razi University (2012-2020)

Areas of Specialization

Statistical Inference for Point Processes
Spatial Statistics
Statistical Computing

Honors & Awards

Winner of Dr. Behboudian’s Award for Excellence in Research, Iranian Statistical Society, 2018

Software Skills and Development

Basic C++ programming
Basic Python programming
R prgramming
ETAS: an R package for modeling earthquake data using the Epidemic Type After-shock Sequence model
jalcal: an R package for conversion between Jalali and Gregorian calendar dates
Some contributions in the R package spatsta

Publications

A bootstrap test for symmetry based on ranked set samples

Drikvandi, R., Modarres, R., & Jalilian, A. H. (2011). "A bootstrap test for symmetry based on ranked set samples". Computational statistics & data analysis, 55(4), 1807-1814.

Residual analysis for inhomogeneous Neyman–Scott processes

Jalilian, A. H., & Vahidi‐Asl, M. Q. (2011). "Residual analysis for inhomogeneous Neyman–Scott processes". Scandinavian journal of statistics, 38(4), 617-630.

Decomposition of variance for spatial Cox processes

Jalilian, A., Guan, Y., & Waagepetersen, R. (2013). "Decomposition of variance for spatial Cox processes". Scandinavian Journal of Statistics, 40(1), 119-137.

Modeling and forecasting of the under-five mortality rate in Kermanshah province in Iran: a time series analysis

JRostami, M., Jalilian, A., Hamzeh, B., & Laghaei, Z. (2015). "Modeling and forecasting of the under-five mortality rate in Kermanshah province in Iran: a time series analysis". Epidemiology and health, 37.

Quasi‐likelihood for spatial point processes

Guan, Y., Jalilian, A., & Waagepetersen, R. (2015). "Quasi‐likelihood for spatial point processes". Journal of the Royal Statistical Society: Series B (Statistical Methodology), 77(3), 677-697.

Multivariate product‐shot‐noise Cox point process models

Jalilian, A., Guan, Y., Mateu, J., & Waagepetersen, R. (2015). "Multivariate product‐shot‐noise Cox point process models". Biometrics, 71(4), 1022-1033.

Analysis of multispecies point patterns by using multivariate log‐Gaussian Cox processes

Waagepetersen, R., Guan, Y., Jalilian, A., & Mateu, J. (2016). "Analysis of multispecies point patterns by using multivariate log‐Gaussian Cox processes". Journal of the Royal Statistical Society: Series C (Applied Statistics), 65(1), 77-96.

Factors associated with the choice of suicide method in Kermanshah Province, Iran

Rostami, M., Jalilian, A., Rezaei-Zangeneh, R., & Salari, A. (2016). "Factors associated with the choice of suicide method in Kermanshah Province, Iran". Annals of Saudi Medicine, 36(1), 7-16.

Suicide mortality risk in Kermanshah Province, Iran: a county-level spatial analysis

Rostami, M., Jalilian, A., Ghasemi, S., & Kamali, A. (2016). "Suicide mortality risk in Kermanshah Province, Iran: a county-level spatial analysis". Epidemiology, Biostatistics and Public Health, 13(3).

On the higher order product density functions of a Neyman–Scott cluster point process

Jalilian, A. (2016). "On the higher order product density functions of a Neyman–Scott cluster point process". Statistics & Probability Letters, 117, 144-150.

Modeling spatio-temporal variations of substance abuse mortality in Iran using a log-Gaussian Cox point process

Rostami, M., Mohammadi, Y., Jalilian, A., & Nazparvar, B. (2017). "Modeling spatio-temporal variations of substance abuse mortality in Iran using a log-Gaussian Cox point process". Spatial and Spatio-temporal Epidemiology, 22, 15-25.

Modelling and classification of species abundance: a case study in the Barro Colorado Island plot

Jalilian, A. (2017). "Modelling and classification of species abundance: a case study in the Barro Colorado Island plot". Journal of Applied Statistics, 44(13), 2401-2409.

Fitting Skew Distributions to Iranian Auto Insurance Claim Data

Kazemi, R., Jalilian, A., & Kohansal, A. (2017). Fitting Skew Distributions to Iranian Auto Insurance Claim Data. Applications & Applied Mathematics, 12(2).

Fast bandwidth selection for estimation of the pair correlation function

Jalilian, A., & Waagepetersen, R. (2018). Fast bandwidth selection for estimation of the pair correlation function. Journal of Statistical Computation and Simulation, 88(10), 2001-2011.

Declustering of Iran earthquake catalog (1983–2017) using the epidemic-type aftershock sequence (ETAS) model

Davoudi, N., Tavakoli, H. R., Zare, M., & Jalilian, A. (2018). "Declustering of Iran earthquake catalog (1983–2017) using the epidemic-type aftershock sequence (ETAS) model". Acta Geophysica, 66(6), 1359-1373.

Orthogonal series estimation of the pair correlation function of a spatial point process

Jalilian, A., Guan, Y. & Waagepetersen, R. (2019). "Orthogonal series estimation of the pair correlation function of a spatial point process". Statistica Sinica, 29, 769-787.

ETAS: An R package for fitting the space-time ETAS model to earthquake data

Jalilian, A. (2019). "ETAS: An R package for fitting the space-time ETAS model to earthquake data". Journal of Statistical Software, 88(1), 1-39.

Spatiotemporal Comparison of Declustered Catalogs of Earthquakes in Turkey

Nas, M., Jalilian, A., & Bayrak, Y. (2019). "Spatiotemporal Comparison of Declustered Catalogs of Earthquakes in Turkey". Pure and Applied Geophysics, 176(6), 2215-2233.

Aftershock probabilistic seismic hazard analysis for Bushehr province in Iran using ETAS model

Davoudi, N., Tavakoli, H. R., Zare, M., & Jalilian, A. (2020). "Aftershock probabilistic seismic hazard analysis for Bushehr province in Iran using ETAS model". Natural Hazards, 100(3), 1159-1170.

Modeling spatial patterns and species associations in a Hyrcanian forest using a multivariate log-Gaussian Cox process

Jalilian, A., Safari, A., & Sohrabi, H. (2020). "Modeling spatial patterns and species associations in a Hyrcanian forest using a multivariate log-Gaussian Cox process". Journal of Statistical Modelling: Theory and Applications, 1-18.

Identifying parent locations in the Neyman-Scott process using Delaunay triangulation

Najari, N., Vahidi Asl, M. Q., & Jalilian, A. (2020). "Identifying parent locations in the Neyman-Scott process using Delaunay triangulation". Communications in Statistics-Simulation and Computation, 1-13.

Neyman-Scott process with skew-normal clusters

Najari, N., Vahidi Asl, M. Q., & Jalilian, A. (2020). "Neyman-Scott process with skew-normal clusters". Communications in Statistics-Theory and Methods, 1-20.

Nonparametric estimation of the pair correlation function of replicated inhomogeneous point processes.

Xu, G., Zhao, C., Jalilian, A., Waagepetersen, R., Zhang, J., & Guan, Y. (2020). "Nonparametric estimation of the pair correlation function of replicated inhomogeneous point processes". Electronic Journal of Statistics, 14(2), 3730-3765.

Small-sample comparison of the Gamma kernel and the orthogonal series methods of density estimation

Izadi, M., & Jalilian, A. (2020). "Small-sample comparison of the Gamma kernel and the orthogonal series methods of density estimation". Mathematical Researches, 6(3), 333-346.

Spatial and temporal variability of temperature in Iran for the twenty-first century foreseen by the CMIP5 GCM models

Miri, M., Samakosh, J. M., Raziei, T., Jalilian, A., & Mahmodi, M. (2021). "Spatial and temporal variability of temperature in Iran for the twenty-first century foreseen by the CMIP5 GCM models". Pure and Applied Geophysics, 178(1), 169-184.

A hierarchical spatio-temporal model to analyze relative risk variations of COVID-19: a focus on Spain, Italy and Germany

Jalilian, A., & Mateu, J. (2021). " A hierarchical spatio-temporal model to analyze relative risk variations of COVID-19: a focus on Spain, Italy and Germany". Stochastic Environmental Research and Risk Assessment, 35(4), 797-812.

Spatial heterogeneity in gender and age of fatal suicide in Iran

Rostami, M., Jalilian, A., Mahdavi, S. A., & Bagheri, N. (2021). Spatial heterogeneity in gender and age of fatal suicide in Iran. Journal of Research in Health Sciences, 22(1).

Assessing similarities between spatial point patterns with a Siamese neural network discriminant model

Jalilian, A., & Mateu, J. (2022). Assessing similarities between spatial point patterns with a Siamese neural network discriminant model. Advances in Data Analysis and Classification, 1-22.

Spatial point processes and neural networks: A convenient couple

Mateu, J., & Jalilian, A. (2022). Spatial point processes and neural networks: A convenient couple. Spatial Statistics, 100644.

Bayesian spatial analysis of age differences and geographical variations in illicit-drug-related mortality in the Islamic Republic of Iran

Rostami, M., Jalilian, A., Ghadirzadeh, M. R., Nazparvar, B., Rezaei-Zangeneh, R., & Karamouzian, M. (2023). Bayesian spatial analysis of age differences and geographical variations in illicit-drug-related mortality in the Islamic Republic of Iran. Eastern Mediterranean Health Journal, 29(1).

A deep learning approach to modeling spatial point patterns of locations of different tree species in a tropical rainforest

April 19, 2019

Talk at 4th International Conference on Natural Sciences: Mathematics & Computer, Sanandaj, Iran

A spatio-temporal model for locations of trees in the Barro Colorado Island plot

May 15, 2019

Talk at Point processes in space, time and beyond, Skagen, Denmark

A. Jalilian