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NEW!
2025 STAT SUMMER INTERNSHIP (SSI) VOLUNTEERS ARE SOUGHT FOR MY GROUP. CURRENT PROJECTS:
- MOBILE APP FOR STATISTICAL DETERMINATION OF OLIVE HARVEST TIME FOR BEST QUALITY OLIVE OIL
- MOBILE APP FOR HIGH PRECISION EARLY WARNING FOR FROST TIME IN MALATYA REGION
- METU TREE RECOGNITION APP (JOINT WORK WITH METU CENTER FOR ECOSYSTEM RESEARCH)
- METU STAT IN-HOUSE APP
Education:
- Ph.D.: Department of Statistics, North Carolina State University, USA, 2002, thesis in Unit Root Testing in Stochastic Volatility Models (developed a method to test the volatility in financial series such as stock returns)
- M.S.: Department of Statistics, North Carolina State University, USA, 1999, with minor degree in Computational Engineering
- B.S.: Department of Statistics, Middle East Technical University, Türkiye, 1995, with minor courses from Computer Engineering
Academic and Professional Experience:
- 2022 - Present Professor of Statistics
- 2014 - 2022 Associate Professor of Statistics
- 2009- 2014 Assistant Professor of Statistics, METU
- 2007- 2009 Instructor, Department of Statistics, METU
- 2002-2007 Cancer data scientist, IMS Inc. for the National Cancer Institute, USA
Administrative Experience:
- 2025-present, Assistant to Head, Department of Statistics
- 2024-present, Administrative Board Member, Ecosystem Implementation and Research Center METU
- 2015-2019 Assistant to Head, Department of Statistics
- 2014-2017 Assistant to Manager, Center for Wind Energy Researh, METU
- 2012-2014 Assist. Prof. Representative Elect, Faculty Board, Faculty of Arts and Sciences
Research Focus:
My focus is developing state of the art statistical methodology that are used to understand the dynamics of environmental phenomena and health variables, in particular. The statistical models and inferential methods I develop are general in their applications and mostly Bayesian in their philosophy and technicality. Some examples of their specific uses are joint modeling of dependent spatially and temporally dynamic atmoshperic/environmental/molecular variables, modeling continuous physical phenomena depending on time-dependent evolutions of other related variables, predicting the directions of spatially dynamic phenomena (such as wind direction and movement of migratory birds). Current research revolves around risk modeling for breast cancer and mammographical images.
Teaching:
I am experienced in teaching foundation of statistical theory, particularly mathematical statistics, statistical inference and theory of Bayesian analysis
Selected Publications:
- Surucu, B. and Kalaylioglu, Z. (2025), A goodness-of-fit-test for GSSvM distribution (in progress)
- Danisman, F.B., Oflaz, Z. and Kalaylioglu, Z., Dogan, L., Kulturoglu, M. (2025), A latent Markov based approach for mammogram density and breast cancer risk (in progress)
- Kulturoglu, M., Dogan L., Danisman F.B., and Kalaylioglu Z (2025), A two-stage approach for rate of mammogram density change and breast cancer risk (in submission)
- Ciftci, S. and Kalaylioglu, Z. (2024), A Bayesian hybrid method for the analysis of generalized linear models with Missing-Not-At-Random Covariates, Journal of Statistical Computation and Simulation, 94(18), 4179-4209
- Kalaylioglu, Z. (2022), Analysis of correlated circular and extremal data with a novel flexible cylindrical distribution, Environmental and Ecological Statistics, 29, 207-222
- Camli, O. , Kalaylioglu, Z., and SenGupta, A. (2022), Variable selection in linear-circular regression models, Journal of Applied Statistics, 50(16), 3337-3361
- Kilic, M.B. , Kalaylioglu, Z., and SenGupta, A. (2022), A flexible Bayesian mixture approach for multi-modal circular data, HJMS, 1160-1173
- Camli, O. and Kalaylioglu, Z. (2021), Bayesian predictive model selection in circular random effects models with applications in ecological and environmental studies, Environmental and Ecological Statistics, 28, 21-34
- Hassanzadeh, F. and Kalaylioglu, Z. (2018), A new multimodal and asymmetric bivariate circular distribution, Environmental and Ecological Statistics, 25(3), 363-385
- Tanju, O. and Kalaylioglu, Z. (2018), A cluster based model selection approach for logistic regression classifier, Journal of Statistical Computation and Simulation, 88(7), 1394-1414
- Kalaylioglu, Z. and Demirhan, H., (2017), A joint Bayesian approach for the analysis of response measured at a primary endpoint and longitudinal measurements, Statistical Methods in Medical Research, 26(6), 2885–2896
- Karagulle, S. and Kalaylioglu, Z. (2016), A test for detecting etiologic heterogeneity in epidemiological studies, Journal of Applied Statistics, 43(3), 538-549
- Demirhan, H. and Kalaylioglu, Z. (2015), Joint prior distributions for variance parameters in normal hierarchical models, Journal of Multivariate Analysis, 135, 163-174
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Kalaylioglu, Z. (2014), Performances of Bayesian model selection criteria for generalised linear models with nonignorably missing covariates, Journal of Statistical Computation and Simulation, 84(8),1670-1691
Certified trainings
- Hatha Yoga teacher (International Yoga Alliance)
- Pranayama (Breathing) teacher (International Yoga Alliance)
- Permaculture Designer (Australian Permaculture Institute)
- Farming (olive and vineyard) (Türkiye Tarım Bakanlığı kayıtlı çiftçi)
- Amateur Sailor (licensed both in USA and Türkiye) and wireless operator
- First Aid (TC Sağlık Bakanlığı)
- Patient and Elderly Care (Sakarya Üniversitesi and Anadolu Üniversitesi)
Non-certified trainings
- Permaculture (Oregon State University)
- Whole Farm Sustainable Pest Management (Wild Farm Alliance)
- Biodynamic Agriculture (Istafil Çiftliği)
- Olive Oil tasting (Zeytindostu Derneği)
- Landscape Architecture (Ankara Üniversitesi)
- Latin dance (Washington DC)
- Ashtanga yoga (Washington DC)
- Flute and Acustic guitar (several private lessons in USA and Turkey)
- Long time Club tennis player (Montgomery County Tennis Association, Sports International Bilkent, Ankara Tenis Kulübü, ODTÜ Tenis) (1994-2018)
- Ongoing trainings in Tibetan Buddhism (FPMT centers)
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