אודות
Developing statistical learning (inference and prediction) methodology for dynamic systems (applied to infectious diseases; system biology; clinical decision support)
Application of data mining and statistical/machine learning algorithms to spatio temporal data (GIS), mobile networks, digital advertising, and other domains of big data
Nonparametric statistics and deconvolution problems
Receiver Operating Characteristic (ROC) curve methodology in measurement error models
פרסומים
- Physics-Guided Inverse Regression for Crop Quality Assessment, Shulman, D., Israeli, A., Botnaro, Y., Margalit, O., Tamir, O., Naschitz, S., Gamrasni, D., Shir, O. M. & Dattner, I., Mar 2026, In: Journal of Agricultural, Biological, and Environmental Statistics. 31, 1, p. 121-144 24 p.
- Estimation of mixed-effects ordinary differential equation models linear in the parameters, Laskorunskyi, O., Chatterjee, S. & Dattner, I., 1 Mar 2026, In: Biometrics. 82, 1, ujag016.
- Dynamic expectancies: The independent role of within-person change in outcome expectancy in predicting overall treatment outcomes in psychotherapy for depression, Rozenkrantz, L., Laskorunskyi, O., Zilcha-Mano, S. & Dattner, I., 2026, In: Psychotherapy Research. 36, 4, p. 774-784 11 p.
- Embodied movement markers of alliance ruptures in psychotherapy: A machine learning study, Tchizick, A., Laskorunskyi, A., Dolev-Amit, T., Peysachov, G., Pizman, P., Deres-Cohen, K., Dattner, I. & Zilcha-Mano, S., 2026, (Accepted/In press) In: Psychotherapy Research.
- Artificial Intelligence and Communication Sciences and Disorders: A Bidirectional Frontier, Dattner, I., 2026, (Accepted/In press) In: Acta Cytologica. p. 1-12 12 p.
- Compensation for Matrix Effects in High-Dimensional Spectral Data Using Standard Addition, Khanonkin, E., Schechter, I. & Dattner, I., Feb 2025, In: Sensors. 25, 3, 612.
- Transfer learning for fault classification in heavy rotating machines, Greenberg, G., Cohen, R., Matania, O., Shoham, S., Dattner, I. & Bortman, J., 2025, 21st International Conference on Condition Monitoring and Asset Management, CM 2025. British Institute of Non-Destructive Testing, (21st International Conference on Condition Monitoring and Asset Management, CM 2025).
- Model Selection for Ordinary Differential Equations: A Statistical Testing Approach, Dattner, I., Gugushvili, S. & Laskorunskyi, O., Dec 2024, In: Biometrical Journal. 66, 8, e70013.
- A systematic literature review of deep learning for vibration-based fault diagnosis of critical rotating machinery: Limitations and challenges, Matania, O., Dattner, I., Bortman, J., Kenett, R. S. & Parmet, Y., 10 Nov 2024, In: Journal of Sound and Vibration. 590, 118562.
- Modelling motion energy in psychotherapy: A dynamical systems approach, Dattner, I., Nov 2024, In: British Journal of Mathematical and Statistical Psychology. 77, 3, p. 613-633 21 p.
- Discussion of signature-based models of preventive maintenance, Kenett, R. S., Dattner, I. & Bortman, J., 1 Jan 2023, In: Applied Stochastic Models in Business and Industry. 39, 1, p. 71-73 3 p.
- Digital twins and the future of precision mental health, Spitzer, M., Dattner, I. & Zilcha-Mano, S., 2023, In: Frontiers in Psychiatry. 14, 1082598.
- The role of statisticians in the response to COVID-19 in Israel: a holistic point of view, Dattner, I., Gal, R., Goldberg, Y., Goldshtein, I., Huppert, A., Kenett, R. S., Manor, O., Pfeffermann, D., Schechtman, E., di Serio, C. & Steinberg, D. M., Dec 2022, In: Israel Journal of Health Policy Research. 11, 1, 22.
- Data-driven clustering of infectious disease incidence into age groups, Yaari, R., Huppert, A. & Dattner, I., Dec 2022, In: Statistical Methods in Medical Research. 31, 12, p. 2486-2499 14 p.
- A Robust Server-Effort Policy for Fluid Processing Networks, Ship, H., Shindin, E., Boni, O. & Dattner, I., 2022, 2022 IEEE 61st Conference on Decision and Control, CDC 2022. Institute of Electrical and Electronics Engineers Inc., p. 5902-5909 8 p. (Proceedings of the IEEE Conference on Decision and Control; vol. 2022-December).
- Differential equations in data analysis, Dattner, I., 1 Nov 2021, In: Wiley Interdisciplinary Reviews: Computational Statistics. 13, 6, e1534.
- A guided FP-Growth algorithm for mining multitude-targeted item-sets and class association rules in imbalanced data, Shabtay, L., Fournier-Viger, P., Yaari, R. & Dattner, I., Apr 2021, In: Information Sciences. 553, p. 353-375 23 p.
- The role of children in the spread of COVID-19: Using household data from Bnei Brak, Israel, to estimate the relative susceptibility and infectivity of children, Dattner, I., Goldberg, Y., Katriel, G., Yaari, R., Gal, N., Miron, Y., Ziv, A., Sheffer, R., Hamo, Y. & Huppert, A., Feb 2021, In: PLOS Computational Biology. 17, 2, e1008559.
- Separable Nonlinear Least-Squares Parameter Estimation for Complex Dynamic Systems, Dattner, I., Ship, H. & Voit, E. O., 2020, In: Complexity. 2020, 6403641.
- simode: R Package for Statistical Inference of Ordinary Differential Equations using Separable Integral-Matching, Yaari, R. & Dattner, I., 2019, In: Journal of Open Source Software. 4, 44, 6 p.
- A two-stage approach for estimating the parameters of an age-group epidemic model from incidence data, Yaari, R., Dattner, I. & Huppert, A., 1 Jul 2018, In: Statistical Methods in Medical Research. 27, 7, p. 1999-2014 16 p.
- Modern statistical tools for inference and prediction of infectious diseases using mathematical models, Dattner, I. & Huppert, A., 1 Jul 2018, In: Statistical Methods in Medical Research. 27, 7, p. 1927-1929 3 p.
- Application of one-step method to parameter estimation in ODE models, Dattner, I. & Gugushvili, S., May 2018, In: Statistica Neerlandica. 72, 2, p. 126-156 31 p.
- Consistency of direct integral estimator for partially observed systems of ordinary differential equations, Vujačić, I. & Dattner, I., Jan 2018, In: Statistics and Probability Letters. 132, p. 40-45 6 p.
- Modelling and parameter inference of predator-prey dynamics in heterogeneous environments using the direct integral approach, Dattner, I., Miller, E., Petrenko, M., Kadouri, D. E., Jurkevitch, E. & Huppert, A., 1 Jan 2017, In: Journal of the Royal Society Interface. 14, 126, 20160525.
- Adaptive quantile estimation in deconvolution with unknown error distribution, Dattner, I., Reiß, M. & Trabs, M., Feb 2016, In: Bernoulli. 22, 1, p. 143-192 50 p.
- A model-based initial guess for estimating parameters in systems of ordinary differential equations, Dattner, I., 1 Dec 2015, In: Biometrics. 71, 4, p. 1176-1184 9 p.
- Time-course window estimator for ordinary differential equations linear in the parameters, Vujačić, I., Dattner, I., González, J. & Wit, E., 30 Nov 2015, In: Statistics and Computing. 25, 6, p. 1057-1070 14 p.
- Optimal rate of direct estimators in systems of ordinary differential equations linear in functions of the parameters, Dattner, I. & Klaassen, C. A. J., 19 Aug 2015, In: Electronic Journal of Statistics. 9, 2, p. 1939-1973 35 p.
- Deconvolution of P (X, Dattner, I., Aug 2013, In: Statistics and Probability Letters. 83, 8, p. 1880-1887 8 p.
- Estimation of distribution functions in measurement error models, Dattner, I. & Reiser, B., Mar 2013, In: Journal of Statistical Planning and Inference. 143, 3, p. 479-493 15 p.
- On deconvolution of distribution functions, Dattner, I., Goldenshluger, A. & Juditsky, A., Oct 2011, In: Annals of Statistics. 39, 5, p. 2477-2501 25 p.
- Statistical properties of the Hough transform estimator in the presence of measurement errors, Dattner, I., Jan 2009, In: Journal of Multivariate Analysis. 100, 1, p. 112-125 14 p.