List of Publications

1. ZAMBOM, A. Z., Kim, J. (2022) New Algorithms and Software for Significance Controlled Variable Selection. Statistics, Optimization & Information Computing, 10(3), 949-967.

2. ZAMBOM, A. Z., Collazos, J., and Dias, R. (2022) Selection of the Number of Clusters in Functional Data Analysis. Accepted at Journal of Statistical Computation and Simulation.

3. ZAMBOM, A. Z., Wang, Q., Dias, R. (2022) A Basis Approach to Surface Clustering. Statistics, Optimization & Information Computing, vol. 10, n. 2, pp. 339-351.

4. ZAMBOM, A. Z., Kim, S. and Garcia, N.L. (2021) Variable Length Markov Chain with exogenous covariates. Journal of Time Series Analysis (http://doi.org/10.1111/jtsa.12615).

5. ZAMBOM, A. Z. and Wang, Q. (2021) Testing Independence between Discrete Random Variables. Accepted at Communications In Statistics – Theory and Methods.

6. ZAMBOM, A. Z. and Seguin, B. (2021) Fastest motion planning for an unmanned vehicle in the presence of accelerating obstacles. Accepted at Computational and Applied Mathematics. 40, 119. https://doi.org/10.1007/s40314-021-01511-9

7. ZAMBOM, A. Z. and Kim*, J. (2020) Testing for Additivity in Nonparametric Heteroscedastic Regression Models. Journal of Nonparametric Statistics, vol 32, n. 3, pp. 793-813.

8. ZAMBOM, A. Z. and Gel, Y. (2020) Hypothesis testing for Exogenous Covariate Trends in Volatility Models. Electronic Journal of Statistics, vol 14, n. 2, pp. 2529-2550.

9. Kuhn, C. and ZAMBOM, A.Z. (2020) Perception of Crime and Actual Data: A Spatial and Temporal Analysis of Crime in Chicago. Electronic Journal of Applied Statistical Analysis, vol 13, No 1.

10. ZAMBOM, A. Z. and Matthews, G. J. (2019) Sure Independence Screening in the Presence of Missing Data. Statistical Papers, vol. 62, Issue 2, pp. 817-845.

11. Wang, Q. and ZAMBOM, A.Z. (2019) Subsampling-Extrapolation Bandwidth Selection in Bivariate Kernel Density Estimation. Journal of Statistical Computation and Simulation, vol. 89, Issue 9, pp. 1740-1759.

12. Todd, T., Miodrag, N., Bougher, S. C., and ZAMBOM, A. Z. (2019) A Peer Mentored Physical Activity Intervention: An Emerging Practice for Autistic College Students. Autism in Adulthood, vol 1, n. 3, pp. 232-237.

13. ZAMBOM, A. Z. and Kim*, J. (2018) Consistent Significance Controlled Variable Selection in High-Dimensional Regression. Stat, vol. 7, Issue 1. http://dx.doi.org/10.1002/sta4.210 * graduate student

14. ZAMBOM, A. Z., Seguin, B. and Zhao*, F. (2018) Robot Path Planning in a Dynamic Environment with Stochastic Measurements. Journal of Global Optimization, vol. 73, issue 2, pp. 389-410. * graduate student

15. ZAMBOM, A. Z. (2018) Optimal Mobile Robot Path Planning in the Presence of Moving Obstacles. International Journal of Vehicle Autonomous Systems, vol. 14, No. 1.

16. ZAMBOM, A. Z., Collazos*, J. A. A. and Dias, R. (2018) Functional data clustering via hypothesis testing K-means. Computational Statistics, vol. 34, issue 2, pp. 527-549. * graduate student

17. ZAMBOM, A. Z. and Akritas, M. G. (2018) Hypothesis Testing Sure Independence Screening for Nonparametric Regression. Electronic Journal of Statistics, vol.12, no. 1, 767-792.

18. Miller-Ensminger*, T. Garreto, A., Brenner, J., Thomas-White, K. ZAMBOM, A. Z., Wolfe, A. and Putonti, C. (2018) Bacteriophages of the Urinary Microbiome. Accepted at Journal of Bacteriology. Published online 29 January 2018, doi: 10.1128/JB.00738-17.

19. ZAMBOM, A. Z. and Kim, S. (2017) A Nonparametric Test for Heteroscedasticity in Multivariate Regression. The Canadian Journal of Statistics, vol. 45, pp. 425-441.

20. ZAMBOM, A. Z. and Kim, S. (2017) Lag selection and Model Validation in Nonparametric Autoregressive Conditional Heteroscedastic models. Journal of Statistical Planning and Inference, vol. 186, pp. 13-27.

21. ZAMBOM, A. Z. and Akritas, M. G. (2017). NonpModelCheck: An R Package for Nonparametric Lack-of-Fit Testing and Variable Selection. Journal of Statistical Software, vol. 77, issue 10. http://dx.doi.org/10.18637/jss.v077.i10

22. ZAMBOM, A. Z. and Ravikumar*, P. (2017) A comparative study of additive and nonparametric regression estimators and variable selection procedures. International Journal of Mathematical and Computational Sciences, vol. 11, n. 3. * graduate student

23. Kim, S. and ZAMBOM, A.Z. (2016) A Nonparametric Hypothesis Test for Heteroscedasticity. Journal of Nonparametric Statistics, vol. 28, pp. 752-767.

24. Collazos*, J. A. A., Dias, R. and ZAMBOM, A. Z. (2016). Consistent Variable Selection for Functional Regression Models. Journal of Multivariate Analysis. vol. 146, pp. 63-71. * graduate student

25. ZAMBOM, A. Z., Collazos*, J. A. A. and Dias, R. (2016) Constrained Optimization with Stochastic Feasibility Regions Applied to Vehicle Path Planning. Journal of Global Optimization, vol. 64, pp. 803-823. * graduate student

26. Souza, A. Z. Z., ZAMBOM, A. Z., Abboud, K.Y., Reis, S.K., Tannihao, F., Guadagnini, D., Saad, M.J.A. and Prada, P.O. (2015) Oral Supplementation with L-Glutamine Alters Gut Microbiota of Obese and Overweight Human Adults: A Pilot Study. Nutrition, vol. 31(6), 884-889.

27. ZAMBOM, A. Z. and Akritas, M. G. (2015) Nonparametric Significance Testing and Group Variable Selection. Journal of Multivariate Analysis, v. 133, pp. 51-60.

28. ZAMBOM, A. Z. and Akritas, M. G. (2014). Nonparametric Lack-of-fit Testing and Consistent Variable Selection. Statistica Sinica, vol. 24, pp. 1837-1858.

29. ZAMBOM, A. Z. and Dias, R. (2013) A Review of Kernel Density Estimation with Applications to Econometrics*. International Econometric Review, vol. 5, pp. 20. * 55 Citations

30. Dias, R., Garcia, N.L. and ZAMBOM, A. Z. (2012) Monte Carlo Algorithm for Trajectory Optimization based on Markovian Readings. Computational Optimization and Applications. vol. 51, pp. 305-321.

31. Dias, R., Garcia, N.L. and ZAMBOM, A. Z. (2010) A Penalized Nonparametric Method for Nonlinear Constrained Optimization based on Noisy Data. Computational Optimization and Applications. vol. 45, pp. 521-541.