Coming Soon

  • Abdalla N. Telesca D., Ramachandran G., Arnold S., Bajernee S. Nonparametric Bayesian State Space Modeling of Physical Processes in Industrial Hygiene. [arxiv]

  • Shamshoian J., Senturk D., Jeste S., Telesca D., Bayesian Analysis of Multidimensional Functional Data. [arxiv]

  • Li Q.,  Senturk D., Sugar C., DiStefano C., Jeste S., Telesca D., Region-referenced Spectral Power Dynamics of EEG Signals: a Hierarchical Modeling Approach.[arxiv]


Statistical Methods

  • Watson G.L. Telesca D., Reid C.E., Pfister G. G., Jerrett M. (2019) Machine Learning Models Accurately Predict Ozone Exposure during Wildfire Events. Environmental Pollution, 254, A.

  • Scheffler A., Telesca D., Li Q.,  Sugar C., DiStefano C., Jeste S., Senturk D. (2019) Hybrid Principal Components Analysis For Region-Referenced Longitudinal Functional EEG Data. Biostatistics (In-press).

  • Li Q., Senturk D., Sugar C. A., Jeste. S., DiStefano C., Frohlich J., Telesca D.  (2019) Inferring Brain Signals Synchronicity from a Sample of EEG Readings. JASA, 114 (527), pp. 991-1001. [arxiv]

  • Hasenstab K., Scheffler A., Telesca D., Sugar C.A.. Jeste S., DiStefano C., and Senturk D. (2017) A Multi-Dimensional Functional Principal Components Analysis of EEG Data. Biometrics, Vol. 73(3), pp. 999-1009.

  • Rossell D., Telesca D. (2017). Non-local priors for high dimensional estimation. JASA, Vol. 112 (517), pp. 254-265 [.pdf]

  • Senturk D., Hasenstab K., Sugar C., Telesca D., Jeste S. (2016) Robust functional clustering of ERP data with application to a study of implicit learning in autism. Biostatistics, Vol. 17 (3), pp. 484-498.

  • Xu Y., Mueller P., Telesca D. (2016). Bayesian Inference for Latent Biologic Structure with Determinantal Point Precesses (DPP). Biometrics, Vol. 72, pp:955-964.

  • Hasenstab K, Sugar C, Jeste S, Telesca D, McEvoy K and Senturk D. (2015) Identifying longitudinal trends within EEG experiments. Biometrics, Vol. 71, pp: 1090-1100.

  • Low-Kam C., Telesca D., Ji Z. X., Zhang H. Y., Nel A. E., Xia T., Zink J. I. (2015). A Bayesian Regression Tree Approach to Identify the Effect of Nanoparticle Properties on Toxicity Profiles. The Annals of Applied Statistics, Vol. 9, pp: 383-401.

  • Yajima M., Telesca D., Ji Y. and Mueller P. (2015). Detecting Differential Patterns of Interaction in Molecular Pathways. Biostatistics, Vol. 16, pp: 240-251.

  • Kim S., Scalzo F., Telesca, D. and Hu X. (2015). Ensemble of Sparse Classifiers for High Dimensional Biological Data. Int. J. of Data Mining and Bioinformatics, Vol 2, 167-183.

  • Erosheva E., Matzueda R., Telesca, D. (2014). Breaking Bad: Reviewing Two Decades of Life Course Data Analysis in Criminology and Beyond. Annual Reviews of Statistics and Its Applications, 1, 301–332.

  • Patel T., Telesca D., Low-Kam C., Ji Z-X., Zhang H-Y., Nel A. E., Xia T., Zink J. I. (2014). Relating particle properties to biological outcomes in exposure escalation experiments. Environmetrics, 25 (1), 56–58.

  • Patel T., Telesca D., Rallo R, Xia T, George S. and Nel A. (2013). Hierarchical Rank Aggregation with Applications to Nanotoxicology. JABES, 18 (2), 159–177.

  • Telesca D., Mueller P., Parmigiani G. and Freedman, R.S. (2012). Modeling Dependent Gene Expression. Annals of Applied Statistics, 6 (2), 542–560.

  • Patel T., Telesca D., George S. and Nel A. (2012). Toxicity Profiling of Engineered Nanomaterials via Multivariate Dose Response Surface Modeling. Annals of Applied Statistics, 6 (4), 1707–1729.

  • Telesca D., Mueller P., Konrblau S., Suchard M. and Ji Y. (2012). Modeling Protein Expression and Protein Signaling Pathways. JASA, 107, 1372–1384.

  • Telesca D., Erosheva E., Kreger D. and Matzueda R. (2012). Modeling Criminal Careers as Departures from a Unimodal Population Age-Crime Curve: The Case of Marijuana Use. JASA, 107, 1427–1440.

  • Telesca D., Inoue L.Y.T., Neira M., Gleave M., Nelson C and Etzioni R. (2009). Differential Expression and Network Inferences through Functional Data Modeling. Biometrics, 65, 793–804.

  • Telesca D. and Inoue L.Y.T. (2008). Bayesian Hierarchical Curve Registration. JASA, 103 (481), 328–339.

  • Telesca D., Etzioni R. and Gulati R. (2008). Estimating Lead Time and Overdiagnosis Associated with PSA Screening from Prostate Cancer Incidence Trends. Biometrics, 64, 10–19.


Book Chapters

  • Telesca D. (2015). Bayesian Analysis of Curves Shape Variation through Registration and Regression. In Nonparametric Bayesian Methods in Biostatistics. Eds. Mitra R. and Mueller P. Springer.

  • Rossell D., Telesca D. and Johnson V.E. (2013). High Dimensional Bayesian Classifiers using Non-local Priors. In Statistical Models for Data Analysis, XV: 305-314. Eds. P. Giudici, S. Ingrassia, M. Vichy. Springer.



  • Zaunbrecher C, Beryt E, Parodi D, Telesca D, Doherty J, Malloy T, Allard P, (2017). Has Toxicity Testing Moved into the 21st Century? A Survey and Analysis of Perceptions in the Field of Toxicology. Environmental Health Perspectives, 125 (8).

  • Shabihkhani M, Telesca D, Movassaghi M, Naeini YB, Naeini KM, Hojat SA, Gupta D, Lucey GM, Ontiveros M, Wang MW, Hanna LS, Sanchez DE, Mareninov S, Khanlou N, Vinters HV, Bergsneider M, Nghiemphu PL, Lai A, Liau LM, Cloughesy TF, Yong WH. Incidence, survival, pathology, and genetics of adult Latino Americans with glioblastoma. Journal of Neuro Oncology. 2017, 132 (2), 351-358.

  • Chen Y, Shu L, Qiu Z, Lee DY, Settle SJ, Que Hee S, Telesca D, Yang X, Allard P. (2016). Exposure to the BPA-Substitute Bisphenol S Causes Unique Alterations of Germline Function. PLoS Genet. 2016 Jul 29;12(7).

  • McVeigh TP, Jung SY, Kerin MJ, Salzman DW, Nallur S, Nemec AA, Dookwah M, Sadofsky J, Paranjape T, Kelly O, Chan E, Miller N, Sweeney KJ, Zelterman D, Sweasy J, Pilarski R, Telesca D, Slack FJ, Weidhaas JB. (2015). Estrogen withdrawal, increased breast cancer risk and the KRAS-variant. Cell Cycle. Vol. 14(13). pp:2091-2099.

  • Arensman M.D., Telesca D., Lay A.R., Kernshaw K.M., Wu, N., Donahue. T., Dawson D. W. The CREB binding protein inhibitor ICG-001 suppresses pancreatic cancer growth. Mol Cancer Ther. 2014 Oct;13(10):2303-14.

  • Kaweeteerawat, C., Chang, C.H., Roy, K. R., Liu, R., Li, R. Toso, D., Fischer, H., Ivask, A., Ji, Z., Zink, J.I., Zhou, Z. H., Chanfreau, G.F., Telesca, D., Cohen, Y., Holden, P. A., Nel, A.E., Godwin, H. A. (2015). Cu Nanoparticles Have Different Impacts in Escherichia coli and Lactobacillus brevis than Their Microsized and Ionic Analogues. ACS NANO. Vol. 9 (7). pp: 7215 -7225.

  • McVeigh, T.P., Jung, SY., Kerin, M.J., Salzman, D.W., Nallur, S., Nemec, A. A., Dookwah, M., Sadofsky, J., Paranjape, T., Kelly, O., Chan, E., Miller, N., Sweeney, K.J., Zelterman, D., Sweasy, J., Pilarski, R., Telesca, D., Slack, F.J., Weidhaas, J.B. (2015). Estrogen withdrawal, increased breast cancer risk and the KRAS-variant. CELL CYCLE, Vol. 14(13). pp: 2091 – 2099.

  • Ivask A, ElBadawy A, Kaweeteerawat C, Boren D, Fischer H, Ji Z, Chang CH, Liu R, Tolaymat T, Telesca D, Zink JI, Cohen Y, Holden PA, Godwin HA. (2014). Toxicity Mechanisms in Escheria coli Vary for Silver Nanoparticles and Differ from Ionic Silver. ACS nano, 8 (1), pp 374-386.

  • Mareninov S., De Jesus J., Sanchez D.E., Kay A.B., Wilson R.W., Babic I., Chen W., Telesca D., Lou J.J., Mirsadraei L., Pham T.N., Khanlou N., Vinters H.V., Shafa B., Lai A., Liau L.M., Cloughesy T.F., Mischel P.S., Yong W.H. (2013). Lyophilized brain tumor specimens can be used for histologic, nucleic acid, and protein analyses after one year of room temperature storage. Journal of Neuro Onc., 113 (3), 365-373.

  • Xia T. Hamilton R.F., Bonner J.C., Crandal E.D., Elder E., Fazlollahi F., Girtsman T.A., Kim K. Mitra S., Ntim S.A., Orr G., Tagmount M., Taylor A.J., Telesca D., Tolic A., Vulpe C.D., Walker A.J., Wang X., Witzmann F. A., Wu N., Xie Y., Zink J., Nel A., Holian A. (2013). Inter-laboratory Evaluation of in Vitro Cytotoxicity and Inflammatory Responses of Engineered Nanomaterials: The NIEHS Nano GO Consortium. Environmental Health Perspectives, 121 (683-690).

  • Kobeissi L., Samari G., Telesca, D., Esfandiari M., Galal O. (2013). The impact of breast cancer knowledge and attitude on screening and early detection among an immigrant Iranian population in southern California. Journal of Religion and Health, (Online).

  • Brensilver M., Heinzerling K., Swanson AN., Telesca D., Furst B.A., Shoptaw S., (2013). Cigarette smoking as a target for potentiating outcomes for methamphetamine abuse treatment. Drug and Alcohol Review. 18, (2), 96-99.

  • Zhang H., Ji Z., Xia T., Meng H., Low-Kam C., Liu R., Pokhrel S., Lin S., Wang X., Liao YP., Wang M., Li LJ., Rallo R., Damoiseaux R., Telesca D., Madler L., Cohen Y., Zink J., Nel A. (2012). Use of Metal Oxide Nanoparticle Semiconductor Properties and Band Gap to Develop a Predictive Paradigm for the Oxidative Stress Injury and Acute Toxicological Potential in Cells and the Murine Lung. ACS Nano, 6 (5), 4349–4368.

  • Ivask A., Suarez E., Patel T., Boren D., Ji Z., Holden P., Telesca D., Damoiseaux R., Bradley K., Godwin H. (2012). Genome-wide Bacterial Toxicity Screening Uncovers the Mechanisms of Toxicity of Cationic Polystyrene Nanomaterials. Environmental Science and Technology, 46 (4), 2398–2405.

  • Yu E.Y., Gulati R., Telesca D., Jiang P., Tam S., Russell K.J., Nelson, P.S., Etzioni R.D., and Higano C.S., (2010). Duration of first off treatment interval is prognostic for time to castration resistance and death in men with biochemical relapse of prostate cancer treated on a prospective trial of intermittent androgen deprivation. Journal of Clinical Oncology, 28, 16, pp: 2668-2673.



Unpublished Technical Reports


  • Yajima M., Telesca D., Rosner G.L., Mueller P. Bayesian modeling of population pharmacogenetics.

  • Zhang Y, Telesca D. Joint clustering and registration of functional data.[arxiv]

  • Zhang Y, Horvath S, Ophoff R, Telesca D. Comparison of Clustering for Time-Course Genomic Data: Applications to Aging Effects. [arxiv]