Publications
Peer-reviewed articles
STATISTICS
Hansen B., Avalos-Pacheco A., Russo M., De Vito R. (2024),
Fast Variational Inference for Bayesian Factor Analysis in Single and Multi-Study Settings,
Journal of Computational and Graphical Statistics, (advance publication), pp. 1-42, doi: 10.1080/10618600.2024.2356173, arXiv.
This paper received a Student Paper Award from the New England Statistical Society (NESS) in 2024.
This paper received a Best Poster Award from the International Society of Bayesian Statistics (ISBA) in 2024.
Tiberi S, Meili J, Cai P, Soneson C, He D, Sarkar H, Avalos-Pacheco A., Patro R, Robinson M. (2024),
DifferentialRegulation: a Bayesian Hierarchical Approach to Identify Differentially Regulated Genes,
Biostatistics, (advance publication), doi: 10.1093/biostatistics/kxae017, bioRxiv.
Avalos-Pacheco A.†, Ventz S.†, Arfè A., Alexander B., Rahman R., Wen P., Trippa L. [†joint first author] (2023),
Validation of Predictive Analyses for Interim Decisions in Clinical Trials,
JCO - Precision Oncology, Statistical Analysis Section, 7, pp. e2200606, doi: 10.1200/PO.22.00606.
Avalos-Pacheco A., Rossell D., Savage, R. (2022),
Heterogeneous large datasets integration using Bayesian latent factor regression,
Bayesian Analysis, 17(1), pp. 33 - 66, doi: 10.1214/20-BA1240, arXiv.
Cross-disciplinary
Gressler L. E., Avila-Tang E., Mao J. L., Avalos-Pacheco A.§, Shaya F. T., Torosyan Y., Liebeskind A., Tomes M., Mack C., Normand S.L., Ritchey M. E., Marinac-Dabic D., [§corresponding author] (2024).
Data Sources and Applied Methods for Paclitaxel Safety Signal Discernment,
Frontiers in Cardiovascular Medicine, 10, pp. 1 - 17, doi: 10.3389/fcvm.2023.1331142.
Tyan K., Levin A., Avalos-Pacheco A., Plana D., Rand E., Yang H., Maliszewski L., Chylek L., Atta L., Tye M., Carmack M., Oglesby N. S., Burgin S., Yu S., LeBoeuf N., Kemp J. (2020),
Considerations for the Selection and Use of Disinfectants Against SARS-CoV-2 in a Healthcare Setting,
Open Forum Infectious Diseases, 7(9), pp. 1 - 4, doi 10.1093/ofid/ofaa396.
Discussions
Avalos-Pacheco A., Ballerini V., Pedone M., Müller P. (2023),
Discussion on: Causal Inference Under Mis-Specification: Adjustment Based on the Propensity Score by Stephens D. A., Nobre W. S., Moodie E. E. M., and Schmidt A. M.,
Bayesian Analysis, 18(2), pp. 680-682, doi: 10.1214/22-BA1322.
Avalos-Pacheco A., De Vito R., Wade S. (2021),
Discussion on: Centered Partition Processes: Informative Priors for Clustering by Paganin, S., Herring, A.H., Olshan A.F., Dunson, D.B.,
Bayesian Analysis, 16(1), pp. 351 - 355, doi: 10.1214/20-BA1197.
Submitted articles & PRE-Prints
STATISTICS
Avalos-Pacheco A., Lazzerini A., Lupparelli M., Stingo F. C.,
Bayesian Inference of Multiple Ising Models for Heterogeneous Public Opinion Survey Networks,
[invited R&R, available upon request].
Avalos-Pacheco A.†, Cronjäger M.†, Jenkins P.A., Hein J. [†joint first author],
An Almost Infinite Sites Model,
[invited major revision & available upon request].
De Vito R., Avalos-Pacheco A.
Multi-study Factor Regression Model: An Application in Nutritional Epidemiology,
[submitted].
Cross-disciplinary
Avalos-Pacheco A., Mack C., Ritchey M., White R., Sparks B., Hawaldar K., Resnic F., Snyder S. A., Yeh R., Pradham A., Shaya F., Mao J., Marinac-Dabic D., Gressler L.E.
Assessment of Limitations Associated with Paclitaxel Mortality Signal Available Data: A Case Study by an Advisory Committee Convened by the US FDA.
[submitted & available upon request].
edited books
Avalos-Pacheco A., De Vito R., Maire F. (2023),
Bayesian Statistics, New Generations New Approaches. BAYSM 2022, Montréal, Canada, June 22 - 23, Selected Contributions,
Springer Proceedings in Mathematics & Statistics, 435, doi: 10.1007/978-3-031-42413-7.
peer-reviewed proceedings
Avalos-Pacheco A., Lazzerini A., Lupparelli M., Stingo F. C. (2024+)
A Bayesian Multiple Ising Model.
BAYSM 2023, Virtual Conference, November 13 - 17, Selected Contributions,
Springer Proceedings in Mathematics & Statistics, [in press].
Hansen B., Avalos-Pacheco A., Russo M., De Vito R. (2023),
A Variational Bayes Approach to Factor Analysis.
Bayesian Statistics, New Generations New Approaches. BAYSM 2022, Montréal, Canada, June 22 - 23, Selected Contributions,
Springer Proceedings in Mathematics & Statistics, 435, pp. 1-7, doi: 10.1007/978-3-031-42413-7_2.
Avalos-Pacheco A., De Vito R. (2023)
Integrative Factor Models for Heterogeneous Biomedical Data.
CLADAG 2023 book of abstract and short papers, 14th Scientic Meeting of the Classification and Data Analysis Group, Salerno,
Pearson, Italy, pp. 50 - 53, ISBN: 978-88-9193-563-2.
dissertations
Avalos-Pacheco, A. (2019).
Factor regression for dimensionality reduction and data integration techniques with applications to cancer data.
PhD thesis, Department of Statistics, University of Warwick.
Winner of the 2019 Savage award for best PhD thesis in the category Applied Methodology, granted by the International Society of Bayesian Statistics (ISBA) and the American Statistical Association (ASA) Section on Bayesian Statistical Science (SBSS).
Avalos-Pacheco, A. (2014).
Visualization and Inference for Distance Data with Applications to Epigenetics.
MSc thesis, Department of Statistics, University of Warwick.
dissemination articles
Statistics: a data science for the twenty-first century talk by Prof. Peter Diggle