De Vito R., Avalos-Pacheco A. (2025)
Multi-study Factor Regression Model: An Application in Nutritional Epidemiology,
Statistics in Medicine, 44: e70108, doi: 10.1002/sim.70108
Avalos-Pacheco A., Lazzerini A., Lupparelli M., Stingo F. C. (2025+),
Bayesian Inference of Multiple Ising Models for Heterogeneous Public Opinion Survey Networks,
Journal of the Royal Statistical Society: Series C, doi: 10.1093/jrsssc/qlaf028
Hansen B., Avalos-Pacheco A., Russo M., De Vito R. (2025),
Fast Variational Inference for Bayesian Factor Analysis in Single and Multi-Study Settings,
Journal of Computational and Graphical Statistics, 34(1), pp. 96–108, doi: 10.1080/10618600.2024.2356173
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.
Avalos-Pacheco A.†, Cronjäger M.†, Jenkins P.A., Hein J. [†joint first author] (2024),
An Almost Infinite Sites Model,
Theoretical Population Biology, 160, pp. 49-61, doi: 10.1016/j.tpb.2024.10.001
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, 25(4), pp. 1079–1093 doi: 10.1093/biostatistics/kxae017, bioRxiv.
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.
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.
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.
Avalos-Pacheco A., De Vito R., Zens G. (2025),
Discussion on: Sparse Bayesian Factor Analysis When the Number of Factors Is Unknown by Frühwirth-Schnatter S., Hosszejni D., and Freitas Lopes H. ,
Bayesian Analysis, 20(1), pp. 283-286, doi: 10.1214/24-BA1423.
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.
Avalos-Pacheco A., Lazzerini A., Lupparelli M., Stingo F. C. (2025+)
A Bayesian Multiple Ising Model.
New trends in Bayesian Statistics. BAYSM 2023, Online meeting, November 13-17, Selected Contributions,
Springer Proceedings in Mathematics & Statistics, doi: 10.1007/978-3-031-99009-0_4, (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.
Pichler C., Jewson J.‡, Avalos-Pacheco A.‡ [‡joint last author]
Probabilistic Programming with Sufficient Statistics for Faster Bayesian Computation
[submitted].
Mavis Liang, Blake Hansen, Avalos-Pacheco A.‡, De Vito R.‡ [‡joint last author]
Bayesian integrative factor analysis methods, with application in nutrition and genomics data
[submitted].
Avalos-Pacheco A., Bu F., Franzolini B., Hadj-Amar B. (2025+),
New trends in Bayesian Statistics. BAYSM 2023, Online meeting, November 13-17, Selected Contributions,
Springer Proceedings in Mathematics & Statistics, doi: 10.1007/978-3-031-99009-0, (in press).
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.
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.
Statistics: a data science for the twenty-first century talk by Prof. Peter Diggle