Luis R. Pericchi

8.0k total citations · 1 hit paper
71 papers, 2.3k citations indexed

About

Luis R. Pericchi is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Luis R. Pericchi has authored 71 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Statistics and Probability, 13 papers in Artificial Intelligence and 9 papers in Statistics, Probability and Uncertainty. Recurrent topics in Luis R. Pericchi's work include Statistical Methods and Bayesian Inference (29 papers), Advanced Statistical Methods and Models (20 papers) and Statistical Methods and Inference (16 papers). Luis R. Pericchi is often cited by papers focused on Statistical Methods and Bayesian Inference (29 papers), Advanced Statistical Methods and Models (20 papers) and Statistical Methods and Inference (16 papers). Luis R. Pericchi collaborates with scholars based in Puerto Rico, Venezuela and United States. Luis R. Pericchi's co-authors include James O. Berger, Stuart Coles, Scott A. Sisson, María-Eglée Pérez, Peter Walley, A. F. M. Smith, Joris Mulder, Bruno Sansó, Maria Gloria Domínguez-Bello and Anthony O’Hagan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and PLoS ONE.

In The Last Decade

Luis R. Pericchi

67 papers receiving 2.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Intrinsic Bayes Factor for Model Selection and Prediction

1996 617 citations James O. Berger, Luis R. Pericchi Journal of the American Statistical Association profile →

Peers

Countries citing papers authored by Luis R. Pericchi

Since Specialization

Citations

This map shows the geographic impact of Luis R. Pericchi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Luis R. Pericchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luis R. Pericchi more than expected).

Fields of papers citing papers by Luis R. Pericchi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luis R. Pericchi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Luis R. Pericchi. The network helps show where Luis R. Pericchi may publish in the future.

Co-authorship network of co-authors of Luis R. Pericchi

This figure shows the co-authorship network connecting the top 25 collaborators of Luis R. Pericchi. A scholar is included among the top collaborators of Luis R. Pericchi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Luis R. Pericchi. Luis R. Pericchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	An Objective and Robust Bayes Factor for the Hypothesis Test One Sample and Two Population Means 2024 ·Entropy ·(unknown), Luis R. Pericchi	0
2	Invited Discussion of J.O. Berger: Four Types of Frequentism and Their Interplay with Bayesianism 2023 ·Luis R. Pericchi	0
3	Barriers and facilitators to anal cancer screening among people living with HIV in Puerto Rico 2023 ·BMC Public Health ·Gabriela De la Cruz, (unknown), (unknown), Vivian Colón‐López, Karen J. Ortiz‐Ortiz, Luis R. Pericchi, Ashish A. Deshmukh, Ana P. Ortíz	3
4	Development of a multivariable prediction model for anal high-grade squamous intraepithelial lesions in persons living with HIV in Puerto Rico: a cross-sectional study 2022 ·The Lancet Regional Health - Americas ·Marievelisse Soto‐Salgado, Erick Suárez, (unknown), Luis R. Pericchi, (unknown), Ashish A. Deshmukh, Maribel Tírado-Gómez, Ana P. Ortíz	2
5	Enhancing Undergraduate Education and Curriculum through an Interdisciplinary and Quantitative Initiative to Broaden Participation in Big Data 2020 ·(unknown), (unknown), (unknown), Luis R. Pericchi, (unknown), (unknown)	1
6	Comparing Gaussian graphical models with the posterior predictive distribution and Bayesian model selection. 2020 ·Psychological Methods ·Donald R. Williams, Philippe Rast, Luis R. Pericchi, Joris Mulder	51
7	Prior-based Bayesian information criterion 2019 ·M. J. Bayarri, James O. Berger, Woncheol Jang, Surajit Ray, Luis R. Pericchi, Ingmar Visser	2
8	BAYES FACTORS AND MARGINAL DISTRIBUTIONS IN INVARIANT SITUATIONS 2016 ·Luis R. Pericchi, (unknown)	26
9	Optimization of synthesis and peptization steps to obtain iron oxide nanoparticles with high energy dissipation rates 2015 ·Journal of Magnetism and Magnetic Materials ·(unknown), Andreina Chiu‐Lam, Ana C. Bohórquez, Lorena Maldonado-Camargo, María-Eglée Pérez, Luis R. Pericchi, Madeline Torres-Lugo, Carlos Rinaldi	31
10	An alternative to the Inverted Gamma for the variances to modelling outliers and structural breaks in dynamic models 2014 ·Brazilian Journal of Probability and Statistics ·(unknown), María-Eglée Pérez, Luis R. Pericchi	8
11	A Robust Bayesian Dynamic Linear Model to Detect Abrupt Changes in an Economic Time Series: The Case of Puerto Rico 2013 ·arXiv (Cornell University) ·(unknown), (unknown), Luis R. Pericchi	0
12	Changing statistical significance with the amount of information: The adaptive α significance level 2013 ·Statistics & Probability Letters ·María-Eglée Pérez, Luis R. Pericchi	35
13	Bacterial Community in the Crop of the Hoatzin, a Neotropical Folivorous Flying Bird 2008 ·Applied and Environmental Microbiology ·Filipa Godoy‐Vitorino, Ruth E. Ley, Zhan Gao, Zhiheng Pei, Humberto Ortiz‐Zuazaga, Luis R. Pericchi, María Alexandra García-Amado, Fabián A. Michelangeli, Martin J. Blaser, Jeffrey I. Gordon, Maria Gloria Domínguez-Bello	57
14	Short report: socioeconomic and seasonal variations of Helicobacter pylori infection in patients in Venezuela. 2002 ·American Journal of Tropical Medicine and Hygiene ·Maria Gloria Domínguez-Bello, (unknown), Moisés Guelrud, Jorge Vivas, Simón Peraza, María-Eglée Pérez, Luis R. Pericchi	20
15	Rhesus rotavirus-based quadrivalent vaccine is efficacious despite age, socioeconomic conditions and seasonality in Venezuela 2000 ·Vaccine ·María-Eglée Pérez, Roger I. Glass, (unknown), Luis R. Pericchi, Rosabel González, Albert Z. Kapikian, Irene Pérez‐Schael	3
16	Modification of christensen urease test as an inexpensive tool for detection of Helicobacter pylori 1997 ·Diagnostic Microbiology and Infectious Disease ·María Gloria Domínguez-Bello, Fabián A. Michelangeli, Roberto Romero, (unknown), (unknown), (unknown), (unknown), (unknown), Moisés Guelrud, María-Eglée Pérez, Luis R. Pericchi	10
17	The Intrinsic Bayes Factor for Model Selection and Prediction breakdown → 1996 ·Journal of the American Statistical Association ·James O. Berger, Luis R. Pericchi	617
18	Posterior Cumulant Relationships in Bayesian Inference Involving the Exponential Family 1993 ·Journal of the American Statistical Association ·Luis R. Pericchi, Bruno Sansó, (unknown)	4
19	Bayesian robustness for hierarchical ε-contamination models 1993 ·Journal of Statistical Planning and Inference ·Elı́as Moreno, Luis R. Pericchi	9
20	Prognostic indicators of chronic chagasic cardiopathy 1991 ·International Journal of Cardiology ·Raúl Espinosa, Luis R. Pericchi, Hugo Carrasco, Ananías A. Escalante, (unknown), (unknown)	50

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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