Luis R. Pericchi
Luis R. Pericchi publishes mostly in Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty, on topics such as Advanced Statistical Methods and Models, Statistical Methods and Bayesian Inference and Bayesian Modeling and Causal Inference.
- World rank
- #738,513 of 1,633,909 ranked researchers
- Rank in Venezuela
- #259 of 754
- Works
- 24
- Citations
- 122
- Citations per work
- 5.1
What does Luis R. Pericchi research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Statistics and Probability42% of their works
- 2Artificial Intelligence18% of their works
- 3Statistics, Probability and Uncertainty8% of their works
- 4Economics and Econometrics5% of their works
- 5Mechanical Engineering5% of their works
- 6Environmental Engineering3% of their works
Research topics
- Advanced Statistical Methods and Models
- Statistical Methods and Bayesian Inference
- Bayesian Modeling and Causal Inference
- Advanced Statistical Process Monitoring
- Statistical Distribution Estimation and Applications
- Bayesian Methods and Mixture Models
- Explainable Artificial Intelligence (XAI)
- Imbalanced Data Classification Techniques
Which keywords describe Luis R. Pericchi's research?
The keywords of their largest research topics: Multicollinearity, Regression Analysis, Bayesian Modeling, Multiple Imputation, Bayesian Networks, Causal Inference, Bayesian Inference and Healthcare Improvement.
- Machine Learning Interpretability
- Imbalanced Data
- Classification
- Generalized Exponential
- Healthcare Improvement
- Causal Inference
- Multiple Imputation
- Regression Analysis
- Multicollinearity
- Bayesian Modeling
- Bayesian Networks
- Bayesian Inference
- Statistical Process Control
- Skew Distributions
- Clustering
- Interpretable Models
- Mixture Models
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.
All 17 words, with their numbers
- Multicollinearity61 topic
- Regression Analysis61 topic
- Bayesian Modeling51 topic
- Multiple Imputation51 topic
- Bayesian Networks41 topic
- Causal Inference41 topic
- Bayesian Inference32 topics
- Healthcare Improvement31 topic
- Statistical Process Control31 topic
- Generalized Exponential21 topic
- Skew Distributions21 topic
- Classification11 topic
- Clustering11 topic
- Imbalanced Data11 topic
- Interpretable Models11 topic
- Machine Learning Interpretability11 topic
- Mixture Models11 topic
Where does Luis R. Pericchi work?
Luis R. Pericchi's main affiliation in the publication record is Simón Bolívar University, Venezuela.
How many publications and citations does Luis R. Pericchi have?
Science Explorer counts 24 works and 122 citations for Luis R. Pericchi, ranking #738,513 of 1,633,909 researchers worldwide on the composite score.
Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics are in the interactive view on the map. Is this your page? Request a correction or removal.