Luis E. Nieto-Barajas
Scholar

Luis E. Nieto-Barajas

Google Scholar ID: SkS4J98AAAAJ
Full Time Professor of Statistics, ITAM
Bayesian BiostatisticsBayesian Nonparametric StatisticsSurvival AnalysisBayesian ComputationStochastic Processes
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
350
 
H-index
10
 
i10-index
12
 
Publications
20
 
Co-authors
0
 
Contact
Emaillnieto@itam.mxCVOpen ↗LinkedInOpen ↗
Publications
3 items
A binary factor model
2026
Cited
0
The Dirichlet Process as sampling distribution
2026
Cited
0
Modelling heavy tail data with bayesian nonparametric mixtures
2026
Cited
0
Resume
Academic Achievements
  • Published multiple academic papers, including but not limited to:
  • - Bayesian nonparametric mixtures of Archimedean copulas (2025)
  • - Generalised bayesian sample copula of order m (2024)
  • - Multivariate and regression models for directional data based on projected Pólya trees (2024)
  • - Dealing with missing data under stratified sampling designs where strata are study domains (2024)
  • - SARS-CoV-2 seroprevalence and respiratory disease disability claims in Mexico City Metropolitan Area (2023)
  • - General dependence structures for some models based on exponential families with quadratic variance functions (2022)
  • - Bayesian nonparametric dynamic hazard rates in evolutionary life tables (2022)
  • - Optimal stratification of survival data via Bayesian nonparametric mixtures (2022)
  • - Dependence on a collection of Poisson random variables (2022)
  • - A class of dependent Dirichlet processes via latent multinomial processes (2021)
  • - Projected Pólya tree (2021)
  • - BNPdensity: Bayesian nonparametric mixture modeling in R (2021)
  • - Descomposición factorial de los datos oficiales de COVID-19 en México (2021)
  • - A gamma moving average process for modelling dependence across development years in run-off triangles (2021)
  • - Portfolio recommendations to improve risk of default in microfinance (2021)
  • - Bayesian regression with spatio-temporal varying coefficients (2020)
  • - A bayesian semiparametric archimedean copula (2020)
  • - Análisis jerárquico de las emisiones de gases efecto invernadero en México (2019)
  • - Model-based approach for ... (incomplete)
Research Experience
  • Full-time Professor and Department Head
Background
  • Research Interests: Group analysis, Survival analysis, Bayesian biostatistics, Copulas, Bayesian computation, Nonparametric Bayesian statistics, Dependent models (spatial and temporal).
Miscellany
  • Contact: lnieto at itam.mx