IS1: Modern Bayesian Methods and Applications.
Organizers: Eduardo Gutiérrez Peña, UNAM, México y Manuel Mendoza, ITAM, México
Speakers:
- María Lomelí, Babylon Health, UK. Amortised inference using a faithful inverse for sequential importance sampling
- Rosana Zenil-Ferguson, University of Hawaii, USA. When your favorite trait is not enough to explain diversification
- Pedro Regueiro, University of California, Santa Cruz, USA. Dynamic Evolution of Communities in Networks
IS2: Applied Bayesian Nonparametric
Organizer: Peter Mueller, UT Austin, USA
Speakers:
- Daniel Manrique-Vallier, Indiana University, USA. Simultaneous Edit and Imputation for Categorical Microdata
- Daiana Zuanetti, UFSCAR, Brazil. Bayesian nonparametric clustering for large data sets
- Giancarlo Sal y Rosas, PUCP, Perú. Bivariate BNP survival regression with partially semi-competing risks
IS3: Connections of p-values and Bayesian Measures of Evidence
Organizer: Luis Pericchi, Universidad de Puerto Rico, Puerto Rico
Speakers:
- Maria Eglee Perez, University of Puerto Rico, USA. Calibrating the amount of information through Bayesian asymptotics: The adaptive alpha
- Barbara Gonzalez , Northern Illinois University, USA. Pros and cons of changing the default significant threshold from 0.05 to 0.005
- Carlos Pereira, USP, Brazil. Blending Bayesian and Fisherian Tools to Build Optimal Significance Tests
- Luis Pericchi, Universidad de Puerto Rico, Puerto Rico. Converting P-Values in approximate Posterior Probabilities to increase the reproducible Scientific “Findings”
IS4: Highly Structured Systems
Organizer: Hedibert Freitas Lopes, Insper, Brasil
Speakers:
- Vinicius Mayrink, UFMG, Brazil. Spatio-temporal factor model with non-linear interactions for cluster analysis
- Flavio Bambirra, UFMG, Brazil. Exact Bayesian inference in spatiotemporal Cox processes driven by multivariate Gaussian processes
- Rafael Izbicki, UFSCar, Brazil. ABC-CDE: Towards Approximate Bayesian Computation with Complex High-Dimensional Data and Limited Simulations
IS5: Bayesian Statistics: Theory and Methods
Organizer: Francisco Javier Rubio, King’s College London, UK
Speakers:
- Andrés Christen, CIMAT, México. Posterior distribution error control in the Bayesian approach to UQ in inverse problems
- Eduardo Gutiérrez Peña, IIMAS, México. Families of multivariate distributions derived from conjugate exponential models
- Sergio Pérez Elizalde, COLPOS, México. A hierarchical Bayesian unit level model for small area estimation with log skew-normal random errors
IS6: Applied and Theoretical Aspects of Bayesian Nonparametric Modelling
Organizer: Fernando Quintana, PUC Chile, Chile
Speakers:
- Inés María Varas, PUC Chile, Chile. Equating methods through Bayesian nonparametric models
- Carlos Tadeu Pagani Zanini, Department of Statistics and Data Sciences, University of Texas at Austin, Austin, Texas, USA. A Bayesian Random Partition Model for Sequential Refinement and coagulation.
- Andrés Iturriaga, U. de los Andes, Chile. On Dependent Dirichlet Processes for General Polish Spaces
IS7: Recent Advances in Survival Analysis or Reliability
Description:
To discuss some recent advances in Survival or Reliability modeling under the new tendency of innovation and transfer of technology in finance, medicine and industry.
Organizer: Vera L. D. Tomazella, Universidade Federal de São Carlos, Brazil
Speakers:
- Francisco Louzada Neto, Universidade de São Paulo at São Carlos, Brazil. Zero-inflated cure rate regression models for lifetime data
- Pedro Luiz Ramos, Universidade Federal de São, São Carlos, SP, Brazil. Efficient closed-form MAP estimators for some survival distributions
- Marco Scavino, Universidad de la República-Montevideo, Uruguay. Bayesian study of metallic fatigue behavior considering space Poisson processes
Organizer: Andrés Christen, CIMAT, México
Speakers:
- Gabriel Huerta, Sandia National Laboratory, USA. Dealing with nuisance parameters in Bayesian model calibration
- Hugo Flores Arguedas, CIMAT, México. Bayesian mesh refinement technique for Magnetic Resonance Elastography (MRE)
- Cricelio Montesinos, CIMAT, México. Numerical Error Control in the Posterior Distribution for the Initial Condition Inverse Problem in a 2d Heat Equation
Organizer: Bruno Sanso, University of California Santa Cruz, USA
Speakers:
- Brenda Betancourt, University of Florida, USA. Exchangeable sequences of clusters for microclustering tasks
- Danilo Alvares, PUC Chile, Chile. Bayesian joint modeling of competing risks and longitudinal data: A sequential approach.
- Andrés Barrientos, Duke University, USA. On estimating team member abilities based on aggregate team scores
IS10: Junior Contributions to Bayesian Modeling and Inference
Description:
The Bayesian approach is attracting an increasing interest in several applied fields since it allows borrowing of information, coherent uncertainty quantification, shrinkage, inclusion of prior knowledge, modeling of complex dependence structures and tractable inference via the posterior distribution. This session on JUNIOR CONTRIBUTIONS TO BAYESIAN MODELING AND INFERENCE aims at hosting talks by junior researchers from Latin America who are currently working on providing advances in Bayesian inference from different perspectives, covering sampling, regression and high-dimensional sparse models.
Organizer: j-ISBA Section
Isadora Antoniano. Bocconi University, Italy
Speakers:
- Isabelle Beaudry, PUC Chile. A Bayesian approach to differential recruitment with respondent-driven sampling data
- Kelly Cristina, UFRJ, Brazil. Extensions of bayesian dynamic quantile linear models
- Henrique Bolfarine, USP, Brazil. Decoupling Shrinkage and Selection in Bayesian Factor Analysis
IS11: Statistics in the Environment
Organizer:
Alexandra Schmidt, McGill University, Canada
Speakers:
- Thais Fonseca, UFRJ, Brazil. Bayesian Cross-Validation of Geostatistical Models
- Eliane Rodrigues, UNAM, Mexico. Using a non-homogenous Poisson model with spatial anisotropy and change-points to study rate of ozone exceedances in Mexico City
- Renata Bueno, ENCE-IBGE, Brasil. Spatio-temporal models for heavy tailed skewed processes