Contributed thematic sessions

  • CS1 - Probabilistic and statistical aspects of data privacy
    Organizer: Mario Diaz, IIMAS - UNAM

    Shahab Asoodeh, McMaster University
    Local Differential Privacy From the Lens of Contraction of Markov Kernels

    Mario Diaz, IIMAS - UNAM
    A brief introduction to differential privacy

    Marco Avella Medina, Columbia University
    Differentially private inference via noisy optimization

  • CS2 - Stochastic Differential Equations and Applications
    Organizer: Soledad Torres, Universidad de Valparaíso

    Lauri Viitasaari, Uppsala University
    Sufficient variability of paths and differential equations with BV-coefficients

    Ernesto Mordecki, Universidad de la República
    Diffusions in Graphs: construction and optimal stopping problems

    Soledad Torres, Universidad de Valparaíso
    Representation of solutions to sticky stochastic differential equations

  • CS3 - Stochastic Differential Equations and Applications II
    Organizer: Christian Olivera, UNICAMP

    Johanna Garzón, Universidad Nacional de Colombia
    Forward stochastic differential equations with discontinuous diffusion

    Kerlyns Martínez, Universidad de Valparaíso
    Weak and strong convergence of the exponential-Euler scheme: a positive preserving time-discretization for SDEs with superlinear growth

    Zdzislaw Brzezniak, University of York
    Large Deviations for (1+1)-dimensional Stochastic Geometric Wave Equation

    Christian Olivera, UNICAMP
    Quantitative particle approximation of nonlinear Fokker-Planck equations with singular kernel

  • CS4 - Optimization and Robustness
    Organizer: Marco Avella Mediana, Columbia University

    Mauricio Junca, Universidad de los Andes
    Mode estimation via Optimal Transport

    Johannes Wiesel, Columbia University
    A new concentration inequality for the optimal transport cost between the true and empirical measure

    Zoraida F. Rico, Columbia University
    On robust statistical estimation

    Cynthia Rush, Columbia University
    On the Robustness to Misspecification of α-Posteriors and Their Variational Approximations

  • CS5 - Bayesian Methods for Complex Data Analysis
    Organizer: Fernando Quintana, Pontificia Universidad Católica de Chile

    Carlos Tadeu Pagani Zanini, Universidade Federal do Rio de Janeiro
    Variational Inference for Bayesian Bridge Regression

    María Fernanda Gil Leyva Villa, IIMAS-UNAM
    Stick-breaking processes with dependent length variables

    Fernando Quintana, Pontificia, Universidad Católica de Chile
    Childhood Obesity in Singapore: a Bayesian Nonparametric Approach

  • CS6 - Probabilistic Models for Latent Variables
    Organizer: Jorge González, Pontificia Universidad Católica de Chile

    Pedro M Araujo, University College Dublin
    A multi-unidimensional item response theory model using latent distance correlation structure

    Jorge Luis Bazan Guzman, Universidade de São Paulo
    Some Counts Item Response Models

    Mariana Curi, University of São Paulo
    Using VAE for Incomplete Educational Data

    Jorge González, Pontificia Universidad Católica de Chile
    On the unidentifiability of the fixed-effects 1PL-LPE model

Contributed talks

  • CT1 - Random walks and Brownian motion

    Daniel Ungaretti, UFRJ
    A Central Limit Theorem for intransitive dice

    Glauco Valle, Universidade Federal do Rio de Janeiro
    Polynomial ballisticity conditions and invariance principle for random walks in strong mixing environments

    Víctor Hugo Vázquez Guevara, Benemérita Universidad Autónoma de Puebla
    On the minimal random walk and its relation with Pólya urns

    Juan Carlos Pardo, Centro de Investigación en Matemáticas, A.C.
    Growth-fragmentation embedded in Brownian excursions from hyperplanes

    Roberto Viveros, IME-USP
    Directed Polymer for very heavy tailed random walks

    Ines Armendariz, IMAS UBA-CONICET
    Soliton decomposition of a Brownian path

  • CT2 - Percolation and stochastic processes

    Lucas R. de Lima, Universidade Federal do ABC
    The asymptotic shape of first-passage percolation models on random geometric graphs and its speed of convergence

    Sandro Gallo, Universidade Federal de São Carlos
    Critical surface for the multi-edges percolation model on oriented homogeneous trees

    Andressa Cerqueira, Universidade Federal de São Carlos
    Spatial Gibbs Random Graphs

    Pablo A. Gomes, IME-USP
    Long-range contact process on a dynamic random graph

    Juan Carlos Buitrago Oropeza, Moscow Institute of Physics and Technology
    Zero-one laws for random k-partite graphs

    Guilherme Ost, Universidade Federal do Rio de Janeiro
    Sparse Markov Models for High-Dimensional Inference

    Emilien Joly, CIMAT
    Obtaining concentration inequalities via Stein’s method

  • CT3 - Applied probability models

    Alejandro Hernández Wences, LAAS-CNRS
    Relative vs absolute fitness in a population genetics model

    Alejandra Quintos, University of Wisconsin-Madison
    Dependent Stopping Times and an Application to Credit Risk Theory

    Anatoli Iambartsev, Universidade de São Paulo
    Large deviation view on processes with catastrophes

    Carlos G. Pacheco, CINVESTAV
    A new model with random environment in financial mathematics

    Leonardo Videla, DMCC, Universidad de Santiago de Chile
    A proposal of stochastic prey-switching for Lotka-Volterra models

    Fabio Prates Machado, IME-USP
    Extinction time in growth models subject to geometric catastrophes

    Vanderlei da Costa Bueno, IME-USP
    On Inaccuracy Measure Between Non Explosive Point Processes With Applications

  • CT4 - Statistical models and applications

    Francisco F. Queiroz, IME-USP
    Power logit regression for modeling bounded data

    Jorge Lória, Purdue University
    SURE-tuned Bridge Regression

    Uriel Moreira Silva, Universidade Federal de Minas Gerais
    A Unified Framework for Sequential Parameter Learning with Regularization in State Space Models

    Maritza Márquez, Universidad Adolfo Ibáñez
    Classification using a joint model of longitudinal data and binary outcomes based on the SAEM algorithm

    Manuel González-Navarrete, Universidad de La Frontera
    Variational Bayesian lasso applied to chemometrics problems

    Olushina Olawale Awe, University of Campinas
    Novel supervised learning techniques for improving class probability estimates in high-dimensional data classification with asymmetric responses

  • CT5 - Bayesian methods

    Guilherme Lopes de Oliveira, Centro Federal de Educação Tecnológica de Minas Gerais
    Bayesian Dynamic Processes to Estimate Mortality Schedules in Small Areas

    Nancy Lopes Garcia, Universidade Estadual de Campinas
    Unsupervise Bayesian classification for mixed regression models with applications to predicting illness for milking cows