Poster Guidelines
The Poster must be A0 size (84.1 x 118.9 cm) in portrait orientation. The organizers will provide with fixing material to display your poster on the poster board. Please make sure your poster is put up before the start of the session and removed after it has ended.
Day: 19/06/2019
Schedule: 14h00 at 14h30 and 16h00 at 16h30
PO 1.1 – MODELS AUTOREGRESSIVE VECTORS FOR THE TRANSMISSION OF MONETARY POLICY IN CHILE Danys Alberto Rodríguez, Pontificia Universidad Católica de Valparaíso, Chile.
PO 1.2 – MODEL SELECTION IN FINANCIAL INTERACTION MODELS: A BAYESIAN APPROACH Paula Maria Almonacid, Universidad Nacional de Colombia, Colombia.
PO 1.3 – BAYESIAN LEE-CARTER MODEL WITH DYNAMIC IMPROVEMENT Larissa Carvalho, Ence, IBGE, Brazil
PO 1.4 – SPATIAL BAYESIAN MODEL APPLIED TO RATE OF VIOLENCE HOMICIDES IN THE BRAZILIAN FEDERAL UNITS João Vitor Magri,UTFPR, Brazil.
PO 1.5 – BAYESIAN UNCERTAINTY QUANTIFICATION IN ODE SYSTEMS Juan Daniel Molina, CIMAT, México.
PO 1.6 – EFFECT OF THE CENSORING CRITERIA WHEN MODELLING UNDERREPORTED INFANT MORTALITY COUNTS Guilherme Lopes de Oliveira, Departamento de Computação, CEFET-MG, Belo Horizonte, Brazil.
PO 1.7 – BAYESIAN RESIDUAL ANALYSIS FOR SPATIALLY CORRELATED DATA Viviana Lobo, UFRJ, Brazil.
PO 1.8 – CONGLOMERATES OF NON-LINEAR INTERACTIONS IN A FACTOR MODEL Erick Amorim, UFMG, Brazil.
PO 1.9 – SENSITIVITY ANALYSIS FOR VARIANCE COMPONENTS IN A LINEAR HIERARCHICAL MODEL Jessica María Rojas, Universidad Nacional de Colombia, Colombia.
PO 1.10 – COMPARISON OF THE MULTIPLE IMPUTATION METHODS, BAYESIAN METHODS AND ITERATIVE CONVEX MINORANT ALGORITHM (ICM) UNDER THE COX PROPORTIONAL HAZARDS MODEL FOR GENERAL INTERVAL-CENSORED DATA Olga Alexandra Bustos, Escuela de Estadística, Facultad de Ciencias, Universidad Nacional de Colombia, Medellín, Colombia.
PO 1.11 – BAYESIAN ESTIMATE OF KENDALL’S $TAU$ CORRELATION COEFFICIENT FOR BIVARIATE DATA WITH INTERVAL CENSORED Jessica Serna Morales, Escuela de Estadística, Facultad de Ciencias, Universidad Nacional de Colombia, Medellín, Colombia.
PO 1.13 – BAYESIAN QUANTILE ANALYSIS FOR LOSS RESERVING MODELS Fábio Vieira, Department of Statistics, Institute of Mathematics, Federal University of Rio de Janeiro, Brazil.
PO 1.14 – BAYESIAN INFERENCE IN THE Q-EXPONENTIAL REPARAMETRIZED MODEL AND THE INFORMATION CONFLICT Antonia Alessandra Lemos, IME, USP, Brazil.
PO 1.15 – ESTIMATION OF THE DISEASE PREVALENCE WHEN DIAGNOSTIC TESTS ARE SUBJECT TO CLASSIFICATION ERROR: BAYESIAN APPROACH Evelyn Patricia Gutierrez, PUCP, Perú.
PO 1.16 – APPLICATION OF A BAYESIAN COMPETITIVE RISKS MODEL TO THE INCOMING DATA OF THE PUCP Erick Dennis Saavedra, PUCP, Perú.
PO 1.17 – BAYESIAN DYNAMIC LINEAR MODELS FOR DEGRADATION DATA Guilherme A. Veloso, Departamento de Estatística, Universidade Federal de Minas Gerais.
Day: 20/06/2019
Schedule: 14h00 at 14h30 and 16h00 at 16h30
PO 2.1 – IMPROVING REVERSIBLE-JUMP MCMC IN RECOMBINATION WITHIN BACTERIA Felipe Javier Medina, University of Reading, UK.
PO 2.2 – ROBUSTNESS TO OUTLIER ASSESSMENT IN SKEW-T MODELS THROUGH DIVERGENCE MEASURES IN THE BAYESIAN APPROACH Simone Bega Harnik, IME, USP, Brazil.
PO 2.3 – A COMPARISON OF TWO POISSON MEANS USING WEIGHTED LIKELIHOODS AND THE NNP PRINCIPLE Andres Felipe Florez, IME, USP, Brazil.
PO 2.4 – MONITORING TIME SERIES USING BAYES FACTORS João Batista de Morais Pereira, UFRJ, Brazil.
PO 2.5 – ADAPTIVE SIGNIFICANCE LEVELS IN REGRESSION MODELS Alejandra Estefanía Patiño, IME, USP, Brazil.
PO 2.6 – SPARSE BAYESIAN MODEL OF BINARY RESPONSE WITH ASYMMETRIC LINK FUNCTION FOR TEXT CATEGORIZATION Hugo Miguel Agurto, University of Piura – Institute of Mathematics and Statistics of the University of São Paulo.
PO 2.7 – DYNAMIC MODELS FOR CENSORED DATA Gustavo Henrique Mitraud Assis, Ence, IBGE, Brazil.
PO 2.8 – A SEQUENTIAL AND FULLY BAYESIAN INFERENCE FOR LINEAR MIXED-EFFECTS MODELSIván Esteban Gutiérrez, Pontificia Universidad Católica de Chile, Chile.
PO 2.9 – ESTIMATION OF THE NUMBER OF PREGNANCY BY CANTON IN COSTA RICA: A COMPARISON UNDER THE BAYESIAN APPROACH OF THE HIERARCHICAL MODEL AND THE SPACE HIERARCHICAL MODEL Adriana Guzmán, Universidad de Costa Rica.
PO 2.10 – APPLICATION OF THE HAMILTONIAN MONTE CARLO METHOD IN HEAT TRANSFER PROBLEMSLucas José Gonçalves, UERJ, Brazil.
PO 2.11 – ESTIMATION OF THE NUMBER OF VICTIMS OF CRIMES BY CANTON IN CITIZENS OF COSTA RICA: A COMPARISON UNDER THE BAYESIAN APPROACH OF THE HIERARCHICAL MODEL AND THE SPACE HIERARCHICAL MODEL Korina Sofía Quirós, Universidad de Costa Rica.
PO 2.12 – JOINT MODELING OF CONDITION AND BEHAVIOR IN MOVEMENT ECOLOGY Vianey Leos, Iowa State University, USA.
PO 2.13 – BAYESIAN ANALYSIS OF MEANS COMPARISON FOR INDEPENDENT SAMPLES Leticia Vásquez, Universidad de Costa Rica.
PO 2.14 – ANALYSIS OF SATISFACTION WITH THE QUALITY OF LIFE IN THE CITY OF LA PAZ Omar Chocotea, Universidad de Valparaíso, Chile.
PO 2.15 – USAGE OF SYNTHETIC DATA FOR THE QUANTIFICATION OF THE UNCERTAINTY OF A BAYESIAN MODEL OF ELECTRICAL IMPEDANCE TOMOGRAPHY Paula Andrea Giraldo, Escuela de Estadística, Facultad de Ciencias, Universidad Nacional de Colombia, Medellín, Colombia.
PO 2.16 – APPROACHES TO MODEL SPECIFICATION FOR REGRESSION ANALYSIS WITH CORRELATED, ENDPOINT-INFLATED BOUNDED COUNT DATA Boris Manuel Fazio, PUCP, Perú.
PO 2.17 – Simulation Methods for Synthetic Geographic Data for Confidencial Datasets Leticia Silva Nunes, UFMG, Brazil.
PO 2.18 – A BAYESIAN APPROACH TO BALANCE DEMAND AND SUPPLY PLANNING ON DIRECT SELLING AT PERUVIAN MARKET José Antonio Taquia, Universidad de Lima.
PO 2.19 – AN OVERVIEW OF BAYESIAN STATISTICS IN AGRICULTURAL RESEARCH AND BIOTECHNOLOGY Ivan Ruiz Hernandez, Universidad Veracruzana.