Pautas para el póster
El póster debe ser de tamaño A0 (84.1 x 118.9 cm) en orientación vertical. Los organizadores proporcionarán material de fijación para exhibir su póster. Asegúrese de que su póster esté colocado antes del inicio de la sesión y que se retire una vez que haya finalizado.
Día: 19/06/2019
Horario: 14h00 a las 14h30 y 16h00 a las 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.
Día: 20/06/2019
Horario: 14h00 a las 14h30 y 16h00 a las 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.