Man

Fernando Andrés Quintana Quintana

Professor

Pontificia Universidad Católica de Chile

Santiago, Chile

Líneas de Investigación


Nonparametric Bayesian Statistics Statistical Computing Random Partition Models

Educación

  •  Statistics, UNIVERSITY OF WISCONSIN-MADISON. Estados Unidos, 1994
  •  Mathematical Civil Engineer, UNIVERSIDAD DE CHILE. Chile, 1987

Experiencia Académica

  •   Professor Full Time

    PONTIFICIA UNIVERSIDAD CATOLICA DE CHILE

    Mathematics

    Santiago, Chile

    1989 - A la fecha

Formación de Capital Humano


20+ years of experience teaching undergraduate and graduate courses in Statistics at the Department of Statistics, PUC.

Supervision of the following Ph.D. students: Héctor Gómez Geraldo (2004, Statistics, co-tutored with Reinaldo Arellano Valle); Rolando de la
Cruz Mesías (2005, Statistics); Carlos Navarrete (2007, Statistics); Paula Fariña (Statistics, co-tutored with Ernesto San Martín, 2009); Luis Gutiérrez (Statistics, 2011), Andrés Felipe Barrientos (Statistics, co-tutored with Alejandro Jara, 2012), José J. Quinlan (co-tutored with Garritt Page, 2017).

Supervision of the following Statistics M.Sc. student: Alejandro Jara Vallejos (2002), Andrés Silva Carmona (2004), Valeria Leiva Yamaguchi
(2013).


Premios y Distinciones

  •   Teachin Excellence Award

    PONTIFICIA UNIVERSIDAD CATOLICA DE CHILE

    Chile, 2008

    Award for excellence in teaching in the areas of physics and mathematics.

  •   Fellow

    American Statistical Association

    Estados Unidos, 2015

    Recognition award by the American Statistical Association.


 

Article (78)

A Bayesian Nonparametric Latent Approach for Score Distributions in Test Equating
Determinantal point process mixtures via spectral density approach
A Bayesian random partition model for sequential refinement and coagulation
Calibrating covariate informed product partition models
Density regression using repulsive distributions
Nonparametric Bayesian inference in applications
Dependent Species Sampling Models for Spatial Density Estimation
Fully Nonparametric Regression for Bounded Data Using Dependent Bernstein Polynomials
Semiparametric Bayesian Regression via Potts Model
A Bayesian Non-Parametric Dynamic AR Model for Multiple Time Series Analysis
A semiparametric Bayesian joint model for multiple mixed-type outcomes: an application to acute myocardial infarction
A semiparametric Bayesian model for multiple monotonically increasing count sequences
Bayesian Nonparametric Longitudinal Data Analysis
Rejoinder*
Spatial product partition models
Bayesian density estimation for compositional data using random Bernstein polynomials
Bayesian nonparametric estimation of test equating functions with covariates
Cluster-Specific Variable Selection for Product Partition Models
On species sampling sequences induced by residual allocation models
Predictions Based on the Clustering of Heterogeneous Functions via Shape and Subject-Specific Covariates
Bayesian inference for longitudinal data with non-parametric treatment effects
Optimal information in authentication of food and beverages
A Simple Class of Bayesian Nonparametric Autoregression Models
A Time Series Model for Responses on the Unit Interval
Defining Predictive Probability Functions for Species Sampling Models
BM-BC: a Bayesian method of base calling for Solexa sequence data
Borrowing Strength with Nonexchangeable Priors over Subpopulations
On the Support of MacEachern's Dependent Dirichlet Processes and Extensions
A Product Partition Model With Regression on Covariates
Bayesian first order auto-regressive latent variable models for multiple binary sequences
DPpackage : Bayesian Semi- and Nonparametric Modeling in R
DPpackage: Bayesian Semi- and Nonparametric Modeling in R
Logistic regression when covariates are random effects from a non-linear mixed model
Multivariate Bayesian discrimination for varietal authentication of Chilean red wine
MULTIVARIATE BAYESIAN SEMIPARAMETRIC MODELS FOR AUTHENTICATION OF FOOD AND BEVERAGES
Similarity analysis in Bayesian random partition models
BAYESIAN SEMIPARAMETRIC INFERENCE FOR MULTIVARIATE DOUBLY-INTERVAL-CENSORED DATA
Linear regression with a dependent skewed Dirichlet process
Random partition models with regression on covariates
Bayesian modeling using a class of bimodal skew-elliptical distributions
Discriminant Analysis for Longitudinal Data with Multiple Continuous Responses and Possibly Missing Data
Flexible Univariate Continuous Distributions
Nonparametric Bayesian modelling using skewed Dirichlet processes
A semiparametric Bayesian model for repeatedly repeated binary outcomes
Linear mixed models with skew-elliptical distributions: A Bayesian approach
Model-based clustering for longitudinal data
Semi-parametric Bayesian Inference for Multi-Season Baseball Data
Some issues in nonparametric Bayesian modelling using species sampling models
A model-based approach to Bayesian classification with applications to predicting pregnancy outcomes from longitudinal beta-hCG profiles
A new family of slash-distributions with elliptical contours
RANDOM-SET METHODS IDENTIFY DISTINCT ASPECTS OF THE ENRICHMENT SIGNAL IN GENE-SET ANALYSIS
Semiparametric Bayesian classification with longitudinal markers
Semiparametric Bayesian inference for multilevel repeated measurement data
A predictive view of Bayesian clustering
Testing for Differences Among Discrete Distributions: An Application of Model-Based Clustering
Bayesian identification of outliers and change-points in measurement error models
Bayesian robust estimation of systematic risk using product partition models
Nonparametric Bayesian modeling for multivariate ordinal data
Statistical inference for a general class of asymmetric distributions
A method for combining inference across related nonparametric Bayesian models
A new class of skew-normal distributions
Nonparametric Bayesian assessment of the order of dependence for binary sequences
Optimal sampling for repeated binary measurements
Bayesian clustering and product partition models
Consistency and Identifiability Revisited
Computational aspects of nonparametric Bayesian analysis with applications to the modeling of multiple binary sequences
Monte Carlo EM with importance reweighting and its applications in random effects models
Parametric partially exchangeable models for multiple binary sequence
Assessing the order of dependence for partially exchangeable binary data
Nonparametric Bayesian analysis for assessing homogeneity in k × l contingency tables with fixed right margin totals
Bayesian estimation of Beta-binomial models by simulating posterior densities
Blood Flow Distribution in Necrotic versus Nonnecrotic Rabbit Hearts
Effect of field of view on MR diagnosis of rotator cuff tears
Algunos avances recientes en Computación Estadística
Diagnosis of partial and complete rotator cuff tears using combined gradient echo and spin echo imaging
MR diagnosis of meniscal tears of the knee: importance of high signal in the meniscus that extends to the surface.
On a test for generalized upper truncated Weibull distributions
Parametrization in Factorial Generalized Linear Models

BookSection (3)

More Nonparametric Bayesian Models for Biostatistics
Testing for Temporal Dependence of Pollen Cone Production in Jack Pine (Pinus banksiana Lamb.)
Nonparametric Bayes Methods Using Predictive Updating

BookWhole (2)

Spatial species sampling and product partition models
Flexible and Nonparametric Modeling

ConferencePaper (2)

A New Equating Method Through Latent Variables
A dependent Bayesian nonparametric model for test equating

EditorialMaterial (3)

A Bayesian Nonparametric Modeling Framework for Developmental Toxicity Studies Comment
Hierarchical Bayesian Modeling of Hitting Performance in Baseball Comment
Nonparametric Bayesian methods

Proyecto (5)

METHODOLOGY, THEORY AND APPLICATIONS OF BAYESIAN DEPENDENT RANDOM PARTITION MODELS
BAYESIAN DEPENDENT RANDOM PARTITION MODELS=> NEW DEVELOPMENTS, CLUSTERING ALGORITHMS AND APPLICATIONS.
PARAMETRIC AND NONPARAMETRIC HIERARCHICAL BAYESIAN MODELS=> NEW DEVELOPMENTS, CLUSTERING ALGORITHMS, AND APPLICATIONS
PARAMETRIC AND NONPARAMETRIC APPROACHES TO BAYESIAN CLUSTERING.
Nonparametric Bayesian Methods and Clustering Algorithms=> Theoretical and Applied Aspects.

Review (1)

Nonparametric Bayesian data analysis
89
Fernando Quintana

Professor

Statistics

Pontificia Universidad Católica de Chile

Santiago, Chile

10
Rolando de la Cruz

Associate Professor

Faculty of Engineering and Sciences

Universidad Adolfo Ibáñez

Peñalolén, Santiago, Chile

8
Alejandro Jara

Associate Professor

Statistics

PONTIFICIA UNIVERSIDAD CATÓLICA DE CHILE

Santiago, Chile

4
Andrés Barrientos

Assistant Professor

Statistics

Florida State University

Tallahassee, Estados Unidos

3
Jorge González

Profesor Asociado

Estadística

PONTIFICIA UNIVERSIDAD CATOLICA DE CHILE, FACULTAD DE MATEMÁTICAS

Santiago, Chile

3
Luis Gutiérrez

Assistant Professor

Statistics

Pontificia Universidad Católica de Chile, Faculty of Mathematics

Santiago, Chile

2
Ines Varas

Docente

Estadística

Pontificia Universidad Católica de Chile

Santiago, Chile

2
Claudia Mardones

Académica

Departamento Análisis Instrumental

UNIVERSIDAD DE CONCEPCIÓN

Concepción, Chile

1
Dietrich von Baer

Profesor Titular

Análisis Instrumental

UNIVERSIDAD DE CONCEPCIÓN - FACULTAD DE FARMACIA

Concepción, Chile

1
YASNA ORELLANA

Académica ( Profesora Asistente)

Universidad de Chile

Santiago, Chile

1
Guido del Pino

Profesor Titular

Estadística

Pontificia Unversidad Católica de Chile

Santiago, Chile