Recent & Upcoming Talks

2019

IFCS 2019

A log-ratio approach to cluster analysis of count data when the total is irrelevant

CODAWORK 2019

A compositional approach to the generalised propensity score

IV AMYC

Could logratio methods be useful to analise the generalized propensity score?

2018

COMPSTAT 2018

Dealing with count zeros in compositional data analysis using the logratio-normal-multinomial distribution

SEIO 2018

Tratamiento de ceros en datos composicionales de cuentas usando la distribución log-cociente normal-multinomial

SEIO 2018

Una aproximación composicional a la puntuación generalizada a la propensión a tratamiento

2017

III AMYC

Estimating the parameters of a logistic-normal-multinomial distribution

IFCS 2017

Model-based clustering of count data based on the logistic-normal-multinomial distribution

CODAWORK 2017

Maximum likelihood estimation for the logistic-normal-multinomial distribution

VIII CONGRESO DE LA SOCIEDAD ESPAÑOLA DE CIRUGÍA TORÁCICA

Causas del aumento de supervivencia en la última década en el carcinoma broncopulmonar quirúrgico

2016

II AMYC

A parametric approach to count data in compositional data sets

XXXIV REUNIÓN CIENTÍFICA DE LA SEE

Minimización de sesgos en una cohorte: efectividad de las estatinas en prevención primaria cardiovascular

88° CONGRESSO DELLA SOCIETÀ GEOLOGICA ITALIANA

Palaeoenvironmental reconstructions through compositional data analysis: the CoDaMAT method

SEIO 2016

Un enfoque paramétrico para el tratamiento de ceros de conteo en conjuntos de datos composicionales

RSS 2016

A parametric approach to count zeros imputation in compositional data sets

XXIX CONGRESO DE LA SOCIEDAD ESPAÑOLA DE ARTERIOSCLEROSIS

Aproximación a la epidemiologia de la hipercolesterolemia familiar en base a la evidencia en la práctica clínica real

2015

IAMG 2015, THE 17TH ANNUAL CONFERENCE OF THE INTERNATIONAL ASSOCIATION FOR MATHEMATICAL GEOSCIENCES

Finite mixtures of distributions: compositional model-based clustering

IFCS 2015

An integrated formulation for merging mixtures components based on posterior probabilities

CODAWORK 2015

A compositional approach for merging finite mixture components

2014

I AMYC

Merging classes

EGPRN 2014

Intermediate risk population: Lifestyles and arterial stiffness

2013

ERCIM 2013

Compositional entropies in model based clustering

SEIO 2013

Técnicas composicionales aplicadas a los datos de una encuesta del empleo del tiempo.

4TH SHIP

Atrial fibrillation incidence and its hazard in the hypertensive population: a risk prediction function from and for clinical practice

IFCS 2013

Logratio Methodology Applied To Model-Based Clustering

CODAWORK 2013

Model-based clustering via Gaussian mixture models: a compositional sensitivity analysis

2012

ERCIM 2012

Model-based clustering via Gaussian mixture models for compositional data: protein consumption in Europe

2011

I JORNADES DE CONSULTORIA ESTADÍSTICA I SOFTWARE

CoDaPack: A tool for compositional data analysis

CODAWORK 2011

CoDaPack 2.0: a stand-alone, multi-platform compositional software

CODAWORK 2011

Compositional Random Data: a routine for CoDaPack

2010

SOFSEM 2010

A Kernel for Convex Recoloring of Weighted Forests

2008

VI JMDA

A coloring characterization for graph cover problems

2007

EUROCOMB 2007

Vertex fusion under diameter constraints