Adolfo Jose Quiroz Salazar

A supervised clustering MCMC methodology for large categorical feature spaces

Alternative Strategies for the Estimation of a Disease’s Basic Reproduction Number: A Model‑Agnostic Study

A supervised clustering MCMC methodology for large categorical feature spaces

Alternative Strategies for the Estimation of a Disease’s Basic Reproduction Number: A Model‑Agnostic Study

Efficient nearest neighbors methods for support vector machines in high dimensional feature spaces

Contribuciones al análisis de datos complejos

Shannon’s entropy of partitions determined by hierarchical clustering trees in asymmetry and dimension identification

Local angles and dimension estimation from data on manifolds

Análisis de algoritmos de clustering para datos categóricos

Estimación de la Dimensión Intrínseca de Datos Mediante Entropía de las Particiones

Regresión con proyecciones aleatorias para datos funcionales

Regression by clustering using Metropolis-Hastings

Estudio comparativo del bootstrap clásico y suavizado

Machine learning techniques to select Be star candidates. An application in the OGLE-IV Gaia south ecliptic pole field

Permutation tests in the two-sample problem for functional data

Quadratic forms of the empirical processes for the two-sample problem for functional data

Learning Classication Methods and Applications to Medical Images

Métodos basados en grafos para el problema de dos muestras en datos funcionales

Análisis de la topología de los arboles generados por hierarchical clustering y la estabilidad de los grupos luego de ser perturbados

Aplicación de técnicas de vecinos más cercanos y muestreo a máquinas de soporte vectorial en el contexto de clasificación de texto

Boosting localizado y dimension VC en Bosques Aleatorios

Clasificación de Series de Tiempo Astronómicas

Metric entropy estimation using o-minimality theory

Nearest neighbors methods for support vector machines

Nearest neighbors methods for support vector machines

Performance of EDF Based Goodness-of-Fit Tests in the Context of Ranked Set Sampling

Pruebas de Bondad de Ajuste y el Problema de Dos Muestras en el Contexto de Procesos de Poisson No Homogéneos

Characterization of storm wave asymmetries with functional data analysis

Characterization of storm wave asymmetries with functional data analysis

Complexity Regularization and Local Metric entropy

Congreso Latinoamericano de Probabilidad y Estadística Matemática

Discrete Kernel Estimation and Its Applications

Estimation of Seed Shadows Generated by Andean Woolly Monkeys (Lagothrix lagothricha lugens)

Model Selection for Boosting and Deep Learning Binary Classification Methods

NOCIONES DE PROFUNDIDAD EN ANALISIS DE DATOS FUNCIONALES

Natural Bootstrap Method to Test for Some Symmetries of a Multivariate Distribution

Análisis Comparativo de Pruebas de Bondad de Ajuste para Distribuciones Elípticamente Simétricas

El Problema de Clasificación en Aprendizaje de Máquinas

Estimación de dimensión intrínseca de variedades de datos

Intrinsic dimension identification via graph-theoretic methods

Kernel Density Estimation and Applications to Discriminant Analysis

On the goodness-of-fit procedure for normality based on the empirical characteristic function for ranked set sampling data

Profundidad de Datos Multivariados basada en Grafos

Proyección Markoviana en Procesos de Volatilidad Estocástica más Saltos.

Una revisión del método probabilístico de Erd?s

Linearity Measures of the P-P Plot in the Two-Sample Problem

A study of intraocular tension in Venezuelan children and adolescents [Análisis estadístico de la variable tensión intraocular en niños y adolescentes Venezolanos]

Improving the precision of model parameters using model based signal enhancement and the linear minimal model following an IVGTT in the healthy man

A vectorial notion of skewness and its use in testing for multivariate symmetry

Goodness of fit procedures for the multivariate linear model based on spherical harmonics

Using the empirical moment generating function in testing for the Weibull and the type I extreme value distributions

A procedure for outlier identification in data sets from continuous distributions

Degree frequencies in the minimal spanning tree and dimension identification

A clustering procedure based on the comparison between the k nearest neighbors graph and the mininial spanning tree

A probabilistic methodology for distribution substation location

Dynamic Electromyography Evaluation of Spastic Hemiplegia Using a Linear Discriminator

A statistic for testing the null hypothesis of elliptical symmetry

Graph Theoretic Procedures for Dimension Identification

Using large order statistics of runs for tracking a changing Bernoulli probability

Spherical harmonics in quadratic forms for testing multivariate normality

A fast permutation-based algorithm for block clustering - año 1997

Connectivity of the mutual k-nearest-neighbor graph in clustering and outlier detection

Kolmogorov-Smirnov type statistics for Testing Multivariate Normality

Comparación de métodos de ajuste en el análisis espacial de experimentos de campo

Estimation of a multivariate box-cox transformation to elliptical symmetry via the empirical characteristic function

Rank regression for current status data

Gasoline Properties Estimation from Hydrocarbon Clustering Classification

A permutation-based algorithm for block clustering

Some new tests for multivariate normality

The physicist's approach to the travelling salesman problem-II

Fast random generation of binary, t-ary and other types of trees