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Tamara Alejandra Fernandez Aguilar

Profesor Asistente

Universidad Adolfo Ibánez

Viña del Mar, Chile

Líneas de Investigación


Mathematical Statistics, Nonparametric Methods, Kernel Methods, Bayesian Nonparametrics

Educación

  •  PhD in Statistics, UNIVERSITY OF OXFORD. Reino Unido, 2018
  •  MSc in Statistics, PONTIFICIA UNIVERSIDAD CATOLICA DE CHILE. Chile, 2013
  •  Bachelor in Statistics, PONTIFICIA UNIVERSIDAD CATOLICA DE CHILE. Chile, 2011

Experiencia Académica

  •   Biometrika Postdoctoral fellow Full Time

    UNIVERSITY COLLEGE LONDON

    Gastby Computational Neuroscience Unit

    London, Reino Unido

    2017 - 2019

  •   Research Associate Full Time

    UNIVERSITY COLLEGE LONDON

    Gastby Computational Neuroscience Unit

    London, Reino Unido

    2019 - 2020

  •   Profesor Asistente Full Time

    UNIVERSIDAD ADOLFO IBANEZ

    Facultad de Ingeniería y ciencias

    Valparaíso, Chile

    2020 - At present

Experiencia Profesional

  •   Práctica profesional (2 meses) Full Time

    Santander

    Santiago, Chile

    2010 - 2010

  •   Analista Full Time

    VTR

    Santiago, Chile

    2013 - 2013

Formación de Capital Humano


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Difusión y Transferencia


Principal Organiser of the Workshop on Recent developments in kernel methods. 26th to the 27th of September 2019. UCL



 

Article (4)

A General Framework for the Analysis of Kernel-based Tests



Article ISI
JOURNAL OF MACHINE LEARNING RESEARCH  (2024)

A Kernel Log-Rank Test of Independence for Right-Censored Data

Rindt, David; Sejdinovic, Dino

Article ISI SCOPUS
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION  (2023)

A reproducing kernel Hilbert space log-rank test for the two-sample problem



Article ISI
SCANDINAVIAN JOURNAL OF STATISTICS  (2020)

Kaplan-Meier V- and U-statistics



Article ISI
ELECTRONIC JOURNAL OF STATISTICS  (2020)

ConferencePaper (4)

A kernel test for quasi-independence

Ditzhaus, Marc

ConferencePaper
 (2020)

Kernelized Stein Discrepancy Tests of Goodness-of-fit for Time-to-Event Data



ConferencePaper
 (2020)

A maximum-mean-discrepancy goodness-of-fit test for censored data



ConferencePaper
 (2019)

Gaussian processes for survival analysis



ConferencePaper
 (2016)

Proyecto (4)

Intrusion.aware: Plataforma integral para detectar y responder ciberataques usando inteligencia artificial responsable

Romina Debora Torres Torres; Moreno-Araya, Sebastián; Fernandez-Aguilar, Tamara Alejandra

Proyecto
 (2024)

Modeling and estimating massive point referenced spatial data.

Moreno Bevilacqua; Roustant, Oliver; Bahamonde, Natalia; Mazoyer, A

Proyecto
 (2023)

Kernelised linear tests: combining Statistics and Machine learning to boost test power



Proyecto
 (2022)

Kernel Methods for Survival Analysis



Proyecto
 (2017)

2
Nicolás Rivera

Investigador

Instituto de Ingeniería Matemática

Universidad de Valparaíso

Valparaíso, Chile

12
Tamara Fernandez

Profesor Asistente

Facultad de Ingeniería y Ciencias

Universidad Adolfo Ibánez

Viña del Mar, Chile