A. Pires

发表

Robust clustering method for the detection of outliers: using AIC to select the number of clusters.

Carla M. Santos-Pereira, A. Pires, 2013 .

Robustness of AIC based criterion for selecting the number of clusters

Carla M. Santos-Pereira, A. Pires, 2008 .

Estimators for the common principal components model based on reweighting: influence functions and Monte Carlo study

Ana M. Pires, Graciela Boente, Isabel M. Rodrigues, 2008 .

General projection-pursuit estimators for the common principal components model: influence functions and Monte Carlo study

G. Boente, A. Pires, I. M. Rodrigues, 2006 .

Robust Linear Discriminant Analysis and the Projection Pursuit Approach

A. Pires, A. M. Pires, 2003 .

Influence functions and outlier detection under the common principal components model: A robust approach

Ana M. Pires, Graciela Boente, Isabel M. Rodrigues, 2002 .

A COMPARISON OF DISCRIMINANT ANALYSIS METHODS IN THE DIAGNOSTIC OF CORONARY HEART DISEASE

J. A. Branco, M. A. Turkman, A. Pires, 2022 .

Principal Axis Analysis

Conceição Amado, Frank Critchley, Ana Pires, 2006 .

Robust tests for the common principal components model

G. Boente, A. Pires, I. M. Rodrigues, 2009 .

A robust DF‐REML framework for variance components estimation in genetic studies

Hans-Peter Piepho, Vanda M. Lourenço, Ana M. Pires, 2017, Bioinform..

Robust linear regression methods in association studies

Vanda M. Lourenço, Ana M. Pires, M. Kirst, 2011, Bioinform..

Multiple linear regression with some correlated errors: Classical and robust methods

A. Pires, I. M. Rodrigues, 2007, Statistics in medicine.

High dimensionality: The latest challenge to data analysis.

J. A. Branco, A. M. Pires, J. A. Branco, 2019, 1902.04679.

Robust Bootstrap with Non Random Weights Based on the Influence Function

Conceição Amado, Ana M. Pires, A. Pires, 2004 .

Projection-pursuit approach to robust linear discriminant analysis

J. A. Branco, Ana M. Pires, João A. Branco, 2010, J. Multivar. Anal..

Image reconstruction based on circulant matrices

Eunice Carrasquinha, Conceicao Amado, Ana M. Pires, 2018, Signal Process. Image Commun..

INTERVAL ESTIMATORS FOR A BINOMIAL PROPORTION : COMPARISON OF TWENTY METHODS

Ana M. Pires, A. Pires, 2008 .

Partial influence functions

J. A. Branco, A. Pires, 2002 .

Workshop on ROBUSTNESS for High-dimensional Data ( RobHD 2004 ) 5-8 May 2004 , Vorau , Austria Sponsored by the European Science Foundation NETWORK Statistical Analysis of Complex Data with Robust and Related Statistical Methods ( SACD )

A. Pires, I. M. Rodrigues, C. Amado, 2004 .

ROBUST BOOTSTRAP : AN ALTERNATIVE TO BOOTSTRAPPING ROBUST ESTIMATORS

Ana M. Pires, Graciela Boente, Ana M. Bianco, 2014 .

M-regression, false discovery rates and outlier detection with application to genetic association studies

Vanda M. Lourenço, Ana M. Pires, A. Pires, 2014, Comput. Stat. Data Anal..

Robust Bootstrap Confidence Intervals: An Application Study for Denoising Images

Ana M. Pires, Eunice Carrasquinha, Conceicao Amado, 2014, 2014 14th International Conference on Computational Science and Its Applications.

Using Clustering and Robust Estimators to Detect Outliers in Multivariate Data.

Carla M. Santos-Pereira, Ana M. Pires, Carla M. Santos-Pereira, 2005 .

A Statistical Model to Explain the Mendel–Fisher Controversy

J. A. Branco, A. Pires, 2010, 1104.2975.

Detecting influential observations in principal components and common principal components

Ana M. Pires, Graciela Boente, Isabel M. Rodrigues, 2010, Comput. Stat. Data Anal..

Robust linear regression methods in association studies

Vanda M. Lourenço, A. Pires, Matias Kirst, 2011, Bioinform..