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Robust semiparametric inference for polytomous logistic regression with complex survey design

JOURNAL ARTICLE published September 2021 in Advances in Data Analysis and Classification

Authors: Elena Castilla | Abhik Ghosh | Nirian Martin | Leandro Pardo

Pretesting in Polytomous Logistic Regression Models Based on Phi-divergence Measures

BOOK CHAPTER published 2008 in Advances in Mathematical and Statistical Modeling

Authors: Leandro Pardo | María Luisa Menéndez | Nirian Martín

Robust Inference in the Logistic Regression Model

BOOK CHAPTER published 2001 in Advances in Classification and Data Analysis

Authors: Michele La Rocca

Parametric Bootstrapping Predictive Estimator for Logistic Regression

JOURNAL ARTICLE published 10 June 2019 in Journal of Advances in Mathematics and Computer Science

Authors: Kunio Takezawa

ROBUST BINARY LOGISTIC REGRESSION METHODS

JOURNAL ARTICLE published 15 June 2022 in Advances and Applications in Statistics

Authors: Hong Li

Inference in the Presence of Likelihood Monotonicity for Polytomous and Logistic Regression

JOURNAL ARTICLE published 2016 in Advances in Pure Mathematics

Authors: John E. Kolassa

A NEW CONVOLUTION ESTIMATOR FOR NONPARAMETRIC REGRESSION

BOOK CHAPTER published March 2007 in Advances in Statistical Modeling and Inference

Authors: Baard Støve | Dag Tjøstheim

Robust functional logistic regression

JOURNAL ARTICLE published 12 February 2024 in Advances in Data Analysis and Classification

Research funded by Türkiye Bilimsel ve Teknolojik Arastirma Kurumu (120F270)

Authors: Berkay Akturk | Ufuk Beyaztas | Han Lin Shang | Abhijit Mandal

Robust and sparse logistic regression

JOURNAL ARTICLE published 27 November 2023 in Advances in Data Analysis and Classification

Authors: Dries Cornilly | Lise Tubex | Stefan Van Aelst | Tim Verdonck

Minimum phi-divergence estimators for multinomial logistic regression with complex sample design

JOURNAL ARTICLE published July 2018 in AStA Advances in Statistical Analysis

Research funded by Ministerio de Economía y Competitividad (MTM2012-33740,ECO2015-66593-P)

Authors: Elena Castilla | Nirian Martín | Leandro Pardo

Logistic Regression with Robust Bootstrapping

PROCEEDINGS ARTICLE published December 2019 in 2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)

Authors: Yawei Li | Michael Fauss | Abdelhak M. Zoubir

Robust logistic zero-sum regression for microbiome compositional data

JOURNAL ARTICLE published June 2022 in Advances in Data Analysis and Classification

Authors: G. S. Monti | P. Filzmoser

Robust DEM co-registration method for terrain changes assessment using least trimmed squares estimator

JOURNAL ARTICLE published January 2008 in Advances in Space Research

Authors: Tonggang Zhang | Minyi Cen

A First-Order Approximated Jackknifed Liu Estimator in Binary Logistic Regression Model

JOURNAL ARTICLE published 2021 in Advances in Applied Mathematics

Authors: 媛 邹

Robust pilot-aided channel estimator for time-varying OFDM channels

PROCEEDINGS ARTICLE published July 2008 in 2008 IEEE 9th Workshop on Signal Processing Advances in Wireless Communications

Authors: Rui F. Vigelis | Charles C. Cavalcante

Genetically Modified Logistic Regression with Radial Basis Function for Robust Software Effort Prediction

BOOK CHAPTER published 2016 in Machine Intelligence and Signal Processing

Authors: Manas Gaur

Estimating the Number of Clusters in Logistic Regression Clustering by an Information Theoretic Criterion

BOOK CHAPTER published 2008 in Recent Advances in Linear Models and Related Areas

Authors: Guoqi Qian | C. Radhakrishna Rao | Yuehua Wu | Qing Shao

Robust Load Frequency Sliding Mode Control Based on Uncertainty and Disturbance Estimator

BOOK CHAPTER published 2008 in Lecture Notes in Electrical Engineering

Authors: P. D. Shendge | B. M. Patre | S. B. Phadke

Guided Sampling in Multiple View Robust Motion Estimation Using Regression Diagnostics

BOOK CHAPTER published 2012 in Advances in Visual Computing

Authors: Houman Rastgar | Eric Dubois | Liang Zhang

Bayesian Robust Regression with the Horseshoe+ Estimator

BOOK CHAPTER published 2016 in AI 2016: Advances in Artificial Intelligence

Authors: Enes Makalic | Daniel F. Schmidt | John L. Hopper