activity
20172026
most citedRobust and Sparse Multinomial Regression in High Dimensions

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

stat.AP2026

Snow Changes Drought Characterization but Not Drought Predictability: A Leakage-Free Multiscale Study in Ohio

Symon Forthman, Max Gluck, Fatma Sevinc Kurnaz

We examine whether accounting for snow accumulation and melt, which precipitation-based drought indices ignore, changes drought characterization and one-month-ahead drought forecas…

stat.AP2026

Crypto Price Similarity: An Investigation Using Pearson Correlation and Dynamic Time Warping

Onur Batin Doğan, Fatma Sevinç Kurnaz

The cryptocurrency market's volatility and complex price dynamics challenge portfolio diversification and risk management. This study examines price similarity across 347 cryptocur…

stat.AP2025

Crime in Proportions: Applying Compositional Data Analysis to European Crime Trends for 2022

Onur Batın Doğan, Fatma Sevinç Kurnaz

This article investigates crime patterns across European countries in 2022 using Compositional Data Analysis (CoDA) to address limitations of traditional statistical approaches in…

stat.ME2022★ 1 cited

Robust and Sparse Multinomial Regression in High Dimensions

Fatma Sevinç Kurnaz, Peter Filzmoser

A robust and sparse estimator for multinomial regression is proposed for high dimensional data. Robustness of the estimator is achieved by trimming the observations, and sparsity o…

stat.ME2017

Robust and sparse estimation methods for high dimensional linear and logistic regression

Fatma Sevinc Kurnaz, Irene Hoffmann, Peter Filzmoser

Fully robust versions of the elastic net estimator are introduced for linear and logistic regression. The algorithms to compute the estimators are based on the idea of repeatedly a…