Stanislav Nagy

According to our database, Stanislav Nagy authored at least 15 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Explicit bivariate simplicial depth.

Erik Mendros, Stanislav Nagy

J. Multivar. Anal., 2025

2024

Theory of angular depth for classification of directional data.

Stanislav Nagy, Houyem Demni, Davide Buttarazzi, Giovanni Camillo Porzio

Adv. Data Anal. Classif., September, 2024

On Exact Computation of Tukey Depth Central Regions.

Vít Fojtík, Petra Laketa, Pavlo Mozharovskyi, Stanislav Nagy

J. Comput. Graph. Stat., 2024

2023

Simplicial depth and its median: Selected properties and limitations.

Stanislav Nagy

Stat. Anal. Data Min., August, 2023

Simplicial depth: Characterization and reconstruction.

Petra Laketa, Stanislav Nagy

Stat. Anal. Data Min., August, 2023

2022

Integrated shape-sensitive functional metrics.

Sami Helander, Petra Laketa, Pauliina Ilmonen, Stanislav Nagy, Germain Van Bever, Lauri Viitasaari

J. Multivar. Anal., 2022

2021

Reconstruction of atomic measures from their halfspace depth.

Petra Laketa, Stanislav Nagy

J. Multivar. Anal., 2021

Illumination Depth.

Stanislav Nagy, Jirí Dvorák

J. Comput. Graph. Stat., 2021

Approximate computation of projection depths.

Rainer Dyckerhoff, Pavlo Mozharovskyi, Stanislav Nagy

Comput. Stat. Data Anal., 2021

2020

Clover plot: Versatile visualization in nonparametric classification.

Jirí Dvorák, Sárka Hudecová, Stanislav Nagy

Stat. Anal. Data Min., 2020

2019

Data depth for measurable noisy random functions.

Stanislav Nagy, Frédéric Ferraty

J. Multivar. Anal., 2019

2016

Weak convergence of discretely observed functional data with applications.

Stanislav Nagy, Irène Gijbels, Daniel Hlubinka

J. Multivar. Anal., 2016

2015

A Generative Statistical Algorithm for Automatic Detection of Complex Postures.

Stanislav Nagy, Marc Goessling, Yali Amit, David Biron

PLoS Comput. Biol., 2015

Consistency of non-integrated depths for functional data.

Irène Gijbels, Stanislav Nagy

J. Multivar. Anal., 2015

Integrated data depth for smooth functions and its application in supervised classification.

Daniel Hlubinka, Irène Gijbels, Marek Omelka, Stanislav Nagy

Comput. Stat., 2015