D. Kosiorowski

发表

DepthProc: An R Package for Robust Exploration of Multidimensional Economic Phenomena

D. Kosiorowski, Z. Zawadzki, 2014, 1408.4542.

Dilemmas of Robust Analysis of Economic Data Streams*

D. Kosiorowski, 2016, Journal of Mathematical Sciences.

The 13th Professor Aleksander Zelias International Conference on Modelling and Forecasting of Socio-Economic Phenomena

D. Kosiorowski, Ewa Szlachtowska, 2019 .

Depth based methods for estimation a conditional distribution in data streams

D. Kosiorowski, 2013 .

Local Wilcoxon Statistic in Detecting Nonstationarity of Functional Time Series

D. Kosiorowski, Małgorzata Snarska, J. Rydlewski, 2016 .

Generalized Exponential smoothing in prediction of hierarchical time series

D. Kosiorowski, Małgorzata Snarska, J. Rydlewski, 2016, 1612.02195.

Aggregated moving functional median in robust prediction of hierarchical functional time series - an application to forecasting web portal users behaviors

D. Kosiorowski, J. Rydlewski, Dominik Mielczarek, 2017, 1710.02669.

SVM classifiers for functional data in monitoring of the Internet users behaviour

D. Kosiorowski, J. Rydlewski, Dominik Mielczarek, 2017 .

New Proposals of a Stress Measure in a Capital and its Robust Estimator

D. Kosiorowski, J. Rydlewski, Dominik Mielczarek, 2018, 1802.03756.

Robustness of Depth Based Classification Rules

D. Kosiorowski, 2009 .

Conditional covariance prediction in portfolio analysis using MCD and PCS robust multivariate scatter estimators

D. Kosiorowski, Przemysław Jaśko, 2016 .

Depth Based Strategies to Robust Estimation of ARIMA Parameters

D. Kosiorowski, 2011 .

Two procedures for robust monitoring of probability distributions of economic data stream induced by depth functions

D. Kosiorowski, 2014, 1405.0131.

Outliers in Functional Time Series – Challenges for Theory and Applications of Robust Statistics

D. Kosiorowski, J. Rydlewski, D. Mielczarek, 2018 .

A Critical Study of Usefulness of Selected Functional Classifiers in Economics

Daniel Kosiorowski, Dominik Mielczarek, Jerzy P. Rydlewski, 2020 .

Forecasting of a Hierarchical Functional Time Series on Example of Macromodel for Day and Night Air Pollution in Silesia Region: A Critical Overview

Daniel Kosiorowski, Dominik Mielczarek, Jerzy. P. Rydlewski, 2017, 1712.03797.

K-local median algorithm for functional data in empirical analysis of air pollution data

D. Kosiorowski, Ewa Szlachtowska, 2017 .

Evaluation of the Fourth Millennium Development Goal Realisation using Robust and Nonparametric Tools offered by a Data Depth Concept

D. Kosiorowski, Z. Zawadzki, E. Kosiorowska, 2014, 1409.3918.

Detecting a structural change in functional time series using local Wilcoxon statistic

Daniel Kosiorowski, Jerzy P. Rydlewski, Malgorzata Snarska, 2016, 1604.03776.

Dilemmas of Robust Analysis of Economic Data Streams*

D. Kosiorowski, 2016, Journal of Mathematical Sciences.

Two Depth Based Strategies For Robust Estimation of Predictive Distribution of a Data Stream

Daniel Kosiorowski, D. Kosiorowski, 2014 .

Selected issues related to online calculation of multivariate robust measures of location and scatter

D. Kosiorowski, Z. Zawadzki, 2014 .

Centrality-oriented causality. A study of EU agricultural subsidies and digital development in Poland

D. Kosiorowski, J. Rydlewski, 2019, Oper. Res. Decis..

{Depthproc} Package In Multivariate Time Series Mining

Daniel Kosiorowski, Mateusz Bocian, Anna Węgrzynkiewicz, 2013 .