28 citations · 54 across the 8 of their papers we have counts for
9 papers
Centrality-oriented Causality -- A Study of EU Agricultural Subsidies and Digital Developement in Poland
Kosiorowski Daniel, Jerzy P. Rydlewski
Results of a convincing causal statistical inference related to socio-economic phenomena are treated as especially desired background for conducting various socio-economic programs…
New Proposals of a Stress Measure in a Capital and its Robust Estimator
Tadeusz Klecha, Daniel Kosiorowski, Dominik Mielczarek +1
In this paper a novel approach for a measurement of stresses in a capital, which induce the capital flows between economic systems, is proposed. The proposals appeal to an apparatu…
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
In economics we often face a system, which intrinsically imposes a structure of hierarchy of its components, i.e., in modelling trade accounts related to foreign exchange or in opt…
Aggregated moving functional median in robust prediction of hierarchical functional time series - an application to forecasting web portal users behaviors
Daniel Kosiorowski, Dominik Mielczarek, Jerzy P. Rydlewski
In this article, a new nonparametric and robust method of forecasting hierarchical functional time series is presented. The method is compared with Hyndman and Shang's method with…
Generalized Exponential smoothing in prediction of hierarchical time series
Daniel Kosiorowski, Dominik Mielczarek, Jerzy P. Rydlewski +1
Shang and Hyndman (2017) proposed a grouped functional time series forecasting approach as a combination of individual forecasts obtained using generalized least squares method. We…
Detecting a Structural Change in Functional Time Series Using Local Wilcoxon Statistic
Daniel Kosiorowski, Jerzy P. Rydlewski, Małgorzata Snarska
Functional data analysis (FDA) is a part of modern multivariate statistics that analyses data providing information about curves, surfaces or anything else varying over a certain c…
Evaluation of the Fourth Millennium Development Goal Realisation Using Robust and Nonparametric Tools Offered by Data Depth Concept
Ewa Kosiorowska, Daniel Kosiorowski, Zygmunt Zawadzki
We briefly communicate results of a nonparametric and robust evaluation of effects of \emph{the Fourth Millennium Development Goal of United Nations}. Main aim of the goal was redu…
DepthProc An R Package for Robust Exploration of Multidimensional Economic Phenomena
Daniel Kosiorowski, Zygmunt Zawadzki
Data depth concept offers a variety of powerful and user friendly tools for robust exploration and inference for multivariate socio-economic phenomena. The offered techniques may b…
Two Procedures for Robust Monitoring of Probability Distributions of Economic Data Streams induced by Depth Functions
Daniel Kosiorowski
Data streams (streaming data) consist of transiently observed, evolving in time, multidimensional data sequences that challenge our computational and/or inferential capabilities. I…