activity
20162019
most citedCentrality-oriented Causality -- A Study of EU Agricultural Subsidies and Digital Developement in Poland

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

collaborators

6 papers

stat.AP2019★ 3 cited

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…

econ.GN2018

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…

econ.EM2017

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…

stat.CO2017

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…

stat.ME2016

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…

stat.ME2016

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…