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Dive into the research topics where Andrzej Makagon is active.

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Featured researches published by Andrzej Makagon.


Stochastic Processes and their Applications | 2002

On AR(1) models with periodic and almost periodic coefficients

Harry L. Hurd; Andrzej Makagon; Abolghassem Miamee

Abstract This paper is concerned with the existence of bounded solutions to the system of equations X n = a n X n −1 + ξ n , n ∈ Z , where ξ n are uncorrelated constant variance zero mean random variables. We give necessary and sufficient conditions for boundedness in the general case and then specifically for periodic and almost periodic ( a n ). This provides the first step in extending the periodic autoregressive models, for which boundedness is equivalent to the stationarity of the blocked vector sequence X k =(X kT ,X kT+1 ,…,X (k+1)T−1 ), to the almost periodic case.


Journal of Multivariate Analysis | 1984

On the hellinger square integral with respect to an operator valued measure and stationary processes

Andrzej Makagon

A construction of the Hellinger square integral with respect to a semispectral measure in a Banach space B is given. It is proved that the space of values of a B-valued stationary stochastic process is unitarily isomorphic to the space of all B*-valued measures that are Hellinger square integrable with respect to the spectral measure of the process. Some applications of the above theorem in the prediction theory (especially to interpolation problem) are also considered.


Archive | 2014

Structure of PC Sequences and the 3rd Prediction Problem

Andrzej Makagon; Abolghassem Miamee

Founders of prediction theory formulated three prediction problems: extrapolation problem, interpolation problem, and the problem of positivity of the angle between the past and the future. The third one is strictly related to the question of representing the predictor as a series of past values of the process. All three have been solved in the case of stationary sequences, however, as far as we know in the case of periodically correlated sequences only the first prediction problem has been studied. The purpose of this chapter is to overview the third prediction problems.


Proceedings of the American Mathematical Society | 2008

On the support of the spectral measure of a harmonizable sequence

Andrzej Makagon; Agnieszka Wyłomańska

In this note we discuss a relationship between the correlation function of a harmonizable sequence and support of its spectral measure.


Archive | 2017

Periodically Correlated Sequences with Rational Spectra and PARMA Systems

Andrzej Makagon

An acronym PARMA is used in different configurations, we talk about PARMA systems, PARMA sequences, or PARMA models. This paper is a result of the author search to understand this complex world of PARMAs.


Journal of Multivariate Analysis | 2001

Characterization of the Spectra of Periodically Correlated Processes

Andrzej Makagon


Studia Mathematica | 1999

Induced stationary process and structure of locally square integrable periodically correlated processes

Andrzej Makagon


Archive | 2013

SPECTRAL REPRESENTATION OF PERIODICALLY CORRELATED SEQUENCES

Andrzej Makagon; Abolghassem Miamee


European Journal of Pure and Applied Mathematics | 2014

Spectrum of Periodically Correlated Fields

Dominique Dehay; Harry L. Hurd; Andrzej Makagon


Archive | 2015

Prediction Theory of Periodically Correlated Stochastic Processes

Abolghassem Miamee; Andrzej Makagon

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Harry L. Hurd

University of North Carolina at Chapel Hill

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Agnieszka Wyłomańska

University of Science and Technology

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Ewa Broszkiewicz-Suwaj

Wrocław University of Technology

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Rafał Weron

Wrocław University of Technology

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