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20162025
most citedFiltering Problem for Functionals of Stationary Processes with Missing Observations

4 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

math.ST2025

Interpolation Problem for Multidimensional Stationary Processes with Missing Observations

Oleksandr Masyutka, Mikhail Moklyachuk, Maria Sidei

The problem of the mean-square optimal linear estimation of linear functionals which depend on the unknown values of a multidimensional continuous time stationary stochastic proces…

math.ST2025

Extrapolation Problem for Multidimensional Stationary Sequences with Missing Observations

Oleksandr Masyutka, Mikhail Moklyachuk, Maria Sidei

This paper focuses on the problem of the mean square optimal estimation of linear functionals which depend on the unknown values of a multidimensional stationary stochastic sequenc…

math.ST2025

Filtering Problem for Functionals of Stationary Processes with Missing Observations

Mykhailo Moklyachuk, Maria Sidei

The problem of the mean-square optimal linear estimation of the functional which depends on the unknown values of stochastic stationary process…

math.ST2018

Filtering of Multidimensional Stationary Sequences with Missing Observations

Oleksandr Masyutka, Mikhail Moklyachuk, Maria Sidei

The problem of mean-square optimal linear estimation of linear functionals which depend on the unknown values of a multidimensional stationary stochastic sequence from observations…

math.ST2016★ 4 cited

Filtering Problem for Functionals of Stationary Processes with Missing Observations

Mikhail Moklyachuk, Maria Sidei

The problem of the mean-square optimal linear estimation of the functional which depends on the unknown values of stochastic stationary process…