Existence of a (non-Gaussian) process with a given covariance function
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Problem II.2 from Булинский А.В., Ширяев А.Н. "Теория случайных процессов" [БуШи05]More problems in Chapter II "Processes with Independent Increments. Poisson and Gaussian Processes"
Let be a nonnegative definite function , where is some set). Does there exist a non-Gaussian process such that for all ?
?
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Problem 2:9 from Lindgren G., Rootzén H., Sandsten M. "Stationary Stochastic Processes for Scientists and Engineers" [LRS14]More problems in Chapter 2 "Stationary processes"
Which of the following functions can be the covariance functions to a stationary process and which can not?
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(a)
,
(b)
,
(c)
(d)
,
(e)
.
Problem 3.11.6 from Жуковский М.Е., Родионов И.В., Шабанов Д.А. "Основы теории случайных процессов" [ЖРШ16]More problems in Chapter 3.11 "Stationary Stochastic Processes"
Determine whether the following functions are covariance functions of some Gaussian processes :
?
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(a)
;
(b)
;
(c)
;
(d)
.
For those processes that do exist, determine whether they have spectral densities.
References
[БуШи05] Булинский А.В., Ширяев А.Н. Теория случайных процессов. ФИЗМАТЛИТ, 2005.
[LRS14] Lindgren G., Rootzén H., Sandsten M. Stationary Stochastic Processes for Scientists and Engineers. CRC Press (Taylor & Francis Group), 2014.
[ЖРШ16] Жуковский М.Е., Родионов И.В., Шабанов Д.А. Основы теории случайных процессов. МФТИ, 2016.