Results 221 to 230 of about 221,116 (284)

Iterative Forecasting of Financial Time Series: The Greek Stock Market from 2019 to 2024. [PDF]

Entropy (Basel)
Bakalis E, Zerbetto F.
europepmc   +1 more source

Frequency Band Analysis of Multiple Stationary Time Series. [PDF]

Stat Med
Brubaker CK, Manning JP, Yentes JM, Bruce SA.   +3 more
europepmc   +1 more source

TimesNet-BFT: Mitigating Network State Uncertainty in Byzantine Consensus via Deep Temporal Modeling. [PDF]

Entropy (Basel)
Wang H, Liu H, Liu Y, Ma H, Gao P.
europepmc   +1 more source

Stochastic geometry analysis of UAV-assisted networks with probabilistic UAV activation. [PDF]

Sci Rep
Selim MM.
europepmc   +1 more source

STOCHASTIC INTEGRALS AND PROCESSES WITH STATIONARY INDEPENDENT INCREMENTS

, 1972
openaire   +2 more sources

Extremal representation of stationary stochastic processes

Arkiv för Matematik, 1962
openaire   +2 more sources

Some of the next articles are maybe not open access.

Related searches:

Feedback between stationary stochastic processes

IEEE Transactions on Automatic Control, 1975
A simple formulation is given for the notion of feedback between two stationary stochastic processes in terms of the canonical representation of the joint process. The definition presented here has an equivalent formulation in terms of filtering theory, and provides statistical criteria for the detection of feedback.
Caines, Peter E., Chan, C. W.
openaire   +4 more sources

Stationary min-stable stochastic processes

Probability Theory and Related Fields, 1984
We consider the class of stationary stochastic processes whose margins are jointly min-stable. We show how the scalar elements can be generated by a single realization of a standard homogeneous Poisson process on the upper half-strip \([0,1]\times R_+\) and a group of \(L_ 1-isometries\).
de Haan, L. F. M., Pickands, James III
openaire   +2 more sources

Stationary Distribution of a Stochastic Process

Journal of Mathematical Sciences, 2018
Summary: We find a stationary distribution of a stochastic process with delay at the origin. The trajectories of the process have linear growth and random jumps at random times. We use known results for regenerative processes and factorization technique for the study in boundary crossing problems for random walks.
Lotov, V. I., Okhapkina, E. M.
openaire   +1 more source