Results 21 to 30 of about 27,519 (162)

Small deviation properties concerning arrays of non-homogeneous Markov information sources

open access: yesFrontiers in Physics, 2023
In this study, we first define the logarithmic likelihood ratio as a measure between arbitrary generalized information sources and non-homogeneous Markov sources and then establish a class of generalized information sources for small deviation theorems ...
Ximei Qin   +4 more
doaj   +1 more source

Markov or non-Markov property of cM-X processes

open access: yesJournal of the Mathematical Society of Japan, 2004
Denote by \((B_t^{(\mu)})_{t\geq 0}\) one-dimensional Brownian motion with constant drift \(\mu\) and by \(M_t^{(\mu)}:= \sup_{0\leq s\leq t} B_s^{(\mu)}\) its running maximum. It is well known from (obvious variations of) Lévy's and Pitman's theorems that the processes \(-B_t^{(\mu)}, M_t^{(\mu)} - B_t^{(\mu)}\) and \(2 M_t^{(\mu)} - B_t^{(\mu)}\) are
MATSUMOTO, Hiroyuki, OGURA, Yukio
openaire   +2 more sources

A Prediction Method for Destination Based on the Semantic Transfer Model

open access: yesIEEE Access, 2019
With the widespread use of the mobile devices, destination prediction has become an important issue for location-based services (LBSs). Most existing methods are based on various Markov chain models, in which the predicted destinations are trained by ...
Qilong Han   +4 more
doaj   +1 more source

Homogeneity and the Strong Markov Property [PDF]

open access: yesThe Annals of Probability, 1985
This paper is devoted to the study of the relationship between homogeneity (H) and conditional independence (CI) at a stopping time \(\tau\) for a random process X. Assuming that (H) holds on the set \((X_{\tau}\in B)\), for all stopping times \(\tau\) such that \(X_{\tau}\in F\) a.s., where F is a closed recurrent subset of the state space S, while ...
openaire   +2 more sources

Markov property of extremal local fields [PDF]

open access: yesProceedings of the American Mathematical Society, 1978
We show that extremal local field on ( E , E ) T {(E,\mathcal {E})^T} , with T = Z T = {\mathbf {Z}} or R and ( E , E )
Dang-Ngoc, N., Royer, G.
openaire   +1 more source

Frequency Agile Anti-Interference Technology Based on Reinforcement Learning Using Long Short-Term Memory and Multi-Layer Historical Information Observation

open access: yesRemote Sensing, 2023
In modern electronic warfare, radar intelligence has become increasingly crucial when dealing with complex interference environments. This paper combines radar agile frequency technology with reinforcement learning to achieve adaptive frequency hopping ...
Weihao Shi   +5 more
doaj   +1 more source

Using the AMCE Algorithm to High-Efficiently Develop Vehicle Driving Cycles With Road Grade

open access: yesIEEE Access, 2019
Road grade greatly affects energy consumption and pollutant emission of heavy-duty vehicles. It is therefore necessary to develop representative three-parameter driving cycles while taking road grade into account.
Man Zhang   +4 more
doaj   +1 more source

SEMI-MARKOV RELIABILITY MODELS

open access: yesСучасні інформаційні системи, 2022
Traditional technologies for reliability analysis of semi-Markov systems are limited to obtaining a stationary state probability distribution. However, when solving practical control problems in such systems, the study of transient processes is of ...
Lev Raskin   +2 more
doaj   +1 more source

LAN property for discretely observed solutions to Lévy driven SDE’s

open access: yesModern Stochastics: Theory and Applications, 2014
The LAN property is proved in the statistical model based on discrete-time observations of a solution to a Lévy driven SDE. The proof is based on a general sufficient condition for a statistical model based on discrete observations of a Markov process to
D. Ivanenko, A. Kulik
doaj   +1 more source

Home - About - Disclaimer - Privacy