Results 21 to 30 of about 203,041 (311)

Uniform Labeled Transition Systems for Nondeterministic, Probabilistic, and Stochastic Processes [PDF]

, 2010
Rate transition systems (RTS) are a special kind of transition systems introduced for defining the stochastic behavior of processes and for associating continuous-time Markov chains with process terms. The transition relation assigns to each process, for
Nicola Michele Loreti, De Nicola, Rocco, Marco Bernardo, Rocco De, Loreti, Michele, Rocco De Nicola, Michele Loreti, Bernardo, Marco, De Nicola, R   +8 more
core   +1 more source

Parallel implementation of stochastic simulation for large-scale cellular processes [PDF]

, 2005
Experimental and theoretical studies have shown the importance of stochastic processes in genetic regulatory networks and cellular processes. Cellular networks and genetic circuits often involve small numbers of key proteins such as transcriptional ...
Kevin Burrage, Tian, Tianhai, Tianhai Tian, Burrage, Kevin, Tian, T., Burrage, K., K. Burrage   +6 more
core   +1 more source

Adaptive Robust Efficient Methods for Periodic Signal Processing Observed with Colours Noises

Advances in Electrical and Electronic Engineering, 2019
In this paper, we consider the problem of robust adaptive efficient estimating a periodic signal observed in the transmission channel with the dependent noise defined by non-Gaussian Ornstein-Uhlenbeck processes with unknown correlation properties ...
Evgeny Pchelintsev, Serguei Pergamenshchikov, Mariana Marcokova   +2 more
doaj   +1 more source

Stochastic Patching Process

CoRR, 2016
Stochastic partition models tailor a product space into a number of rectangular regions such that the data within each region exhibit certain types of homogeneity. Due to constraints of partition strategy, existing models may cause unnecessary dissections in sparse regions when fitting data in dense regions.
Xuhui Fan 0001, Bin Li 0015, Yi Wang 0041, Yang Wang 0002, Fang Chen 0001   +4 more
openaire   +2 more sources

Measuring the Moment and the Magnitude of the Abrupt Change of the Gaussian Process Bandwidth

Measurement Science Review, 2019
The maximum likelihood algorithm is introduced for measuring the unknown moment of abrupt change and bandwidth jump of a fast-fluctuating Gaussian random process.
Chernoyarov Oleg, Marčokova Mariana, Salnikova Alexandra, Maksimov Maksim, Makarov Alexander   +4 more
doaj   +1 more source

Estimation of Accuracy and Reliability of Models of φ-sub-Gaussian Stochastic Processes in Spaces

Наукові вісті Національного технічного університету України "Київський політехнічний інститут", 2017
Background. At present, in the theory of stochastic process modeling a problem of assessment of reliability and accuracy of stochastic process model in C(T) space wasn’t studied for the case of inexplicit decomposition of process in the form of a series ...
Oleksandr M. Mokliachuk
doaj   +1 more source

The System of Facial Recognition in the Infrared Range

Communications, 2020
In this paper, a new approach is introduced upgrading the complex object recognizing monitoring system up to the image processing system capable of operating both in the visible and the infrared wavelength ranges.
Daniil A. Loktev, Alexey A. Loktev, Alexandra V. Salnikova   +2 more
doaj   +1 more source

Strong uniform consistency rates of conditional quantile estimation in the single functional index model under random censorship

Dependence Modeling, 2018
The main objective of this paper is to non-parametrically estimate the quantiles of a conditional distribution in the censorship model when the sample is considered as an -mixing sequence.
Kadiri Nadia, Rabhi Abbes, Bouchentouf Amina Angelika   +2 more
doaj   +1 more source

Strong Consistency of Incomplete Functional Percentile Regression

Axioms
This paper analyzes the co-fluctuation between a scalar response random variable and a curve regressor using quantile regression. We focus on the situation wherein the output variable is observed with random missing.
Mohammed B. Alamari, Fatimah A. Almulhim, Ouahiba Litimein, Boubaker Mechab   +3 more
doaj   +1 more source

On the Trackability of Stochastic Processes

CoRR, 2020
We consider the problem of tracking an unstable stochastic process $X_t$ by using causal knowledge of another stochastic process $Y_t$. We obtain necessary conditions and sufficient conditions for maintaining a finite tracking error. We provide necessary conditions as well as sufficient conditions for the success of this estimation, which is defined as
Baran Tan Bacinoglu, Yin Sun 0001, Elif Uysal   +2 more
openaire   +2 more sources