Results 281 to 290 of about 21,260,567 (325)

Stochastic Process Discovery by Weight Estimation

ICPM Workshops, 2020
Adam T. Burke, S. Leemans, M. Wynn
semanticscholar   +1 more source

Relativistic Stochastic Processes

Journal of Mathematical Physics, 1968
Relativistic stochastic processes in μ-space are defined and studied in a completely (and manifestly) covariant manner, without particularizing the time variable. It is shown that a number of usual definitions such as ``Gaussian process,'' etc., cannot be given a fully invariant meaning. Markovian processes are also studied.
openaire   +2 more sources

Research in Stochastic Processes.

1983
Abstract : Research was conducted and directed in the area of stochastic processes by three Principal Investigators and their associates, and in estimation in statistical models. The main areas of research activity for each Principal Investigator and co-workers are as follows: (1) Asymptotic optimal quantizers, complex symmetric stable variables and ...
M. R. Leadbetter, Gopinath Kallianpur, Raymond J. Carroll, Stamatis Cambanis   +3 more
openaire   +1 more source

Introduction To Stochastic Processes

2006
As discussed in Section 1.5, the characterization of observables as random variables is ubiquitous in descriptions of physical phenomena. This is not immediately obvious in view of the fact that the physical equations of motion are deterministic and this issue was discussed in Section 1.5.1.
openaire   +1 more source

Inference and stochastic processes

Journal of the Royal Statistical Society. Series A (General), 1967
The relation of statistical inference to the wider problem of all inductive inference is reviewed. For scientific inference in general the competing approaches are the hypothetical-deductive and the Bayesian, and the formalism of each is discussed in statistical contexts in terms of the two main concepts of probability—chance and degree of belief.
openaire   +1 more source

Upper and Lower Bounds for Stochastic Processes

Ergebnisse der Mathematik und ihrer Grenzgebiete. 3. Folge / A Series of Modern Surveys in Mathematics, 2021
M. Talagrand
semanticscholar   +1 more source

Remaining Useful Life Prediction Based on a General Expression of Stochastic Process Models

IEEE transactions on industrial electronics (1982. Print), 2017
Naipeng Li, Y. Lei, Liang Guo, Tao Yan, Jing Lin   +4 more
semanticscholar   +1 more source

An artificial neural network supported stochastic process for degradation modeling and prediction

Reliability Engineering and System Safety, 2021
Di Liu
exaly  

Stochastic dynamic modeling and simulation of a pump-turbine in load-rejection process

Journal of Energy Storage, 2021
Hao Zhang, Pengcheng Guo
exaly  

Time-dependent reliability assessment of aging structures considering stochastic resistance degradation process

Reliability Engineering and System Safety, 2022
Jianxin Peng, Steve Cs Cai
exaly