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Quantum Stochastic Processes and Quantum non-Markovian Phenomena [PDF]

PRX Quantum, 2021
The field of classical stochastic processes forms a major branch of mathematics. Stochastic processes are, of course, also very well studied in biology, chemistry, ecology, geology, finance, physics, and many more fields of natural and social sciences ...
Simon Milz, Kavan Modi
doaj   +2 more sources

Stochastic Processes

Gauge Integral Structures for Stochastic Calculus and Quantum Electrodynamics, 2018
Stochastic processes are probabilistic models of data streams such as speech, audio and video signals, stock market prices, and measurements of physical phenomena by digital sensors such as medical instruments, GPS receivers, or seismographs.
Dr. Gergely Záruba
semanticscholar   +3 more sources

A toolbox to demystify probabilistic and statistical paradoxes

Frontiers in Education, 2023
There is a variety of empirical evidence that the coverage of paradoxes in mathematics education helps to support thorough understanding of probabilistic and statistical concepts.
Riko Kelter, Alexander Schnurr, Susanne Spies   +2 more
doaj   +1 more source

$ k $NN local linear estimation of the conditional density and mode for functional spatial high dimensional data

AIMS Mathematics, 2023
Traditionally, regression problems are examined using univariate characteristics, including the scale function, marginal density, regression error, and regression function.
Fatimah Alshahrani , Wahiba Bouabsa, Ibrahim M. Almanjahie , Mohammed Kadi Attouch   +3 more
doaj   +1 more source

Robust kernel regression function with uncertain scale parameter for high dimensional ergodic data using $ k $-nearest neighbor estimation

AIMS Mathematics, 2023
In this paper, we consider a new method dealing with the problem of estimating the scoring function $ \gamma_a $, with a constant $ a $, in functional space and an unknown scale parameter under a nonparametric robust regression model.
Fatimah Alshahrani , Wahiba Bouabsa, Ibrahim M. Almanjahie, Mohammed Kadi Attouch   +3 more
doaj   +1 more source

Kolmogorov Entropy for Convergence Rate in Incomplete Functional Time Series: Application to Percentile and Cumulative Estimation in High Dimensional Data

Entropy, 2023
The convergence rate for free-distribution functional data analyses is challenging. It requires some advanced pure mathematics functional analysis tools.
Ouahiba Litimein, Fatimah Alshahrani, Salim Bouzebda, Ali Laksaci, Boubaker Mechab   +4 more
doaj   +1 more source

Stochastic Interpolants: A Unifying Framework for Flows and Diffusions [PDF]

arXiv.org, 2023
A class of generative models that unifies flow-based and diffusion-based methods is introduced. These models extend the framework proposed in Albergo&Vanden-Eijnden (2023), enabling the use of a broad class of continuous-time stochastic processes called `
M. S. Albergo, N. Boffi, E. Vanden-Eijnden   +2 more
semanticscholar   +1 more source

Goodness-of-Fit Tests for Weighted Generalized Quasi-Lindley Distribution Using SRS and RSS with Applications to Real Data

Axioms, 2022
This paper deals with the problem of goodness-of-fit tests (GFTs) for the weighted generalized quasi-Lindley distribution (WGQLD) using ranked set sampling (RSS) and simple random sampling (SRS) techniques.
SidAhmed Benchiha, Amer Ibrahim Al-Omari, Ghadah Alomani   +2 more
doaj   +1 more source

Introduction to Neutrosophic Stochastic Processes [PDF]

Neutrosophic Sets and Systems, 2023
In this article, the definition of literal neutrosophic stochastic processes is presented for the first time in the form 𝒩𝑡 = 𝜉𝑡 + 𝜂𝑡𝐼 ;𝐼 2 = 𝐼 where both {𝜉(𝑡),𝑡 ∈ 𝑇} and {𝜂(𝑡),𝑡 ∈ 𝑇} are classical real valued stochastic processes.
Mohamed Bisher Zeina, Yasin Karmouta
doaj   +1 more source

Simulating non-Markovian stochastic processes [PDF]

, 2014
We present a simple and general framework to simulate statistically correct realizations of a system of non-Markovian discrete stochastic processes.
A. Barrat, D. Cox, D. R. Cox, I. A. Ushakov, J. O. Kephart, Luis F. Lafuerza, M. Boguñá, M. E. J. Newman, M. Ángeles Serrano, Marian Boguñá, P. Erdös, R. M. Anderson, Raúl Toral   +12 more
core   +2 more sources