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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   +3 more sources

Stochastic Processes in Gravitropism [PDF]

Frontiers in Plant Science, 2014
In this short review we focus on the role of noise in gravitropism of plants - the reorientation of plants according to the direction of gravity. We briefly introduce the conventional picture of static gravisensing in cells specialized in sensing.
Yasmine eMeroz, Renaud eBastien
doaj   +5 more sources

Speed Limit for Classical Stochastic Processes [PDF]

Physical Review Letters, 2018
We consider the speed limit for classical stochastic Markov processes with and without the local detailed balance condition. We find that, for both cases, a trade-off inequality exists between the speed of the state transformation and the entropy ...
Ken Funo, Naoto Shiraishi, Keiji Saito   +2 more
exaly   +2 more sources

Steindl on Stochastic Processes

PSL Quarterly Review, 2012
Steindl’s work on stochastic processes aims to describe the economy as in a state of imbalance, due to the fact that its starting conditions are an accident of history, and nobody has a clue what tomorrow will bring.
Marcella Corsi
doaj   +5 more sources

The Wasserstein space of stochastic processes [PDF]

Journal of the European Mathematical Society (Print), 2021
Wasserstein distance induces a natural Riemannian structure for the probabilities on the Euclidean space. This insight of classical transport theory is fundamental for tremendous applications in various fields of pure and applied mathematics.
Daniel Bartl, Mathias Beiglbock, G. Pammer   +2 more
semanticscholar   +1 more source

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

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

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

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

Journal of machine learning research, 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. Albergo, N. Boffi, E. Vanden-Eijnden
semanticscholar   +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