Results 81 to 90 of about 7,479,809 (288)
Understanding the Central Limit Theorem the Easy Way: A Simulation Experiment
Proceedings, 2018 Using a simulation approach, and with collaboration among peers, this paper is intended to improve the understanding of sampling distributions (SD) and the Central Limit Theorem (CLT) as the main concepts behind inferential statistics.
Monica E. Brussolo
doaj +1 more source
Causal‐Guided Ultra‐Long‐Term Time Series Forecasting Via Anticipated Covariates
Advanced Science, EarlyView.Often treated as unknown, information from the future remains underutilized.We demonstrate that in a coupled dynamical system, providing the future state of the effect enables accurate forecasting of the cause for a long timesteps. A time series forecasting paradigm that introduces anticipated covariates to represent such known future states is ...
Jintong Zhao +4 more
wiley +1 more source
Taming systematic uncertainties at the LHC with the central limit theorem
Nuclear Physics B, 2016 We study the simplifications occurring in any likelihood function in the presence of a large number of small systematic uncertainties. We find that the marginalisation of these uncertainties can be done analytically by means of second-order error ...
Sylvain Fichet
doaj +1 more source
A Donsker Theorem for Lévy Measures [PDF]
Given n equidistant realisations of a Lévy process (Lt; t >= 0), a natural estimator for the distribution function N of the Lévy measure is constructed. Under a polynomial decay restriction on the characteristic function, a Donsker-type theorem is proved,
Richard Nickl, Markus Reiß
core
Exact Discrete Stochastic Simulation With Deep‐Learning‐Scale Gradient Optimization
Advanced Science, EarlyView.A 203,796‐parameter gene regulatory network classifies handwritten digits with 98.4% accuracy using exact stochastic dynamics. The framework decouples forward simulation from backward differentiation, making continuous‐time Markov chain models compatible with deep‐learning optimization.
Jose M. G. Vilar, Leonor Saiz
wiley +1 more source
On the Asymptotic Behavior in Random Fields: The Central Limit Theorem
Journal of Statistical Theory and Applications (JSTA), 2019 The aim of this paper is to provide an applicable version of Central Limit Theorem for strictly stationary m-dependent random fields on a lattice. The type of sampling is considered increasing domain sampling.
Mohammad Mehdi Saber +2 more
doaj +1 more source
Central Limit Theorems For Multicolor Urns With Dominated Colors [PDF]
An urn contains balls of d >= 2 colors. At each time n >= 1, a ball is drawn and then replaced together with a random number of balls of the same color. Let An =diag (An,1, . . . ,An,d) be the n-th reinforce matrix. Assuming EAn,j = EAn,1 for all n and j,
Pietro Rigo +3 more
core
Advanced Science, EarlyView.A programmable coupled‐resonator‐induced transparency (CRIT) platform is proposed, generalizing classical electromagnetically induced transparency (EIT) via a spinor representation. By utilizing dual‐channel gauge fields and universal unitary operations, this architecture enables dynamically engineered, reconfigurable slow‐light bands on a silicon ...
Seungkyun Park +5 more
wiley +1 more source
Entropy and the discrete central limit theorem
Stochastic Processes and their Applications15 ...
Lampros Gavalakis, Ioannis Kontoyiannis
openaire +3 more sources
Scalable probabilistic truss decomposition using central limit theorem and H-index. [PDF]
Distrib Parallel Databases, 2022 Esfahani F +4 more
europepmc +1 more source