Results 101 to 110 of about 1,035,375 (308)
A Simple Asymptotic Analysis of Residual-Based Statistics [PDF]
What s the asymptotic null distribution of a rank-based serial autocorrelation test applied to residuals of an estimated GARCH model?What s the limiting distribution of estimated ACD parameters applied to the residuals of some first-stage modelling ...
Werker, B.J.M., Andreou, E.
core
Parallel-in-Time/pySDC: Asymptotic convergence
, 2018 <p>This release includes the most recent codes to create the results used for the paper "Asymptotic convergence of the parallel full approximation scheme in space and time for linear problems". All scripts can be found in <code>
Speck, Robert (5241634), Speck, Robert
core +1 more source
Value of Information of Improved Traceability in Fresh Produce Markets
Agribusiness, EarlyView.ABSTRACT Traceability plays an important role in promoting a safe food supply by fostering transparent information exchange along the food supply chain. New technological innovations have the potential to improve traceability outcomes, as greater transparency along the food supply chain can aid in pinpointing precise origins of the contamination ...
Kelsey Vourazeris +2 more
wiley +1 more source
Robust Estimations for the Tail Index of Weibull-Type Distribution
Risks, 2018 Based on suitable left-truncated or censored data, two flexible classes of M-estimations of Weibull tail coefficient are proposed with two additional parameters bounding the impact of extreme contamination.
Chengping Gong, Chengxiu Ling
doaj +1 more source
Asymptotic Convergence Rates of Fourier Path Integral Methods [PDF]
, 1999 The asymptotic rates of convergence of thermodynamic properties with respect to the number of Fourier coefficients, kmax, included in Fourier path integral calculations are derived.
Curotto, E. +7 more
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Embedded Morgan Fingerprints for More Efficient Molecular Property Predictions With Machine Learning
Advanced Intelligent Discovery, EarlyView.High dimensionality of Morgan fingerprints causes overfitting and slow training. Embedded Morgan Fingerprint (eMFP) compresses this encoding while keeping key structural information intact. Tested on five regression models across three databases for HOMO–LUMO gap prediction, eMFP outperforms standard fingerprints, training faster on large, high ...
Emilio Nuñez‐Andrade +4 more
wiley +1 more source
Discrete Dynamics in Nature and Society, 2011 We investigate the almost surely asymptotic stability of Euler-type methods for neutral stochastic delay differential equations (NSDDEs) using the discrete semimartingale convergence theorem.
Zhanhua Yu, Mingzhu Liu
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Asymptotic convergence of weighted random matrices: nonparametric cointegration analysis for I(2) processes. [PDF]
The aim of this paper is to provide a new perspective on the nonparametric co-integration analysis for integrated processes of the second order. Our analysis focus on a pair of random matrices related to such integrated process.
Costantini, Mauro, Cerqueti, Roy
core
A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws
Advanced Intelligent Discovery, EarlyView.The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows +7 more
wiley +1 more source
Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers
Advanced Intelligent Systems, EarlyView.Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica +38 more
wiley +1 more source