Results 61 to 70 of about 1,139,330 (298)
Valuation equations for stochastic volatility models [PDF]
, 2011 We analyze the valuation partial differential equation for European contingent claims in a general framework of stochastic volatility models where the diffusion coefficients may grow faster than linearly and degenerate on the boundaries of the state ...
Bayraktar, Erhan +2 more
core +2 more sources
What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
On the effectiveness of the new estimators obtained from the Bayes estimator
AIMS MathematicsEstimating the mean parameters in random variables, particularly within multivariate normal distributions, is a critical issue in statistics. Traditional methods, such as the maximum likelihood estimator, often struggle in high-dimensional or small ...
Amani Alahmadi +2 more
doaj +1 more source
Parameter estimation of Stochastic Logistic Model : Levenberg-Marquardt Method [PDF]
, 2009 In this paper, we estimate the drift and diffusion parameters of the stochas- tic logisticmodels for the growth of Clostridium Acetobutylicum P262 using Levenberg- Marquardt optimization method of non linear least squares.
Abd. Rahman, Haliza +5 more
core
Advanced Engineering Materials, EarlyView.Iron‐based metallic glass alloys exhibit excellent soft‐magnetic properties, and unprecedented geometrical freedom in the design of soft‐magnetic metallic glass components is made possible by additive manufacturing. An efficient workflow for developing parameters for laser‐based powder bed fusion of a Fe‐based metallic glass alloy is presented along ...
Julia Löfstrand +7 more
wiley +1 more source
Local Linear Regression for Functional Ergodic Data with Missing at Random Responses
MathematicsIn this article, we develop a novel kernel-based estimation framework for functional regression models in the presence of missing responses, with particular emphasis on the Missing At Random (MAR) mechanism.
Yassine Baghli +2 more
doaj +1 more source
Special Issue on “Terrestrial Laser Scanning”: Editors’ Notes
Sensors, 2019 In this editorial, we provide an overview of the content of the special issue on “Terrestrial Laser Scanning”. The aim of this Special Issue is to bring together innovative developments and applications of terrestrial laser scanning (TLS ...
Joan R. Rosell-Polo +2 more
doaj +1 more source
Stochastic models of the chemostat [PDF]
, 2010 We consider the modeling of the dynamics of the chemostat at its very source. The chemostat is classically represented as a system of ordinary differential equations.
Campillo, Fabien +2 more
core +3 more sources
Critical scaling of stochastic epidemic models
, 2007 In the simple mean-field SIS and SIR epidemic models, infection is transmitted from infectious to susceptible members of a finite population by independent $p-$coin tosses.
Lalley, Steven P.
core +2 more sources
Advanced Engineering Materials, EarlyView.In this experimental study, the mechanical properties of additively manufactured Ti‐6Al‐4V lattice structures of different geometries are characterized using compression, four point bending and fatigue testing. While TPMS designs show superior fatigue resistance, SplitP and Honeycomb lattice structures combine high stiffness and strength. The resulting
Klaus Burkart +3 more
wiley +1 more source