Results 81 to 90 of about 264 (161)
Measure‐valued processes for energy markets
Abstract We introduce a framework that allows to employ (non‐negative) measure‐valued processes for energy market modeling, in particular for electricity and gas futures. Interpreting the process' spatial structure as time to maturity, we show how the Heath–Jarrow–Morton approach can be translated to this framework, thus guaranteeing arbitrage free ...
Christa Cuchiero +3 more
wiley +1 more source
Relative Arbitrage Opportunities With Interactions Among N Investors
ABSTRACT The relative arbitrage portfolio outperforms a benchmark portfolio over a given time‐horizon with probability one. With market price of risk processes depending on the market portfolio and investors, this paper analyzes the multi‐agent optimization of relative arbitrage opportunities in the coupled system of market and wealth dynamics.
Tomoyuki Ichiba, Nicole Tianjiao Yang
wiley +1 more source
Solving Stochastic Climate‐Economy Models: A Deep Least‐Squares Monte Carlo Approach
ABSTRACT Stochastic versions of recursive integrated climate‐economy assessment models are essential for studying and quantifying policy decisions under uncertainty. However, as the number of state variables and stochastic shocks increases, solving these models via deterministic grid‐based dynamic programming (e.g., value‐function iteration/projection ...
Aleksandar Arandjelović +4 more
wiley +1 more source
Output-Only Identification of System Parameters from Noisy Measurements by Multiwavelet Denoising
In this paper we estimate the parameters of a multidimensional system from a record of noisy output measurements by using a multiwavelet denoising technique.
O. Al-Gahtani, M. El-Gebeily, Y. Khulief
doaj +1 more source
Parametric Study of Stochastic Subspace Algorithms in Modal Analysis of Moment‐Resistant Frames [PDF]
The Finite Element Model (FEM) derived from the design drawings may not precisely depict the behavior of the actual structure. This is due to various factors, such as construction variations, uncertainties in boundary conditions, discrepancies in ...
Mehran Pourgholi, Saied Mahdavi
doaj +1 more source
Teleosemantics for neural word embeddings
This paper applies a consumer‐based teleosemantic framework to give a detailed analysis of a particular algorithm for generating word embeddings. In the process, it addresses several of the challenges facing teleosemantic approaches to artificial neural networks.
Fintan Mallory
wiley +1 more source
ABSTRACT This study presents a sustainable chemometric‐assisted UV spectrophotometric strategy for the simultaneous determination of candesartan cilexetil (CAN), chlorthalidone (CTL) and amlodipine (AML) in laboratory‐prepared mixtures and commercial pharmaceutical formulations.
Khanda F. M. Amin +3 more
wiley +1 more source
Stochastic Gradient Descent in High Dimensions for Multi‐Spiked Tensor PCA
ABSTRACT We study the high‐dimensional dynamics of online stochastic gradient descent (SGD) for the multi‐spiked tensor model. This multi‐index model arises from the tensor principal component analysis (PCA) problem with multiple spikes, where the goal is to estimate the unknown signal vectors within the N$N$‐dimensional unit sphere through maximum ...
Gérard Ben Arous +2 more
wiley +1 more source
With the rapid development of underground engineering in China, the heavy structural maintenance work followed is expected to be a great challenge in the future.
Biao Zhou, Xiongyao Xie, Xiaojian Wang
doaj +1 more source
ABSTRACT The management of lifespan and safety performance, aimed at ensuring the structural integrity and durability of highway infrastructure, has become an increasingly important area of research. In civil engineering, traditional methods for evaluating dynamic behavior, such as Operational Modal Analysis and the Peak Picking technique, often fall ...
Gianna Agrò, Mariantonietta Ruggieri
wiley +1 more source

