Results 111 to 120 of about 221,116 (284)
MARTINGALE APPROXIMATION OF NON-STATIONARY STOCHASTIC PROCESSES
We generalise the martingale-coboundary representation of discrete time stochastic processes to the non-stationary case and to random variables in Orlicz spaces. Related limit theorems (CLT, invariance principle, log–log law, probabilities of large deviations) are studied.
openaire +3 more sources
Are seizure forecasts and cycles better than chance? What chance?
Abstract Objective There is a growing synergy between the lines of research on cycles in epilepsy and seizure forecasting. It has been conjectured, for instance, that incorporating information about significant seizure cycles into forecasting algorithms can lead to a better‐than‐chance forecasting performance.
Ralph G. Andrzejak +4 more
wiley +1 more source
FRACTIONAL BROWNIAN SHEET HOJA BROWNIANA FRACCIONAL
Fractional brownian sheet or two parameter fractional brownian motion and some important properties with selfsimilar and stationary increments are presented.
Blanco Castañeda Liliana +1 more
doaj
Covariance Structure Modeling of Engineering Demand Parameters in Cloud‐Based Seismic Analysis
ABSTRACT Probabilistic seismic demand modeling aims to estimate structural demand as a function of ground motion intensity—a critical stage in seismic risk assessment. Although many models exist to describe the structural demand, few consider the covariance among engineering demand parameters, potentially overlooking a key factor in improving the ...
Archie Rudman +3 more
wiley +1 more source
Tri‐fuel diesel–Calophyllum inophyllum biodiesel–hydrogen operation was tested over 96 points in a diesel engine. Eight performance and emission metrics feed a preference‐agnostic Bootstrapped Empirical Multiobjective Ranking and Selection methodology, revealing load‐blend‐hydrogen windows that increase efficiency, restrain smoke, and expose NOx trade ...
C. Naga Kumar +5 more
wiley +1 more source
Machine Learning Approaches for GC–MS Data Interpretation in Flavour and Fragrance Analysis
The review explores machine learning integration in GC‐MS data analysis for the fragrance and flavour industry, highlighting recent advances and techniques in a context constrained by data scarcity and intellectual property concerns. ABSTRACT This review explores the integration of machine learning (ML) in the analysis of mass spectrometry data ...
Jean‐Baptiste Coffin +3 more
wiley +1 more source
ABSTRACT This paper presents a new hybrid model for predicting German electricity prices. The algorithm is based on a combination of Gaussian process regression (GPR) and support vector regression (SVR). Although GPR is a competent model for learning stochastic patterns within data and for interpolation, its performance for out‐of‐sample data is not ...
Abhinav Das +2 more
wiley +1 more source
Intraday Functional PCA Forecasting of Cryptocurrency Returns
ABSTRACT We study the functional PCA (FPCA) forecasting method in application to functions of intraday returns on Bitcoin. We show that improved interval forecasts of future return functions are obtained when the conditional heteroscedasticity of return functions is taken into account.
Joann Jasiak, Cheng Zhong
wiley +1 more source
Oil Futures Prices, Inflation Expectations, and Bond Risk Premiums
ABSTRACT By decomposing West Texas Intermediate futures price changes into structural supply and demand shocks, this paper shows that dissecting the oil price significantly improves inflation forecasts. Empirically, demand‐driven shocks predict a negative real bond risk premium but a positive inflation risk premium; these opposing effects result in an ...
Haibo Jiang
wiley +1 more source
Ruch liniowego układu dynamicznego po losowo nierównej belce na sprężystym podłożu
Motion of a linear system on the uneven beam on an elastic foundations A dynamic system with elastic and viscous bonds is moving on the undulated surface of an indefinitely long beam on elastic foundations.
Andrzej CHUDZIKIEWICZ
doaj

