Results 121 to 130 of about 8,125 (267)
Sobel filter operation in image processing via stochastic arithmetic-logic unit design
, 2017 © 2017 IEEE.With the increase of technological developments, the speed limit of the processors that have emerged has accelerated the reduction of nanotechnological solutions of transistors into atomic dimensions from nanometers. Physical systems in which
Ece Olcay Gunes +5 more
core +1 more source
The Mathematical History Behind the Granger–Johansen Representation Theorem
Oxford Bulletin of Economics and Statistics, EarlyView.ABSTRACT When can a vector time series that is integrated once (i.e., becomes stationary after taking first differences) be described in error correction form? The answer to this is provided by the Granger–Johansen representation theorem. From a mathematical point of view, the theorem can be viewed as essentially a statement concerning the geometry of ...
Johannes M. Schumacher
wiley +1 more source
Stochastic Index Numbers: A Review
The stochastic approach is a new way of viewing index numbers in which uncertainty and statistical ideas play a central role. Rather than just providing a single number for the rate of inflation, the stochastic approach provides the whole probability ...
E Antony Selvanathan +2 more
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Confidence Intervals for Price Discovery
Oxford Bulletin of Economics and Statistics, EarlyView.ABSTRACT This paper discusses asymptotic and bootstrap confidence intervals for multivariate permanent‐transitory decompositions of cointegrated vector autoregressive I(1) systems, with a focus on price discovery. Alternative estimators of the permanent components are compared in terms of efficiency also under separable linear restrictions on the ...
Heino Bohn Nielsen +2 more
wiley +1 more source
Confidence Intervals for Stochastic Arithmetic
, 2018 Quantifying errors and losses due to the use of Floating-Point (FP) calculations in industrial scientific computing codes is an important part of the Verification, Validation and Uncertainty Quantification (VVUQ) process. Stochastic Arithmetic is one way
De Oliveira Castro, Pablo +5 more
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The Journal of Physiology, EarlyView.Abstract figure legend Machine learning analysis of circulating microRNA (miRNA) profiles identified a minimal set of biomarkers that distinguish individuals with obesity from lean individuals both before and after weight‐loss intervention. Comparative analyses revealed heterogeneous molecular responses to weight reduction, with some miRNAs showing ...
Yuan Yue +4 more
wiley +1 more source
Journal of Forecasting, Volume 45, Issue 4, Page 2059-2077, July 2026.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
Stochastic arithmetic circuits and their implementation in FPGAs
, 2009 W artykule przedstawiono podstawowe układy arytmetyki stochastycznej zrealizowane w technice cyfrowej. W celu zapewnienia maksymalnej szybkości działania, syntezę układów arytmetyki stochastycznej przeprowadzono na elementach logicznych i przerzutnikach.
Kawalec, P.
core
High Performance Numerical Validation using Stochastic Arithmetic
, 2015 International audienceIn the context of high performance computing, numerical validation becomes increasingly important because of the higher level of parallelism and of the large number of operations.
Fortin, Pierre +3 more
core +1 more source
Hybrid Correlated Data in Risk Assessment
Operations Research and Decisions, 2015 A method for evaluating the risks in a situation has been presented where parameters in the calculation are expressed in the form of dependent fuzzy numbers and probability distributions.
Bogdan Rębiasz
doaj