Results 1 to 10 of about 1,946,882 (294)
PLoS ONEDemand forecasting is a quite challenging task, which is sensitive to several factors such as endogenous and exogenous parameters. In the context of supply chain management, demand forecasting aids to optimize the resources effectively.
Mohamed Irhuma +3 more
doaj +1 more source
, 2009 Direct analytic continuation of the self energy is used to determine the effect of antiferromagnetic ordering on the spectral function and optical conductivity of a Mott insulator.
Capone, Massimo +4 more
core +1 more source
The Order Barrier for Strong Approximation of Rough Volatility Models
, 2016 We study the strong approximation of a rough volatility model, in which the log-volatility is given by a fractional Ornstein-Uhlenbeck process with Hurst parameter ...
Neuenkirch, Andreas, Shalaiko, Taras
core
The Venture Capital Solution to the Problem of Close Corporation Shareholder Fiduciary Duties [PDF]
, 2001 In this report we study estimation of time-delays in linear dynamical systems with additive noise. Estimating time-delays is a common engineering problem, e.g. in automatic control, system identification and signal processing.
Stevenson, Shannon Wells
core +1 more source
Imputing missing values using cumulative linear regression
CAAI Transactions on Intelligence Technology, 2019 The concept of missing data is important to apply statistical methods on the dataset. Statisticians and researchers may end up to an inaccurate illation about the data if the missing data are not handled properly.
Samih M. Mostafa
doaj +1 more source
Nonparametric Kernel estimation of annual maximum stream flow quantiles. [PDF]
, 2002 A nonparametric kernel methods is proposed and evaluated performance for estimating annual maximum stream flow quantiles. The bandwidth of the estimator is estimated by using an optimal technique and a cross-validation technique.
Shabri, Ani
core
End to End Deep Neural Network Frequency Demodulation of Speech Signals
, 2017 Frequency modulation (FM) is a form of radio broadcasting which is widely used nowadays and has been for almost a century. We suggest a software-defined-radio (SDR) receiver for FM demodulation that adopts an end-to-end learning based approach and ...
DE Rumelhart +9 more
core +1 more source
Applied Sciences, 2019 There have been numerous studies on traffic accidents and their severity, particularly in relation to weather conditions and road geometry. In these studies, traditional statistical methods have been employed, such as linear regression, logistic ...
Jonghak Lee +3 more
doaj +1 more source
Robust Reduced-Rank Adaptive Processing Based on Parallel Subgradient Projection and Krylov Subspace Techniques [PDF]
, 2013 In this paper, we propose a novel reduced-rank adaptive filtering algorithm by blending the idea of the Krylov subspace methods with the set-theoretic adaptive filtering framework.
Isao Yamada +3 more
core
پژوهشهای ریاضی, 2018 Estimation of statistical distribution parameter is one of the important subject of statistical inference. Due to the applications of Lomax distribution in business, economy, statistical science, queue theory, internet traffic modeling and so on, in this
Roshanak Zaman, Parviz Nasiri
doaj