Results 211 to 220 of about 302,370 (330)

Forecasting Count Data With Varying Dispersion: A Latent‐Variable Approach

Journal of Forecasting, EarlyView.
ABSTRACT Count data, such as product sales and disease case counts, are common in business forecasting and many areas of science. Although the Poisson distribution is the best known model for such data, its use is severely limited by its assumption that the dispersion is a fixed function of the mean, which rarely holds in real‐world scenarios.
Easton Huch, Candace Berrett, Mason Ferlic, Kimberly F. Sellers   +3 more
wiley   +1 more source

Data-driven path-following control for unmanned surface vehicles. [PDF]

Sci Rep
Ryu JW, Han S, Kim D.
europepmc   +1 more source

On the $Psi$-conditional asymptotic stability of the solutions of a nonlinear Volterra integro-differential system

, 2007
Aurel Diamandescu
openalex   +1 more source

Asymptotic and Lyapunov stability of Poisson equilibria [PDF]

, 2004
Juan‐Pablo Ortega, Vı́ctor Planas-Bielsa, Tudor S. Raţiu   +2 more
openalex   +1 more source

Intraday Functional PCA Forecasting of Cryptocurrency Returns

Journal of Forecasting, EarlyView.
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

Flow Stability of Nanofluid Thin Films on Non-Uniformly Heated Porous Slopes. [PDF]

Nanomaterials (Basel)
Li J, Li X, Yue L, Li X, Ding Z.
europepmc   +1 more source

Stability and asymptotic profile of steady state solutions to a reaction-diffusion pelagic-benthic algae growth model

, 2019
Junping Shi, Jimin Zhang, Xiaoyan Zhang
openalex   +2 more sources

An asymptotic stability condition for inhomogeneous simple shear [PDF]

, 1989
H. Tz. Chen, A. S. Douglas, Reza Malek‐Madani   +2 more
openalex   +1 more source

Evaluating Forecasts at Multiple Horizons: An Extension of the Diebold–Mariano Approach

Journal of Forecasting, EarlyView.
ABSTRACT Forecast accuracy tests are fundamental tools for comparing competing predictive models. The widely used Diebold–Mariano (DM) test assesses whether differences in forecast errors are statistically significant. However, its standard form is limited to pairwise comparisons at a single forecast horizon.
Andrew Grant, Matus Mrazik, Steve Satchell   +2 more
wiley   +1 more source

Active Compensation Fault-Tolerant Control for Uncertain Systems with Both Actuator and Sensor Faults. [PDF]

Sensors (Basel)
Ling X, Xu H, Zhu F.
europepmc   +1 more source