Influence prediction model for marketing campaigns on e-commerce platforms
Y **ao, Y Zhu, W He, M Huang - Expert Systems with Applications, 2023 - Elsevier
E-commerce platforms are committed to planning various marketing campaigns to make
profits, and the impact of marketing campaigns is determined by the number of consumers …
profits, and the impact of marketing campaigns is determined by the number of consumers …
Detection of the symmetry of model errors for partial linear single-index models
Y Gai, J Zhang - Communications in Statistics-Simulation and …, 2022 - Taylor & Francis
In this paper, we propose ak-th correlation coefficient estimator between the density function
and distribution function of the model errors in single-index models and partial linear single …
and distribution function of the model errors in single-index models and partial linear single …
[图书][B] Nonlinear Network Autoregressive Model with Application to Natural Gas Network Forecasting
X Xu, N Zakiyeva - 2022 - researchgate.net
We propose a nonlinear network autoregressive (NNAR) model to investigate the dynamics
of complex network time series with high-dimensionality and nonlinear spatial-temporal …
of complex network time series with high-dimensionality and nonlinear spatial-temporal …
[PDF][PDF] Nonlinear network autoregressive model with application to natural gas network forecasting
N Zakiyeva, X Xu - Mathematics Japonica, 2020 - opus4.kobv.de
We propose a nonlinear network autoregressive (NNAR) model to investigate the dynamics
of complex network time series with highdimensionality and nonlinear spatial-temporal …
of complex network time series with highdimensionality and nonlinear spatial-temporal …