Amanote Research

Amanote Research

    RegisterSign In

Semiparametric Ultra-High Dimensional Model Averaging of Nonlinear Dynamic Time Series

SSRN Electronic Journal
doi 10.2139/ssrn.2711370
Full Text
Open PDF
Abstract

Available in full text

Date

January 1, 2015

Authors
Jia ChenDegui LiOliver B. LintonZudi Lu
Publisher

Elsevier BV


Related search

High Dimensional Nonstationary Time Series Modelling With Generalized Dynamic Semiparametric Factor Model

SSRN Electronic Journal
2010English

Intracranial Pressure Forecasting in Children Using Dynamic Averaging of Time Series Data

Forecasting
2018English

Plug-In Regularized Estimation of High Dimensional Parameters in Nonlinear Semiparametric Models

2018English

Model Selection for Nonlinear Time Series

Empirical Economics
StatisticsProbabilityEconomicsEconometricsMathematicsSocial Sciences
2004English

Prediction Model for Nonlinear Deformation Time Series

2015English

High Dimensional Semiparametric Moment Restriction Models

2018English

High Dimensional Semiparametric Moment Restriction Models

2018English

Specification of Dynamic Time Series Model With Volatile-Outlier Input Series

American Journal of Applied Sciences
Multidisciplinary
2011English

Semiparametric Quantile Regression With High-Dimensional Covariates

Statistica Sinica
UncertaintyStatisticsProbability
2012English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy