Estimation for semiparametric nonlinear regression of irregularly located spatial time-series data-Reference-Cited by-同舟云学术

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Estimation for semiparametric nonlinear regression of irregularly located spatial time-series data

Published:2017-04 Issue: Volume:2 Page:22-35
ISSN:2452-3062
Container-title:Econometrics and Statistics
language:en
Short-container-title:Econometrics and Statistics

Author:

Al-Sulami Dawlah,Jiang Zhenyu,Lu Zudi^ORCID,Zhu Jun

Publisher

Elsevier BV

Subject

Statistics, Probability and Uncertainty,Economics and Econometrics,Statistics and Probability

Reference34 articles.

1. Spatial Econometrics: Methods and Models;Anselin,1988

2. Statistics for Spatial Data;Cressie,1993

3. Statistics for Spatio-temporal Data;Cressie,2011

4. House price dynamics: an international empirical perspective;Englund;J. Hous. Econ.,1997

5. Nonlinear Time Series: Nonparametric and Parametric Methods;Fan,2003

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1. On Semiparametrically Dynamic Functional-Coefficient Autoregressive Spatio-Temporal Models with Irregular Location Wide Nonstationarity;Journal of the American Statistical Association;2023-02-28

2. Adaptive estimation for spatially varying coefficient models;AIMS Mathematics;2023

3. Estimation for partially linear additive regression with spatial data;Statistical Papers;2022-06-17

4. Semiparametric Averaging of Nonlinear Marginal Logistic Regressions and Forecasting for Time Series Classification;Econometrics and Statistics;2021-11

5. Unified Principal Component Analysis for Sparse and Dense Functional Data under Spatial Dependency;Journal of Business & Economic Statistics;2021-07-12

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