Results 111 to 120 of about 45,001 (165)
Learning High-dimensional Generalized Linear Autoregressive Models. [PDF]
Hall EC, Raskutti G, Willett RM.
europepmc +1 more source
Nonlinear Structural Vector Autoregressive Models with Application to Directed Brain Networks. [PDF]
Shen Y, Giannakis GB, Baingana B.
europepmc +1 more source
Inferring correlations associated to causal interactions in brain signals using autoregressive models. [PDF]
López-Madrona VJ +4 more
europepmc +1 more source
Variable selection in generalized random coefficient autoregressive models. [PDF]
Zhao Z, Liu Y, Peng C.
europepmc +1 more source
Identifiability and estimation of structural vector autoregressive models for subsampled and mixed-frequency time series. [PDF]
Tank A, Fox EB, Shojaie A.
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
REGRESSION, AUTOREGRESSION MODELS
Journal of Time Series Analysis, 1986Abstract.The accuracy of least squares fitted regression autoregression models as approximations to more general stochastic structures is considered, attention being paid to the accuracy of the estimates of coefficients, of the innovations sequence and to the behaviour of the order (i.e., maximum lag) as determined by methods such as IAC, BIC.
Hannan, E. J., Kavalieris, L.
openaire +2 more sources
Averaged Autoregression Quantiles in Autoregressive Model
2020This paper considers the averaged autoregression quantile in autoregressive models. Our primary interest is its structure, qualities, and its applications. Moreover, under the local heteroscedasticity we investigate the properties of averaged autoregression quantile. For an illustration, a simulation study is provided.
Yeşim Güney +2 more
openaire +1 more source
Grouped spatial autoregressive model
Computational Statistics & Data Analysis, 2023zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Danyang Huang +3 more
openaire +2 more sources

