On the public citation graph

Higher-Order Approximations for Testing Neglected Nonlinearity

https://doi.org/10.1162/neco_a_00225
0 signed · 29 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.jeconom.2015.03.041openalex-snapshot
Testing linearity using power transforms of regressors
inferredcites →https://doi.org/10.1080/01621459.1986.10478244openalex-snapshot
The Conditional Distribution of Goodness-of-Fit Statistics for Discrete Data
inferredcites →https://doi.org/10.1080/01621459.1994.10476462openalex-snapshot
Specification, Estimation, and Evaluation of Smooth Transition Autoregressive Models
inferredcites →https://doi.org/10.1093/biomet/40.1-2.12openalex-snapshot
APPROXIMATE CONFIDENCE INTERVALS
inferredcites →https://doi.org/10.1093/biomet/40.3-4.306openalex-snapshot
APPROXIMATE CONFIDENCE INTERVALS
inferredcites →https://doi.org/10.1093/biomet/64.2.247openalex-snapshot
Hypothesis testing when a nuisance parameter is present only under the alternative
inferredcites →https://doi.org/10.1093/biomet/71.3.461openalex-snapshot
Tensor Notation and Cumulants of Polynomials
inferredcites →https://doi.org/10.1093/biomet/74.1.33openalex-snapshot
Hypothesis testing when a nuisance parameter is present only under the alternative
inferredcites →https://doi.org/10.1093/biomet/75.3.491openalex-snapshot
Testing Linearity Against Smooth Transition Autoregressive Models
inferredcites →https://doi.org/10.1111/j.1468-0262.2007.00809.xopenalex-snapshot
Testing for Regime Switching
inferredcites →https://doi.org/10.1142/s0218488513400205openalex-snapshot
TESTING FOR NEGLECTED NONLINEARITY USING EXTREME LEARNING MACHINES
inferredcites →https://doi.org/10.1162/neco_a_00117openalex-snapshot
Revisiting Tests for Neglected Nonlinearity Using Artificial Neural Networks
inferredcites →https://doi.org/10.1201/9781351077118openalex-snapshot
Tensor Methods in Statistics
inferredcites →https://doi.org/10.2139/ssrn.1738383openalex-snapshot
Folklore Theorems, Implicit Maps and New Unit Root Limit Theory
inferredcites →https://doi.org/10.2307/2171789openalex-snapshot
Inference When a Nuisance Parameter Is Not Identified Under the Null Hypothesis
inferredcites →https://doi.org/10.2307/2226151openalex-snapshot
Mathematical Methods of Statistics.
inferredcites →https://doi.org/10.2307/2290168openalex-snapshot
Tensor Methods in Statistics.

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.2327635openalex-extracted
Testing Linearity Using Power Transforms of Regressors
inferred← citeshttps://doi.org/10.2139/ssrn.2881985openalex-extracted
inferred← citeshttps://doi.org/10.1002/jae.2589openalex-snapshot
Sequentially Testing Polynomial Model Hypotheses Using Power Transforms of Regressors
inferred← citeshttps://doi.org/10.1007/s00521-023-08952-9openalex-snapshot
Testing a constant mean function using functional regression
inferred← citeshttps://doi.org/10.1016/j.econlet.2012.05.029openalex-snapshot
Testing for the effects of omitted power transformations
inferred← citeshttps://doi.org/10.1016/j.jeconom.2015.03.041openalex-snapshot
Testing linearity using power transforms of regressors
inferred← citeshttps://doi.org/10.1017/s0266466617000354openalex-snapshot
DIRECTIONALLY DIFFERENTIABLE ECONOMETRIC MODELS
inferred← citeshttps://doi.org/10.1080/07474938.2022.2091713openalex-snapshot
Comprehensively testing linearity hypothesis using the smooth transition autoregressive model
inferred← citeshttps://doi.org/10.1080/07474938.2025.2598416openalex-snapshot
A sequential test procedure for the choice of the number of regimes in multivariate nonlinear models
inferred← citeshttps://doi.org/10.1093/acprof:oso/9780199679959.003.0001openalex-snapshot
Testing for Neglected Nonlinearity Using Twofold Unidentified Models under the Null and Hexic Expansions
inferred← citeshttps://doi.org/10.1142/s0218488513400205openalex-snapshot
TESTING FOR NEGLECTED NONLINEARITY USING EXTREME LEARNING MACHINES
inferred← citeshttps://doi.org/10.22812/jetem.2018.29.2.001openalex-snapshot
Testing for the Mixture Hypothesis of Conditional Geometric and Exponential Distributions
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.