Evidence map›Paper›PMID 36594047›Full record

ArticleJournal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America2022

Estimation and model selection for nonparametric function-on-function regression.

Zhanfeng Wang, Hao Dong, Ping Ma, Yuedong Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Zhanfeng WangInternational Institute of Finance, The School of Management, University of Science and Technology of China.
Hao DongDepartment of Statistics and Applied Probability, University of California, Santa Barbara.
Ping MaDepartment of Statistics, University of Georgia.
Yuedong WangDepartment of Statistics and Applied Probability, University of California, Santa Barbara.

Funding

Early detection, containment, and management of COVID-19 in dialysis facilities using multi-modal data sourcesR01DK130067 · NIDDK · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI GUO, WENSHENG, KOTANKO, PETER · 2021 to 2023
$2.0M
Deciphering the Regulatory Role of Small RNAs on Alternative Splicing R01GM122080 · NIGMS · UNIVERSITY OF GEORGIA · PI MA, PING · 2016 to 2019
$1.3M
NIDDK NIH HHS R01 DK130067NIGMS NIH HHS R01 GM122080
6 · The paper itself

Abstract

Regression models with a functional response and functional covariate have received significant attention recently. While various nonparametric and semiparametric models have been developed, there is an urgent need for model selection and diagnostic methods. In this article, we develop a unified framework for estimation and model selection in nonparametric function-on-function regression. We propose a general nonparametric functional regression model with the model space constructed through smoothing spline analysis of variance (SS ANOVA). The proposed model reduces to some of the existing models when selected components in the SS ANOVA decomposition are eliminated. We propose new estimation procedures under either

Indexed as

Convergence rateRegularizationReproducing kernel Hilbert spaceSmoothing spline ANOVA

Identifiers

PMID36594047
PMCPMC9802009

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.