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Paper Citation Record · LEDGER

On estimation and prediction in spatial functional linear regression model

As of 16 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:1908.02143.

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pith.paper-citation-record.v1
1908.02143 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:28:44.482173Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

23 of 23 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 98727933-b66a-4c9e-b01e-829154375325 · outbound

This paper cites On the Prediction of Stationary Fu nc- tional Time Series.

On estimation and prediction in spatial functional linear regression model On the Prediction of Stationary Fu nc- tional Time Series

Reference 1

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Observation e3b16eac-981d-4070-b552-be610c5fb2c7 · outbound

This paper cites Nonparamatric Spatial Prediction.

On estimation and prediction in spatial functional linear regression model Nonparamatric Spatial Prediction

Reference 2

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Observation 9fe5f219-7b22-47b0-8e3d-35ac33596d5f · outbound

This paper cites Optimal sampling for spatial pr e- diction of functional data.

On estimation and prediction in spatial functional linear regression model Optimal sampling for spatial pr e- diction of functional data

Reference 3

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Observation 715bffbf-5634-46f2-b688-3def3f744608 · outbound

This paper cites Multivariate functional rando m fields: prediction and optimal sampling.

On estimation and prediction in spatial functional linear regression model Multivariate functional rando m fields: prediction and optimal sampling

Reference 4

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Observation e220c395-5ac8-4344-9fc9-7de4fbb5c242 · outbound

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On estimation and prediction in spatial functional linear regression model Unresolved cited work

Reference 5

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Observation a93d4684-85f3-4042-b6b1-6bc8fb6d46e8 · outbound

This paper cites Adaptive functional linear regression.

On estimation and prediction in spatial functional linear regression model Adaptive functional linear regression

Reference 6

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Observation 0f2cf84f-9844-40b2-97f4-7987a3d9a478 · outbound

This paper cites Smoothing splines estimators for fu nc- tional linear regression.

On estimation and prediction in spatial functional linear regression model Smoothing splines estimators for fu nc- tional linear regression

Reference 7

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Source-reported events for the cited work

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Observation 69c6823d-81d8-4ded-a860-11cbff3371e4 · outbound

This paper cites A partial overview of the theory of statistics with fun ctional data.

On estimation and prediction in spatial functional linear regression model A partial overview of the theory of statistics with fun ctional data

Reference 8

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Source-reported events for the cited work

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Observation 275f2348-ea18-4775-8028-cb33808be550 · outbound

This paper cites Smoothing parameter se lection methods for nonparametric regression with spatially correlated er rors.

On estimation and prediction in spatial functional linear regression model Smoothing parameter se lection methods for nonparametric regression with spatially correlated er rors

Reference 9

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Observation be833b55-d45a-469f-a098-e21f9c429e83 · outbound

This paper cites Asymptotic normality of the Parzen-Rosenbla tt den- sity estimator for strongly mixing random fieldsStat.

On estimation and prediction in spatial functional linear regression model Asymptotic normality of the Parzen-Rosenbla tt den- sity estimator for strongly mixing random fieldsStat

Reference 10

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Observation 320101e3-31e3-4a16-99ac-06bd26f882b3 · outbound

This paper cites geofd: An R Package for Function- Valued Geostatistical Prediction.

On estimation and prediction in spatial functional linear regression model geofd: An R Package for Function- Valued Geostatistical Prediction

Reference 11

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Observation d6bedb68-8631-4aa6-bd63-becd12690065 · outbound

This paper cites Cokriging based on curves, prediction and estimation o f the prediction variance, InterStat 2014; 2:1–30.

On estimation and prediction in spatial functional linear regression model Cokriging based on curves, prediction and estimation o f the prediction variance, InterStat 2014; 2:1–30

Reference 12

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This paper cites Statistical modelin g of spatial data big data: An approach from a functional data analysis perspective.

On estimation and prediction in spatial functional linear regression model Statistical modelin g of spatial data big data: An approach from a functional data analysis perspective

Reference 13

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On estimation and prediction in spatial functional linear regression model Ordinary kriging for function-v alued spatial data

Reference 14

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This paper cites Weakly dependent functional data.

On estimation and prediction in spatial functional linear regression model Weakly dependent functional data

Reference 15

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On estimation and prediction in spatial functional linear regression model Functional linear regression with points o f impact

Reference 16

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On estimation and prediction in spatial functional linear regression model Functional principal component analysis of spatially correlated data

Reference 17

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On estimation and prediction in spatial functional linear regression model Functional linear regression with derivat ives

Reference 18

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On estimation and prediction in spatial functional linear regression model Cokriging for spatial f unctional data

Reference 19

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This paper cites Spatial autoregressive and moving average hilb ertian processes.

On estimation and prediction in spatial functional linear regression model Spatial autoregressive and moving average hilb ertian processes

Reference 20

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Source-reported events for the cited work

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On estimation and prediction in spatial functional linear regression model Spatial functional prediction from spatial au- toregressive hilbertian processes

Reference 21

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On estimation and prediction in spatial functional linear regression model Kernel density estimation on random fields

Reference 22

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Source-reported events for the cited work

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This paper cites Polynomial spline estimation for partial f unc- tional linear regression models.

On estimation and prediction in spatial functional linear regression model Polynomial spline estimation for partial f unc- tional linear regression models

Reference 23

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Source-reported events for the cited work

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