↓ Skip to main content

Functional and High-Dimensional Statistics and Related Fields

Overview of attention for book
Cover of 'Functional and High-Dimensional Statistics and Related Fields'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 An introduction to the (postponed) 5th edition of the International Workshop on Functional and Operatorial Statistics
  3. Altmetric Badge
    Chapter 2 Analysis of Telecom Italia Mobile Phone Data by Space-time Regression with Differential Regularization
  4. Altmetric Badge
    Chapter 3 Some Numerical Test on the Convergence Rates of Regression with Differential Regularization
  5. Altmetric Badge
    Chapter 4 Learning with Signatures
  6. Altmetric Badge
    Chapter 5 About the Complexity Function in Small-ball Probability Factorization
  7. Altmetric Badge
    Chapter 6 Principal Components Analysis of a Cyclostationary Random Function
  8. Altmetric Badge
    Chapter 7 Level Set and Density estimation on Manifolds
  9. Altmetric Badge
    Chapter 8 Pseudo-metrics as Interesting Tool in Nonparametric Functional Regression
  10. Altmetric Badge
    Chapter 9 Testing a Specification Form in Single Functional Index Model
  11. Altmetric Badge
    Chapter 10 A New Method for Ordering Functional Data and its Application to Diagnostic Test
  12. Altmetric Badge
    Chapter 11 A Functional Data Analysis Approach to the Estimation of Densities over Complex Regions
  13. Altmetric Badge
    Chapter 12 A Conformal Approach for Distribution-free Prediction of Functional Data
  14. Altmetric Badge
    Chapter 13 G-Lasso Network Analysis for Functional Data
  15. Altmetric Badge
    Chapter 14 Modelling Functional Data with High-dimensional Error Structure
  16. Altmetric Badge
    Chapter 15 Goodness-of-fit Tests for Functional Linear Models Based on Integrated Projections
  17. Altmetric Badge
    Chapter 16 From High-dimensional to Functional Data: Stringing Via Manifold Learning
  18. Altmetric Badge
    Chapter 17 Functional Two-sample Tests Based on Empirical Characteristic Functionals
  19. Altmetric Badge
    Chapter 18 Some Remarks on the Nelson–Siegel Model
  20. Altmetric Badge
    Chapter 19 Modeling the Effect of Recurrent Events on Time-to-event Processes by Means of Functional Data
  21. Altmetric Badge
    Chapter 20 On Robust Training of Regression Neural Networks
  22. Altmetric Badge
    Chapter 21 Simultaneous Inference for Function-valued Parameters: a Fast and Fair Approach
  23. Altmetric Badge
    Chapter 22 Single Functional Index Model under Responses MAR and Dependent Observations
  24. Altmetric Badge
    Chapter 23 O2S2 for the Geodata Deluge
  25. Altmetric Badge
    Chapter 24 Riemannian Distances between Covariance Operators and Gaussian Processes
  26. Altmetric Badge
    Chapter 25 Depth in Infinite-dimensional Spaces
  27. Altmetric Badge
    Chapter 26 Variable Selection in Semiparametric Bi-functional Models
  28. Altmetric Badge
    Chapter 27 Local Inference for Functional Data Controlling the Functional False Discovery Rate
  29. Altmetric Badge
    Chapter 28 Optimum Scale Selection for 3D Point Cloud Classification through Distance Correlation
  30. Altmetric Badge
    Chapter 29 Generalized Functional Partially Linear Single-index Models
  31. Altmetric Badge
    Chapter 30 Functional Outlier Detection through Probabilistic Modelling
  32. Altmetric Badge
    Chapter 31 Topological Object Data Analysis Methods with an Application to Medical Imaging
  33. Altmetric Badge
    Chapter 32 Distribution-free Pointwise Adjusted %-values for Functional Hypotheses
Attention for Chapter 32: Distribution-free Pointwise Adjusted %-values for Functional Hypotheses
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
4 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Distribution-free Pointwise Adjusted %-values for Functional Hypotheses
Chapter number 32
Book title
Functional and High-Dimensional Statistics and Related Fields
Published in
arXiv, June 2020
DOI 10.1007/978-3-030-47756-1_32
Book ISBNs
978-3-03-047755-4, 978-3-03-047756-1
Authors

Meng Xu, Philip T. Reiss, Xu, Meng, Reiss, Philip T.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 25%
Professor > Associate Professor 1 25%
Unknown 2 50%
Readers by discipline Count As %
Computer Science 1 25%
Social Sciences 1 25%
Unknown 2 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 August 2020.
All research outputs
#13,043,494
of 23,217,343 outputs
Outputs from arXiv
#194,956
of 956,704 outputs
Outputs of similar age
#183,780
of 399,259 outputs
Outputs of similar age from arXiv
#7,444
of 35,020 outputs
Altmetric has tracked 23,217,343 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 956,704 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 79% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 399,259 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 35,020 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.