Evidence map›Paper›PMID 31772696›Full record

ArticleThe annals of applied statistics2018

ADJUSTED REGULARIZATION IN LATENT GRAPHICAL MODELS: APPLICATION TO MULTIPLE-NEURON SPIKE COUNT DATA.

Giuseppe Vinci, Valérie Ventura, Matthew A Smith, Robert E Kass

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The annals of applied statistics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Graphical Model Inference with Erosely Measured Data.Journal of the American Statistical Association · 2024
    Article
  2. Review
  3. Latent Network Estimation and Variable Selection for Compositional Data Via Variational EM.Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America · 2022
    Article
  4. 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.

Giuseppe VinciRice University, Department of Statistics, Duncan Hall, 6100 Main St, Houston, 77005, TX, USA.
Valérie VenturaCarnegie Mellon University, Department of Statistics, Baker Hall 132, 5000 Forbes Avenue, Pittsburgh, 15203, PA, USA.
Matthew A SmithUniversity of Pittsburgh, Department of Ophthalmology, Eye and Ear Institute, Room 914 203 Lothrop St., Pittsburgh, PA 15213, USA.
Robert E KassCarnegie Mellon University, Department of Statistics, Baker Hall 132, 5000 Forbes Avenue, Pittsburgh, 15203, PA, USA.

Funding

Virus Production and Manipulation of Protein/Gene Expression ModuleP30EY008098 · NEI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Ethan A Rossi · 1989 to 2026
$17.8M
Diversity supplement to Analysis of Nonstationary Point Process DataR01MH064537 · NIMH · CARNEGIE-MELLON UNIVERSITY · PI KASS, ROBERT E · 2001 to 2024
$7.2M
Dynamic Mechanisms of active vision in prefrontal cortexR01EY022928 · NEI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SMITH, MATTHEW A · 2014 to 2018
$1.9M
NEI NIH HHS P30 EY008098NEI NIH HHS R01 EY022928NIMH NIH HHS R01 MH064537
6 · The paper itself

Abstract

A major challenge in contemporary neuroscience is to analyze data from large numbers of neurons recorded simultaneously across many experimental replications (trials), where the data are counts of neural firing events, and one of the basic problems is to characterize the dependence structure among such multivariate counts. Methods of estimating high-dimensional covariation based on

Indexed as

Bayesian inferenceGaussian graphical modelsGaussian scale mixturehigh dimensionalitylassolatent variable modelsmacaque prefrontal cortexmacaque visual cortexPoisson-lognormalPrimary 60K35, 60K35secondary 60K35sparsityspike-counts

Identifiers

PMID31772696
PMCPMC6879176

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.