Maximum Entropy Estimation of Probability Distribution of Variables in Higher Dimensions from Lower Dimensional Data.

Jayajit Das, Sayak Mukherjee, Susan E Hodge

Abstract read

In one paragraph

Article in Entropy (Basel, Switzerland), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it

0cells of the map it votes in

2citing 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

2 citing papers in PubMed.

Maximum Entropy Framework for Predictive Inference of Cell Population Heterogeneity and Responses in Signaling Networks.Cell systems · 2020
Article
Mutations in bacterial genes induce unanticipated changes in the relationship between bacterial pathogens in experimental otitis media.Royal Society open science · 2018
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

3 authors.

Jayajit DasBattelle Center for Mathematical Medicine, Research Institute at the Nationwide Childre's Hospital, 700 Children's Drive, OH 43205, USA; Department of Pediatrics, The Ohio State University, Columbus, OH 43205, USA; Department of Physics, The Ohio State University, Columbus, OH 43210, USA; Department of Biophysics Program, The Ohio State University, Columbus, OH 43210, USA.

Sayak MukherjeeBattelle Center for Mathematical Medicine, Research Institute at the Nationwide Childre's Hospital, 700 Children's Drive, OH 43205, USA; Department of Pediatrics, The Ohio State University, Columbus, OH 43205, USA.

Susan E HodgeBattelle Center for Mathematical Medicine, Research Institute at the Nationwide Childre's Hospital, 700 Children's Drive, OH 43205, USA; Department of Pediatrics, The Ohio State University, Columbus, OH 43205, USA.

Funding

Quantitative Determination of Ecological Niches for Polymicrobial Colonization inR01GM103612 · NIGMS · RESEARCH INST NATIONWIDE CHILDREN'S HOSP · PI DAS, JAYAJIT · 2014 to 2017

$1.3M

NIGMS NIH HHS R01 GM103612

6 · The paper itself

Abstract

A common statistical situation concerns inferring an unknown distribution Q(x) from a known distribution P(y), where X (dimension n), and Y (dimension m) have a known functional relationship. Most commonly, n ≤ m, and the task is relatively straightforward for well-defined functional relationships. For example, if Y

Indexed as

joint probability distributionmaximum entropymicrobial ecology

Identifiers

PMID26843809

DOI10.3390/e17074986

PMCPMC4734403

What OpenQuestion holds

Textmetadata

LicenceCC BY

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Registered trials

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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.