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Record W3202333076 · doi:10.1002/cjs.11660

Best approach direction for spherical random variables

2021· article· en· W3202333076 on OpenAlexvenueno aff
Jayant Jha

Bibliographic record

VenueCanadian Journal of Statistics · 2021
Typearticle
Languageen
FieldMathematics
TopicAdvanced Statistical Methods and Models
Canadian institutionsnot available
Fundersnot available
KeywordsQuantileEstimatorMathematicsCircular symmetryComputationSPHERESRandom variableSymmetry (geometry)Applied mathematicsSample (material)PolynomialStatistical physicsAlgorithmMathematical analysisStatisticsGeometryPhysics

Abstract

fetched live from OpenAlex

The quantiles of projections are discussed for spherical random variables. The concept of best approach direction is defined for any quantile based on the ordering of projections in different directions. The usefulness of the concept is discussed when the preferred direction for a specified proportion of observations is of interest. The variation of best approach directions with quantiles is studied for different families of distributions on the sphere, which helps in gaining insights into the symmetry, uniformity, and multimodality of the distributions. Exact polynomial‐time algorithms are provided for the computation of its estimate on circle and spheres. The connected highest sample‐density regions for spherical observations can be directly derived from these estimates. Inferential properties of the estimator are studied. Simulations and analyses of real data are performed to illustrate the results.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.054
Threshold uncertainty score0.782

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.108
GPT teacher head0.360
Teacher spread0.252 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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