On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,694 papers · 148 categories

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6 results for “Probit-link”

Bayesian Classification with Probit-link Split-and-merge Gaussian Process Prior in EEG-based Brain-Computer Interfacesstat.AP

Novel Bayesian model improves EEG-based BCI character selection.

problem Accurately identifying target-related responses in EEG-based BCIs.

method Probit-link Split-and-merge Gaussian Process (P-SMGP) prior for feature selection.

result Reduces computational complexity and provides interpretable statistical interpretations.

Bayesian classification EEG-based BCI Probit-link Gaussian Process Feature selection

2026-05-29abs ↗pdf ↗

A Probit Tensor Factorization Model For Relational Learningcs.LG

Proposes a new tensor factorization model for better link prediction in knowledge graphs.

problem Lack of information in treating missing and non-existing relations equally in tensor factorization models.

method Introduces a binary tensor factorization model with probit link to address the issue.

result Shows improved prediction accuracy and interpretability compared to existing models.

tensor factorization link prediction knowledge graph probit link statistical relational learning

2021-11-06abs ↗pdf ↗

Inferring Latent Structure From Mixed Real and Categorical Relational Datacs.LG

We consider analysis of relational data (a matrix), in which the rows correspond to subjects (e.g., people) and the columns correspond to attributes. The elements of the matrix may be a mix of real and categorical. Each subject and attribute is characterized by a latent binary feature vector, and an inferred matrix map…

2012-06-27abs ↗pdf ↗

Mean-field Variational Bayes for Sparse Probit Regressionstat.CO

Efficiently identifies important variables in binary outcomes using variational Bayes.

problem Bayesian variable selection for binary outcomes with computational challenges.

method Mean-field variational Bayes approximation with closed-form updates and efficient inference algorithm.

result Successfully identifies important variables and is orders of magnitude faster than MCMC.

Bayesian variable selection probit regression variational Bayes coordinate ascent spike-and-slab prior

2026-01-29abs ↗pdf ↗

Learning Nonlinear Regime Transitions via Semi-Parametric State-Space Modelsstat.ML

Develops a flexible model for regime transitions in time series data.

problem Nonlinear and context-dependent regime transitions in time series data.

method Semi-parametric state-space model with learned transition functions.

result Improved recovery of nonlinear transition dynamics and earlier detection of regime changes.

regime transitions time series nonlinear models state-space flexible models

2026-04-03abs ↗pdf ↗

Bayesian predictive modeling of multi-source multi-way datastat.ME

Bayesian model predicts iron deficiency from multi-source multi-way molecular data.

problem Predicting iron deficiency in rhesus monkeys from multi-source multi-way molecular data.

method Developed a Bayesian approach with a linear model incorporating multi-way dependence and varying signal sizes across sources.

result Model accurately classifies iron deficiency in monkeys and outperforms simpler models.

Bayesian modeling multi-source data multi-way data iron deficiency omics data

2022-08-05abs ↗pdf ↗