Show newer

How reliable are remote sensing maps calibrated over large areas? A matter of scale? arxiv.org/abs/2408.03953 .AP

Testing for a general changepoint in psychometric studies: changes detection and sample size planning arxiv.org/abs/2408.04056 .ME .CO

A Framework for Assessing Cumulative Exposure to Extreme Temperatures During Transit Trip arxiv.org/abs/2408.04081 .AP .CY

A robust approach for generalized linear models based on maximum Lq-likelihood procedure arxiv.org/abs/2408.04176 .ME

Real-time modelling of the SARS-CoV-2 pandemic in England 2020-2023: a challenging data integration arxiv.org/abs/2408.04178 .AP

An Upper Confidence Bound Approach to Estimating the Maximum Mean arxiv.org/abs/2408.04179 .ST .ML .TH .LG

Better Locally Private Sparse Estimation Given Multiple Samples Per User arxiv.org/abs/2408.04313 .ML .ME .LG

BayesFBHborrow: An R Package for Bayesian borrowing for time-to-event data from a flexible baseline hazard arxiv.org/abs/2408.04327 .ME .AP .CO

Advances in Bayesian model selection consistency for high-dimensional generalized linear models arxiv.org/abs/2408.04359 .ST .TH

A Novel Approximate Bayesian Inference Method for Compartmental Models in Epidemiology using Stan arxiv.org/abs/2408.03415 .ME .CO

When does the mean network capture the topology of a sample of networks? arxiv.org/abs/2408.03461 .data-an .ML .LG .SI

Identifying treatment response subgroups in observational time-to-event data arxiv.org/abs/2408.03463 .ME .AI

Maximum a Posteriori Estimation for Linear Structural Dynamics Models Using Bayesian Optimization with Rational Polynomial Chaos Expansions arxiv.org/abs/2408.03569 .ML .LG

Automated Techniques for Efficient Sampling of Piecewise-Deterministic Markov Processes arxiv.org/abs/2408.03682 .CO

Bayes-optimal learning of an extensive-width neural network from quadratically many samples arxiv.org/abs/2408.03733 -mat.dis-nn .ML .IT .PR .IT .LG

Parameter estimation for the generalized extreme value distribution: a method that combines bootstrapping and r largest order statistics arxiv.org/abs/2408.03738 .ME .AP

Varying coefficients correlated velocity models in complex landscapes with boundaries applied to narwhal responses to noise exposure arxiv.org/abs/2408.03741 .AP

Show older
Qoto Mastodon

QOTO: Question Others to Teach Ourselves
An inclusive, Academic Freedom, instance
All cultures welcome.
Hate speech and harassment strictly forbidden.