arXiv Statistics @arxiv_stats@qoto.org

Evolutionary shift detection with ensemble variable selection. (arXiv:2204.06032v1 [q-bio.PE]) http://arxiv.org/abs/2204.06032

The sparse Polynomial Chaos expansion: a fully Bayesian approach with joint priors on the coefficients and global selection of terms. (arXiv:2204.06043v1 [stat.CO]) http://arxiv.org/abs/2204.06043

Bayes factors and posterior estimation: Two sides of the very same coin. (arXiv:2204.06054v1 [math.ST]) http://arxiv.org/abs/2204.06054

Specifying Prior Distributions in Reliability Applications. (arXiv:2204.06099v1 [stat.ME]) http://arxiv.org/abs/2204.06099

SRMD: Sparse Random Mode Decomposition. (arXiv:2204.06108v1 [eess.SP]) http://arxiv.org/abs/2204.06108

Analysing and visualising bike sharing demand with outliers. (arXiv:2204.06112v1 [stat.AP]) http://arxiv.org/abs/2204.06112

Practical considerations for specifying a super learner. (arXiv:2204.06139v1 [stat.ME]) http://arxiv.org/abs/2204.06139

A quantum generative model for multi-dimensional time series using Hamiltonian learning. (arXiv:2204.06150v1 [quant-ph]) http://arxiv.org/abs/2204.06150

A Study on the Power Parameter in Power Prior Bayesian Analysis. (arXiv:2204.06165v1 [stat.ME]) http://arxiv.org/abs/2204.06165

Causal Discovery and Causal Learning for Fire Resistance Evaluation: Incorporating Domain Knowledge. (arXiv:2204.05311v1 [cs.LG]) http://arxiv.org/abs/2204.05311

Six Statistical Senses. (arXiv:2204.05313v1 [stat.OT]) http://arxiv.org/abs/2204.05313

Identifying the Dynamics of a System by Leveraging Data from Similar Systems. (arXiv:2204.05446v1 [eess.SY]) http://arxiv.org/abs/2204.05446

Light from the Darkness: Detecting Ultra-Diffuse Galaxies in the Perseus Cluster through Over-densities of Globular Clusters with a Log-Gaussian Cox Process. (arXiv:2204.05487v1 [astro-ph.GA]) http://arxiv.org/abs/2204.05487

Few-shot Learning with Noisy Labels. (arXiv:2204.05494v1 [cs.CV]) http://arxiv.org/abs/2204.05494

Computational Statistics and Data Science in the Twenty-first Century. (arXiv:2204.05530v1 [stat.OT]) http://arxiv.org/abs/2204.05530

Assessment of sub-sampling schemes for compressive nano-FTIR imaging. (arXiv:2204.05531v1 [physics.optics]) http://arxiv.org/abs/2204.05531

The Effects of Dynamic Learning and the Forgetting Process on an Optimizing Modelling for Full-Service Repair Pricing Contracts for Medical Devices. (arXiv:2204.05552v1 [stat.AP]) http://arxiv.org/abs/2204.05552

Hold-out estimates of prediction models for Markov processes. (arXiv:2204.05587v1 [math.ST]) http://arxiv.org/abs/2204.05587

Strategic model reduction by analysing model sloppiness: a case study in coral calcification. (arXiv:2204.05602v1 [stat.ME]) http://arxiv.org/abs/2204.05602

Assessing Statistical Disclosure Risk for Differentially Private, Hierarchical Count Data, with Application to the 2020 U.S. Decennial Census. (arXiv:2204.04253v1 [stat.ME]) http://arxiv.org/abs/2204.04253