arXiv Statistics @arxiv_stats@qoto.org

A novel two-stage parameter estimation framework integrating Approximate Bayesian Computation and Machine Learning: The ABC-RF-rejection algorithm https://arxiv.org/abs/2507.02072 #stat.ME

Adaptive Iterative Soft-Thresholding Algorithm with the Median Absolute Deviation https://arxiv.org/abs/2507.02084 #stat.ML #eess.SP #cs.LG

BACTA-GPT: An AI-Based Bayesian Adaptive Clinical Trial Architect https://arxiv.org/abs/2507.02130 #stat.AP #stat.OT

Hybrid least squares for learning functions from highly noisy data https://arxiv.org/abs/2507.02215 #stat.ML #math.NA #cs.LG #cs.NA

A Variance Decomposition Approach to Inconclusives in Forensic Black Box Studies https://arxiv.org/abs/2507.02240 #stat.AP

Transfer Learning for Matrix Completion https://arxiv.org/abs/2507.02248 #stat.ML #cs.LG

It's Hard to Be Normal: The Impact of Noise on Structure-agnostic Estimation https://arxiv.org/abs/2507.02275 #stat.ML #econ.EM #math.ST #stat.ME #stat.TH #cs.LG

Fractional differential entropy and its application in modeling one-dimensional flow velocity https://arxiv.org/abs/2507.02323 #math.ST #stat.TH

Sparse Gaussian Processes: Structured Approximations and Power-EP Revisited https://arxiv.org/abs/2507.02377 #stat.ML #cs.LG

Dealing with separation problem in hidden Markov models with covariates based on a penalized maximum likelihood approach https://arxiv.org/abs/2507.02425 #stat.ME

Targeted tuning of random forests for quantile estimation and prediction intervals https://arxiv.org/abs/2507.01430 #stat.ME #stat.AP #stat.ML

Nonparametric learning of heterogeneous graphical model on network-linked data https://arxiv.org/abs/2507.01473 #stat.ME #stat.ML

Root/Additional Metric (RoAM) framework: a guide for goal-centred metric construction https://arxiv.org/abs/2507.01526 #stat.ME

A new algorithm for sampling parameters in a structured correlation matrix with application to estimating optimal combinations of muscles to quantify progression in Duchenne muscular dystrophy https://arxiv.org/abs/2506.21719 #stat.ME

Dynamic Bayesian Item Response Model with Decomposition (D-BIRD): Modeling Cohort and Individual Learning Over Time https://arxiv.org/abs/2506.21723 #stat.AP #stat.ME #cs.CY

Monte Carlo and quasi-Monte Carlo integration for likelihood functions https://arxiv.org/abs/2506.21733 #math.ST #stat.ME #stat.ML #stat.TH

Modification of a Numerical Method Using FIR Filters in a Time-dependent SIR Model for COVID-19 https://arxiv.org/abs/2506.21739 #stat.ML #math.OC #cs.LG

Critically-Damped Higher-Order Langevin Dynamics https://arxiv.org/abs/2506.21741 #stat.ML #cs.LG

TADA: Improved Diffusion Sampling with Training-free Augmented Dynamics https://arxiv.org/abs/2506.21757 #stat.ML #cs.LG

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations https://arxiv.org/abs/2506.21776 #stat.CO