A preprint reports that a partially collapsed particle-learning sampler mixed well in synthetic models and showed better autocorrelation-based mixing than JAGS in one Norway hospitalization analysis, with the authors warning against broad generalization.
In one 10-variable quarterly exercise, non-centred stochastic volatility scored higher on density forecasts than centred stochastic volatility, but point accuracy was nearly unchanged.
A theoretical study finds that characteristic polynomials and trace statistics of self-normalized random matrices settle into a family of Poisson-type limits, with a Gaussian form at the boundary.
A theoretical analysis finds that exact calibration does not make two-sided p-values unique. Symmetry forces several methods to agree, while numerical examples show large differences in asymmetric models.
A new mathematical preprint shows that the Fourier coefficients of the canonical critical Gaussian multiplicative chaos on the circle tend to zero at high frequencies almost surely. The proof uses auxiliary random fields, concentration estimates and a covariance correction, but it does not establish a decay rate for the original coefficients.
A theoretical analysis links a leading cutoff proportion to an exact integer threshold by tracking how expected payoffs change from one candidate to the next.
A mathematical filtering framework produced lower uncertainty and lower threshold probabilities in a simulated learning trajectory, but it has not been validated with child data.
In a short laboratory task, pairs with better-than-expected joint performance had more aligned predictions of their own actions and relied less on sensory evidence.
In a laboratory experiment, all six participants showed a similar rise in priming as the gap between a brief arrow prime and its mask grew, while awareness varied widely. A direct comparison found a conditional advantage for the indirect task at short intervals in three participants.
A retrospective comparison of 125 patients linked oblique-viewing endoscopes to a higher rate of one-piece resection during papillectomy. Procedures were longer, while the study reported no statistically significant differences in adverse events or postoperative hospitalization.
SCAN is designed to detect multiple distributional shifts in long, serially dependent time series. Its strongest reported results came on longer simulations, while ARFIMA long-memory scenarios produced less favorable and more threshold-sensitive results.
A methods study found higher reported sampling efficiency for BPS and Boomerang in RI-CLPM simulations, but OMRF comparisons were mixed and one posterior gap remained unresolved.
A new methods preprint describes a model that groups observations, estimates cluster-specific relationships and flags unusual cases while handling missing responses and covariates.
A theorem-based analysis finds that a noising-denoising construction can approach a dynamic Schrödinger bridge at rates tied to the reference diffusion's spectrum.
A statistical preprint adds spatial information to factor analysis and tests the approach on simulations, one brain-tissue section and African vegetation records.
A preprint proposes a Bayesian quantile-regression model that separates regular observations from extreme ones. Its theory and selected tests point to lower sensitivity to outliers, while a calibration exercise found that narrower intervals can lose coverage when the likelihood is misspecified.
An arXiv preprint gives a formal designability guarantee for a narrow class of RNA secondary structures, while stressing that the result is confined to a simplified pairing model.
A mathematical preprint finds that strong decay of long connections is sufficient for recurrence in specified one- and two-dimensional graph models, but leaves phase boundaries unresolved.
A statistical methods preprint reports a one-step log-quantile calculation, low variability and nearly no bias in selected simulations, with model-specific results in Google returns and hurricane-loss data.
A preprint reports that fixed OBABO step size and friction cannot guarantee uniform ballistic cold-start mixing in total variation across the full smooth strongly convex class.
An arXiv preprint reports that BERGM Elastic Net had the lowest mean squared errors among the methods compared in a 50-replication simulation. It also had the lowest false-positive and false-discovery rates, but a lower true-positive rate at the selected reporting rule.
A mathematical preprint reports a positive sampling-noise baseline and suggests that widespread small shifts may be easier to detect than low-rank changes in modeled settings.
A methods preprint introduces a multiple-quantile test for structural changes in multivariate volatility. In simulations it stayed near its 5% target under the null, while an application to weekly Fama-French factor returns rejected covariance stability across four periods.
A mathematical preprint gives finite-sample Gaussian and bootstrap bounds for U-statistic norms, with dimension-explicit results and a minimax rate for dense Kendall’s tau alternatives.
A statistical methods preprint reports a theoretical link between observation frequency and prediction rates in scalar-on-function and function-on-function linear regression. It pairs a pooling-ridge estimator with matching bounds and tests the approach in simulations, wheat spectra and child-growth data.
A mathematical preprint derives upper bounds for gradient-trained, over-parametrized neural-network regression on exponentially β-mixing data and replaces ambient dimension with manifold dimension under an exact support condition.
A preprint models Opportunity Zone designation and neighborhood spillovers in California, reporting positive estimated contrasts for designated tracts but uncertain results as policy expands.
A new method combines independent frequency simulation with subsampling to estimate dependence that the first stage misses. Its full consistency is theoretical and conditional on stated assumptions, while simulations found close agreement with reported exact values in three synthetic models.
A modeling paper combining theory, simulations and regional onset reconstructions says pooled mobility can retain aggregate invasion signals while making transport-mode and route attribution harder.
A mathematical analysis of mean-field coupled maps reports finite-time control of empirical measures, propagation of chaos and Gaussian fluctuation limits under stated assumptions.
A theoretical preprint maps uncertainty about discrete outcomes into uncertainty about partially identified model parameters, then tests the approach in simulation.
A new econometrics preprint reports that K-averaging can deliver the fastest theoretical convergence, while coefficient differences and weak trends limit the advantage in applications.
An arXiv preprint presents a closed-form random-rotation test for autocorrelation. Its strongest reported results came at lag 3 and across selected lags, while moving-average and heavy-tail tests exposed important limits.
A proposed deep-neural-network method explicitly models observed covariates, improving recovery of image-related effects in simulations and restoring much of an age-confounded MRI model’s performance.
A mathematical analysis of Laplace-noised observations finds that privacy and recovery pull in opposite directions, with a sufficient low-noise consistency condition and an impossibility result at square-root-of-sample-size noise.