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.

168,695 papers · 148 categories

Trend · papers per month

count % of corpus

6 results for “beta-mixing”

Generalization bounds for nonparametric regression with

β-

mixing samplesmath.ST

Paper extends nonparametric regression bounds for dependent $\beta$ -mixing samples.

problem Analyzing error in nonparametric regression with dependent data.

method Extends uniform deviation inequalities from independent to dependent

\beta

-mixing samples.

result Derives generalization bounds for nonparametric regression with dependent data.

nonparametric regression dependent data generalization bounds beta-mixing empirical process

2021-08-02abs ↗pdf ↗

Regime-Arrival Uncertainty in Generalization Bounds under Distribution Shiftcs.LG

Paper addresses uncertainty in model generalization under regime shifts.

problem Uncertainty in model generalization under regime changes.

method Proposes a framework to quantify and separate regime mismatch and sensitivity.

result Obtains exact decomposition and minimax lower bound for regime-aware models.

regime shifts generalization bounds distribution shifts Markov-switching beta-mixing

2026-06-01abs ↗pdf ↗

Random Forests for dependent datastat.ML

Random Forests adapted for dependent data using GLS.

problem Random Forests' local nature fails for dependent data.

method RF-GLS: GLS loss for correlated data.

result Consistency of RF-GLS under beta-mixing processes.

Random Forests GLS dependent data consistency beta-mixing

2020-07-30abs ↗pdf ↗

Statistical analysis of Wasserstein GANs with applications to time series forecastingmath.ST

The study provides statistical theory for WGANs in time series forecasting.

problem Statistical analysis of WGANs for time series forecasting.

method Statistical theory and upper bounds for excess Bayes risk, weak convergence, and confidence intervals.

result Developed confidence intervals for time series forecasting using WGANs.

Wasserstein GANs time series forecasting statistical theory Bayes risk weak convergence

2020-11-05abs ↗pdf ↗

Synthetic learner: model-free inference on treatments over timestat.ME

Understanding the effect of a particular treatment or a policy pertains to many areas of interest, ranging from political economics, marketing to healthcare. In this paper, we develop a non-parametric algorithm for detecting the effects of treatment over time in the context of Synthetic Controls. The method builds on c…

2019-04-02abs ↗pdf ↗

Inference on Time Series Nonparametric Conditional Moment Restrictions Using General Sievesstat.ML

Paper develops methods for inference on time series data using neural networks and sieves.

problem Inference on time series data with nonparametric conditional moment restrictions.

method GN-QLR based inference using general nonlinear sieves and multilayer neural networks.

result Optimally weighted GN-QLR statistic is asymptotically Chi-square distributed.

time series nonparametric conditional moment restrictions sieves neural networks

2022-12-31abs ↗pdf ↗