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#stochastic-processes News & Analysis

3 articles tagged with #stochastic-processes. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

3 articles
AINeutralarXiv – CS AI · Jun 236/10
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Flow Annealing Posterior Sampling for Function-Space Regression and Inverse Problems

Researchers introduce Flow Annealing Posterior Sampling (FAPS), a new function-space framework that unifies stochastic-process regression with PDE inverse problems using pretrained flow-matching priors. The method enables probabilistic inference from sparse observations while maintaining computational efficiency and accurate uncertainty quantification, outperforming existing baselines.

AINeutralarXiv – CS AI · Jun 46/10
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From Ticks to Flows: Dynamics of Neural Reinforcement Learning in Continuous Environments

Researchers present a theoretical framework for deep reinforcement learning in continuous environments using continuous-time stochastic processes and stochastic control theory. The work establishes a two time-scale model for actor-critic algorithms with neural networks, deriving equations that describe how state distributions evolve during training in the infinite width limit.

GeneralNeutralarXiv – CS AI · Jun 232/10
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Brownian Motion with a Pulse: A Biostatistician's Guide to Diffusions, Bridges, Functional PCA, and First-Passage Models

This arXiv preprint is a biostatistics tutorial on Brownian motion and related stochastic processes, covering mathematical foundations and applied biomedical use cases. The paper connects rigorous probability theory to practical modeling decisions in longitudinal data, degradation analysis, and clinical monitoring—topics unrelated to cryptocurrency or financial markets.