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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.

168,878 papers · 148 categories

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10 results for p-variation

Investigates tempered stable distributions and processes, including density transformations and parameter estimation.

problem Understanding the properties and applications of tempered stable distributions and processes.
method Analysis of limit distributions, parameter estimation, density transformations, and computation of pp-variation indices.
result Computed pp-variation indices for tempered stable processes and discussed exponential stock models driven by these processes.

Bitcoin volatility shows multifractal structure, contradicting rough volatility models.

problem Applying rough volatility models to Bitcoin volatility data.
method Normalised p-variation framework, multifractal Detrended Fluctuation Analysis, log-log moment scaling, wavelet leaders.
result Bitcoin volatility exhibits multifractal structure, violating rough volatility model assumptions.

Unified approach to stochastic control, filtering, and stopping using rough paths.

problem Addressing gaps in classical problems of stochastic control, filtering, and stopping.
method Combining rough path theory with controlled rough paths to provide a pathwise deterministic framework.
result Established rigorous connection between candidate solutions and Hamilton-Jacobi-Bellman equation.

In this article, we propose the notion of the general pp-affine capacity and prove some basic properties for the general pp-affine capacity, such as affine invariance and monotonicity. The newly proposed general pp-affine capacity is compared with several classical geometric quantities, e.g., the volume, the pp-var…

2017-05-21abs ↗pdf ↗

We consider unsupervised estimation of mixtures of discrete graphical models, where the class variable corresponding to the mixture components is hidden and each mixture component over the observed variables can have a potentially different Markov graph structure and parameters. We propose a novel approach for estimati…

2012-03-04abs ↗pdf ↗

Paper analyzes VI for location-scale families, proving robustness guarantees for mean and correlation recovery.

problem Misspecification in VI for intractable target densities.
method Variational inference on location-scale families with symmetries.
result VI recovers mean and correlation matrix under specific symmetries.