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HLXiON δ Ω Intent Σ Logic Ψ Synth Π Reason Γ Memory Processing: stat.CO
iON AI Synthesis
The search results for "stat.CO" reveal a range of studies focused on complex statistical and control problems. The first study formulates option market making as a risk-sensitive control problem, integrating execution, hedging, and arbitrage-free conditions using a differentiable eSSVI layer. Another study examines EEG-fMRI data to map dynamic brain connectivity, providing insights into cognitive states. Additionally, the analysis of income distribution in the USA uses generalized Tsallis statistics to describe stratification and inequity, while other research explores quantum phenomena and force equations in physics.
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arxiv.org
Risk-Sensitive Option Market Making with Arbitrage-Free eSSVI Surfaces: A Constrained RL and Stochastic Control Bridge

We formulate option market making as a constrained, risk-sensitive control problem that unifies execution, hedging, and arbitrage-free implied-volatility surfaces inside a single learning loop. A fully differentiable eSSVI layer enforces static no-arbitrage conditions (butterfly and calendar) while …

q-fin.TR
arxiv.org
Dynamic EEG-fMRI mapping: Revealing the relationship between brain connectivity and cognitive state

This study investigated the dynamic connectivity patterns between EEG and fMRI modalities, contributing to our understanding of brain network interactions. By employing a comprehensive approach that integrated static and dynamic analyses of EEG-fMRI data, we were able to uncover distinct connectivit…

cs.LG cs.AI
arxiv.org
Unobservable Potentials to Explain a Quantum Eraser and a Delayed-Choice Experiment

We present a new explanation for a quantum eraser. Mathematical description of the traditional explanation needs quantum-superposition states. However, the phenomenon can be explained without quantum-superposition states by introducing unobservable potentials which can be identified as an indefinite…

physics.gen-ph
arxiv.org
An statistical analysis of stratification and inequity in the income distribution

The analysis of the USA 2001 income distribution shows that it can be described by at least two main components, which obey the generalized Tsallis statistics with different values of the q parameter. Theoretical calculations using the gas kinetics model with a distributed saving propensity factor a…

q-fin.GN q-fin.ST
arxiv.org
Force Equation That Describes the Quantum States of a Relativistic Spinless Particle

Newton's second law may be used to obtain a wave equation, which reduces to Schrodinger's equation in the nonrelativistic limit and for a conservative force.…

physics.class-ph physics.ed-ph
arxiv.org
Report on the current state of the French DMLs

This is a survey of the existing digital collections of French mathematical literature, run by non-profit organizations. This includes research monographs, serials, proceedings, Ph. D. theses, collected works, books and personal websites.…

cs.DL
semanticscholar.org
Towards Optimal pH of the Skin and Topical Formulations: From the Current State of the Art to Tailored Products

Acidic pH of the skin surface has been recognized as a regulating factor for the maintenance of the stratum corneum homeostasis and barrier permeability. The most important functions of acidic pH seem to be related to the keratinocyte differentiation process, the formation and function of epidermal …

arxiv.org
Non-extensive Trends in the Size Distribution of Coding and Non-coding DNA Sequences in the Human Genome

We study the primary DNA structure of four of the most completely sequenced human chromosomes (including chromosome 19 which is the most dense in coding), using Non-extensive Statistics. We show that the exponents governing the decay of the coding size distributions vary between $5.2 \le r \le 5.7$ …

q-bio.GN
arxiv.org
Statistical Indicators of Collective Behavior and Functional Clusters in Gene Networks of Yeast

We analyze gene expression time-series data of yeast S. cerevisiae measured along two full cell-cycles. We quantify these data by using q-exponentials, gene expression ranking and a temporal mean-variance analysis. We construct gene interaction networks based on correlation coefficients and study th…

q-bio.GN