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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.

169,341 papers · 148 categories

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48 results for Poisson Limitation

Survey on Nambu-Poisson structures in infinite dimensions.

problem Generalization of Poisson and Nambu-Poisson structures in infinite dimensions.
method Study properties of associated characteristic distribution and projective/direct limits.
result Properties and limits of Nambu-Poisson structures in convenient setting.

The paper extends Nambu-Poisson structures to infinite dimensions.

problem Extending Nambu-Poisson structures to infinite dimensional settings.
method Adapting finite dimensional Nambu-Poisson structures to a convenient manifold setting.
result Classical results in finite dimensions can be extended to infinite dimensions for partial Nambu structures.

Study shows Merton model limits to Poisson process with log-normal intensity, improving default portfolio prediction.

problem Improving prediction of default portfolios using complex models.
method Applying Merton model with log-normal intensity function to Poisson process, discussing temporal correlation effects.
result Power decay model provides better generalization for long-term default portfolio data.

We introduce a new kind of groupoid--a pseudo étale groupoid, which provides many interesting examples of noncommutative Poisson algebras as defined by Block, Getzler, and Xu. Following the idea that symplectic and Poisson geometries are the semiclassical limits of the corresponding quantum geometries, we quantize thes…

2004-05-19abs ↗pdf ↗

New methods improve estimation of nonhomogeneous Poisson processes from limited data.

problem Estimating nonhomogeneous Poisson processes from limited data.
method Formulated as a learning generalization problem, proposed adaptive and data-driven binning methods.
result Improved estimation of nonhomogeneous Poisson processes with limited data.

We exhibit a Poisson module restoring a twisted Poincare duality between Poisson homology and cohomology for the polynomial algebra R=C[X_1,...,X_n] endowed with Poisson bracket arising from a uniparametrised quantum affine space. This Poisson module is obtained as the semiclassical limit of the dualising bimodule for …

2006-09-14abs ↗pdf ↗

This chapter is an attempt to present a mathematical theory of compound fractional Poisson processes. The chapter begins with the characterization of a well-known Lévy process: The compound Poisson process. The semi-Markov extension of the compound Poisson process naturally leads to the compound fractional Poisson proc…

2011-03-03abs ↗pdf ↗

Abstract proposes a new categorical approach to quantization of Poisson algebras.

problem Quantization of Poisson algebras.
method Defining quantization categories as subcategories of R-module categories with classical limits.
result Categories of strict deformation quantization, prequantization, and matrix regularization are equivalent, while Poisson enveloping algebra is not.

Study models market volatility with persistent and temporary impacts.

problem Microstructure of rough volatility models driven by Poisson measures.
method Existence and uniqueness of solutions for stochastic path-dependent Volterra equations.
result Volatility process converges to fractional Heston model with spikes.

Study of Poisson homeomorphisms and rigidity of coisotropic submanifolds.

problem Rigidity and non-rigidity phenomena in Poisson geometry.
method Study of Poisson homeomorphisms, use of clean intersection points, and analysis of characteristic partitions.
result Poisson homeomorphisms preserve symplectic foliations and coisotropic submanifolds are flexible.

New Bayesian method for spectral deconvolution with Poisson noise.

problem Estimating physical model parameters from noisy spectral data.
method Bayesian measurement framework applied to Poisson noise model.
result Clarifies relationship between measurement time and estimation limits.

New Poisson bracket connects to logarithmic manifolds.

problem Constructing a new Poisson bracket compatible with existing structures.
method Developed a new local Poisson bracket compatible with Adler-Gelfand-Dickey brackets, leading to a dispersionless limit.
result Leading term defines a logarithmic Dubrovin-Frobenius manifold.

Study on critical faces convergence in a Poisson point process.

problem Convergence of point processes associated with critical faces in a Čech filtration.
method Established convergence in M0\mathcal M_0-topology for critical faces above vanishing threshold.
result Obtained limit theorems for positive and negative critical faces.

We prove non-metricity in a continuum limit of randomly-distributed defects.

problem Emergence of non-metricity in continuum limit of point defects.
method Homogenization theorem applied to isotropically-distributed point defects modeled as a weighted Poisson point process.
result Non-metricity tensor emerges in the continuum limit of point defects.

Paper connects Stokes phenomena to quantum groups and Poisson-Lie groups.

problem Analyse Stokes phenomena in Poisson-Lie groups and quantum groups.
method Use Ug-valued Stokes phenomena to construct quantum group U_hg and relate it to Poisson-Lie group G*.
result Show that Ug-valued Stokes phenomena can be obtained as a semiclassical limit of the KZ associator.

HCPF improves recommendation systems by decoupling sparsity and response models.

problem Collaborative filtering with extreme sparsity and complex response types.
method Introduces HCPF with a Gamma-Poisson structure, decoupling sparsity and response models.
result HCPF outperforms HPF in capturing sparsity and response relationships.

Study General Relativity using field theories and Poisson brackets.

problem Defining a Poisson bracket structure on solution spaces of field theories.
method Applying Poisson bracket structure to first order Hamiltonian field theories, focusing on General Relativity as a gauge theory.
result Established a Poisson bracket structure for General Relativity.

Paper bridges quantum and classical mechanics for open systems.

problem Quantum open systems with bi-Lindblad structure.
method Develops a bridge between bi-Hamiltonian structures and GKSL formalism, introducing contact-compatible Lindblad generators.
result Provides a mathematical mechanism for semiclassical limit of quantum open systems.

Neural networks trained with actor-critic algorithms converge to ODEs under weak convergence analysis.

problem Challenges in convergence analysis due to changing data distributions in online learning.
method Geometric ergodicity of data samples, Poisson equation, weak convergence techniques.
result Actor and critic networks converge to solutions of ODEs with random initial conditions.

We develop a Bayesian Poisson matrix factorization model for forming recommendations from sparse user behavior data. These data are large user/item matrices where each user has provided feedback on only a small subset of items, either explicitly (e.g., through star ratings) or implicitly (e.g., through views or purchas…

2013-11-07abs ↗pdf ↗

Let (E,D,P) be a flat vector bundle with a parabolic structure over a punctured Riemann surface, (M,g). We consider a deformation of the harmonic metric equation which we call the Poisson metric equation. This equation arises naturally as the dimension reduction of the Hermitian-Yang-Mills equation for holomorphic vect…

2014-03-30abs ↗pdf ↗

A scalable framework for inference in continuous Cox processes using Gaussian processes.

problem Inference in inhomogeneous Poisson processes with continuous intensity functions.
method Structured variational approximation of likelihood through augmentation with superposition of Poisson processes.
result Structured variational approximation captures dependencies across variables and outperforms mean-field methods and sampling schemes.

The paper solves isomonodromy problems and describes limits of Stokes matrices.

problem Solving isomonodromy problems and describing limits of Stokes matrices.
method Analyzes the boundary and monodromy problems of isomonodromy equations, derives explicit expressions for Stokes matrices, and describes limits of Stokes matrices as irregular data degenerates.
result Derives explicit expressions for Stokes matrices and describes limits of Stokes matrices as irregular data degenerates.

New method calculates Ricci curvature from distances between weighted volumes.

problem Calculating Ricci curvature for weighted Riemannian manifolds.
method Asymptotic retrieval of generalized Ricci tensor from scaled metric derivatives of Wasserstein 1-distances.
result Limiting coarse curvature of random graphs converges to generalized Ricci tensor.

Efficiently infers Poisson process intensity using Gaussian process with sigmoid link.

problem Estimating intensity of inhomogeneous Poisson processes efficiently.
method Variational free-form mean field optimization and sparse Laplace's method.
result Method is one order of magnitude faster than exact inference and competitive with quadratic link function models.

In this paper we study elliptic PDEs on compact Gromov-Hausdorff limit spaces of Riemannian manifolds with lower Ricci curvature bounds. In particular we establish continuities of geometric quantities, which include solutions of Poisson's equations, eigenvalues of Schrodinger operators, generalized Yamabe constants and…

2014-10-13abs ↗pdf ↗

dPF models dynamic user-item preferences using Kalman filters and Poisson distributions.

problem Static latent factors limit recommender system capabilities for evolving user interests and item popularity.
method dPF uses a Kalman filter to model time-evolving latent factors and Poisson distributions for actions.
result dPF outperforms static and dynamic models on 10 years of arXiv.org user click data.

A holomorphic Poisson structure induces a deformation of the complex structure as Hitchin's generalized geometry. Its associated cohomology naturally appears as the limit of a spectral sequence of a double complex. The first sheet of this spectral sequence is the Dolbeault cohomology with coefficients in the exterior a…

2014-08-03abs ↗pdf ↗

PGBN infers multilayer representations of count vectors using Gibbs sampling.

problem Inferring multilayer representations of high-dimensional count vectors.
method PGBN factorizes layers into product of weight matrices and hidden units, trained with Gibbs sampler.
result PGBN can add more layers to improve performance over Poisson factor analysis.

A new kernel method improves Poisson process intensity estimation.

problem Estimating intensity functions of inhomogeneous Poisson processes.
method Kernel method-based intensity estimator using least squares loss.
result K2^2IE achieves comparable predictive performance with improved efficiency.

We construct a general stochastic process and prove weak convergence results. It is scaled in space and through the parameters of its distribution. We show that our simplified scaling is equivalent to time scaling used frequently. The process is constructed as an integral with respect to a Poisson random measure which …

2011-06-30abs ↗pdf ↗

The Brownian bridge serves as a physics-informed prior for solving the Poisson equation.

problem Reconstructing physical fields from limited and noisy data with known governing equations.
method Formalizing inverse problems via Bayesian inference in function spaces using a Brownian bridge Gaussian process.
result The Brownian bridge Gaussian process can be viewed as a physics-constrained prior for the Poisson equation, allowing for a fully Bayesian framework.

Develops data subsampling techniques for Poisson regression models.

problem Efficiently approximating Poisson regression loss functions with coresets.
method Introduces coresets for Poisson regression with novel complexity parameters and domain shifting.
result Sublinear coresets exist for Poisson regression with 1±ε1\pm\varepsilon approximation guarantee.

The paper explores statistical limits for detecting correlation in tree structures.

problem Detecting correlation between two tree structures.
method Investigates conditions for existence of one-sided tests in the limit of large tree depth.
result Identifies a phase transition at correlation parameter s=αs = \sqrt{α}, where tests exist for s>αs > \sqrt{α}.

Develops a trading strategy for optimal liquidation in illiquid markets.

problem Optimal liquidation in illiquid markets with different market microstructures.
method Formulated as a discrete-time Markov Decision Process with a PDMP state process, modeling price impact as a linear function of a self-exciting dynamic process.
result An optimal trading strategy depends on market microstructure characteristics, with specific actions for different order sizes.