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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.

168,657 papers · 148 categories

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115230344459 · Jun 202019922001200920172026
48 results for non-standard analysis

Develops non-standard analysis for coherent risk estimation.

problem Estimating coherent risk measures in financial contexts.
method Non-standard analysis, hyperfinite representations, discrete Kusuoka formulae, plug-in asymptotics.
result Uniform almost sure consistency and asymptotic normality of spectral plug-in estimators.

This paper addresses GE estimation in non-standard settings using various resampling methods.

problem Biased GE estimates in non-standard settings like clustered data and concept drift.
method Tailored resampling methods for clustered, spatial, unequal sampling, concept drift, and hierarchically structured outcomes.
result Standard resampling methods often yield biased GE estimates in non-standard settings.

We show that the Kuratowski imbedding of a Riemannian manifold in L^\infty, exploited in Gromov's proof of the systolic inequality for essential manifolds, admits an approximation by a (1+C)-bi-Lipschitz (onto its image), finite-dimensional imbedding for every C>0. Our key tool is the first variation formula thought of…

2009-02-18abs ↗pdf ↗

Unified approach to non-standard classification tasks.

problem Non-standard classification tasks like semi-supervised, positive-unlabelled, multi-positive-unlabelled and noisy-label learning.
method Probabilistic, unified approach training a classifier to predict label-distributions, then inferring class-distributions.
result Unified model for various non-standard classification tasks.

Study non-standard bi-orders on punctured torus bundles, matching standard ones in key subgroups.

problem Investigate non-standard bi-orders on punctured torus bundles.
method Analyze various bi-orderings and compare them to standard ones formed by the lower central series.
result For every bi-ordering, the largest and second largest proper convex subgroups match those of a standard bi-ordering. Third largest subgroup matches if it exists.

The paper develops methods to identify stable associations across multiple studies.

problem Identifying stable associations across multiple studies with possible distributional shifts.
method Modeling heterogeneous multi-source data with multiple high-dimensional regressions and devising a novel sampling method for valid confidence intervals of maximin effects.
result Significant maximin effects indicate stable associations that can be generalized to target populations.

We accelerate Bayesian inference for neutrino physics experiments by 100-60x.

problem Complex posterior geometries in multi-dimensional parameter spaces.
method GPU acceleration, automatic differentiation, neural-network-guided reparameterization.
result Significant performance improvements in Bayesian inference for direct detection experiments.

Information that is stored in an encrypted format is, by definition, usually not amenable to statistical analysis or machine learning methods. In this paper we present detailed analysis of coordinate and accelerated gradient descent algorithms which are capable of fitting least squares and penalised ridge regression mo…

2017-03-02abs ↗pdf ↗

In this paper we define a new convergence called "asymptotically conic convergence" in which a smooth family of Riemannian metrics on a fixed compact manifold degenerate to a metric with isolated conic singularity. Our results are: convergence of the spectrum of the geometric Laplacians and uniform convergence of the c…

2007-01-13abs ↗pdf ↗

The linear slice of quasi-Fuchsian once-punctured torus groups is defined by fixing the complex length of some simple closed curve to be a fixed positive real number. It is known that the linear slice is a union of disks, and it always has one standard component containing Fuchsian groups. Komori and Yamashita proved t…

2014-12-29abs ↗pdf ↗

Factor analysis has proven to be a relevant tool for extracting tissue time-activity curves (TACs) in dynamic PET images, since it allows for an unsupervised analysis of the data. Reliable and interpretable results are possible only if considered with respect to suitable noise statistics. However, the noise in reconstr…

2018-07-30abs ↗pdf ↗

We study strict local martingales via h-transforms, a method which first appeared in Delbaen-Schachermayer. We show that strict local martingales arise whenever there is a consistent family of change of measures where the two measures are not equivalent to one another. Several old and new strict local martingales are i…

2007-11-07abs ↗pdf ↗

New geometric SDEs and discretizations on Riemannian manifolds with error bounds.

problem Modeling diffusion processes on Riemannian manifolds with geometric SDEs.
method Introduced a new construction of geometric SDEs and provided non-asymptotic error bounds.
result First non-asymptotic error bound for geometric Euler-Murayama discretization.

Study parabolicity of Riemann surfaces via Fenchel-Nielsen parameters.

problem Determine conditions for a Riemann surface to be of parabolic type.
method Use Fenchel-Nielsen parameters and non-standard half-collars to study parabolicity.
result Obtain sufficient conditions for parabolicity in terms of Fenchel-Nielsen parameters.

Dan Reznik found, by computer experimentation, a number of conserved quantities associated with periodic billiard trajectories in ellipses. We prove some of his observations using a non-standard generating function for the billiard ball map. In this way, we also obtain some identities valid for all smooth convex billia…

2020-01-23abs ↗pdf ↗

Study of twistor spaces and minitwistor spaces for ALE gravitational instantons.

problem Characterizing the geometry of ALE gravitational instantons of type AmoddA_{ m odd}.
method Analyzing the base locus of linear systems and using distinguished twistor lines.
result Explicit determination of images of certain twistor lines and description of real minitwistor lines.

Paper proposes a novel method to improve matrix completion with median loss for large datasets.

problem Matrix completion with absolute deviation loss for large-scale data.
method Proposes a refinement step using pseudo data to improve inefficient estimators of median matrix completion.
result Turns inefficient estimators into a rate (near-)optimal matrix completion procedure.

Generalized differential geometry uses infinitesimals to solve singularities in differential equations.

problem Understanding differential equations with singularities and nonlinearities.
method Introducing infinitesimals and infinities to handle singularities and nonlinearities rigorously.
result A Riemannian manifold can be embedded into a generalized manifold where singularities vanish and products of nonlinearities make sense.

A famous result of Bennequin states that for any braid representative of the unknot the Bennequin number is negative. We will extend this result to all n-trivial closed n-braids. This is a class of infinitely many knots closed under taking mirror images. Our proof relies on a non-standard parametrization of the Homfly …

2000-10-27abs ↗pdf ↗

New econometric results for financial duration models under varying tail behaviors.

problem Estimation and inference challenges in financial durations models with random event counts.
method Analysis of likelihood estimators for ACD models, focusing on tail behavior and stationarity.
result Asymptotic normality breaks down for tail indices smaller than one, leading to mixed Gaussian estimators with non-standard rates of convergence.

We show that the members of a large class of unbalanced four-manifold trisections are standard, and we present a family of trisections that is likely to include non-standard trisections of the four-sphere. As an application, we prove a stable version of the Generalized Property R Conjecture for cc-component links with…

2015-07-23abs ↗pdf ↗

Unified error analysis for low-rank approximation improves data assimilation performance.

problem Analyzing the error in low-rank approximation methods for data assimilation.
method Unified stochastic analysis framework for Frobenius norm error bounds on centered and non-standard Gaussian matrices.
result Unified bounds provide clearer interpretations and enable better practical choices for covariance matrices.

Unified formula for optimal portfolio under piecewise hyperbolic risk aversion.

problem Optimizing portfolios with piecewise hyperbolic risk aversion utilities.
method Derive a unified closed-form formula for the optimal portfolio.
result Unified formula reflects risk aversion behaviors and risk-taking behaviors.

New methods show quasinormal modes can be defined using various stationary Killing vectors.

problem Proving asymptotic expansions for wave equations in Kerr-de Sitter spacetimes.
method New definition of quasinormal modes using different stationary Killing vectors.
result Horizon Killing vector fields work for analysis, simplifying the problem.

Study optimizes portfolio liquidation strategies with complex market impacts.

problem Optimizing portfolio liquidation with transient market impacts and self-exciting order flow.
method Mean-field control problem with semimartingale strategies, passing to continuous-time limit, and solving Riccati equations.
result Existence of optimal strategy with jumps only at start and end of trading period.

In this technical paper, we present a new formulation of higher parallel transport in strict higher gauge theory required for the rigorous construction of Wilson lines and surfaces. Our approach is based on an original notion of Lie crossed module cocycle and cocycle 1- and 2-gauge transformation with a non standard do…

2014-10-03abs ↗pdf ↗

The standard actions of finite groups on spheres S^d are linear actions, i.e. by finite subgroups of the orthogonal group O(d+1). We prove that, in each dimension d>5, there is a finite group G which admits a faithful, topological action on a sphere S^d but is not isomorphic to a subgroup of O(d+1). The situation remai…

2016-02-15abs ↗pdf ↗

New framework for DNN training guarantees convergence to global minimum.

problem Training deep neural networks to converge to global minimum.
method Reformulated minimization problem with recursive algorithmic framework, using bounded style assumptions.
result Convergence to an ε-(global) minimum with O(1/ε^3) gradient computations.

We construct, somewhat non-standard, Legendrian surgery diagrams for some Stein fillable contact structures on some plumbing trees of circle bundles over spheres. We then show how to put such a surgery diagram on the pages of an open book for S3,S^3, with relatively low genus. Thus we produce open books with low genus p…

2006-07-14abs ↗pdf ↗

The paper solves the problem of fitting an ellipsoid to random points efficiently.

problem Finding an ellipsoid that passes through random Gaussian points.
method Constructing a fitting ellipsoid using a decomposition of a random matrix and graph matrix theory.
result The ellipsoid fitting problem transitions from feasible to infeasible at a sharp threshold of nd2/4n \sim d^2/4.

Study calculates Mather β-function for ellipses and applies it to rigidity problems.

problem Calculating Mather β-function for ellipses and its application to rigidity.
method Used non-standard generating function of billiard problem to derive Mather β-function for ellipses. Applied to rigidity problems.
result Explicit formula for Mather β-function for ellipses and its application to rigidity.

We study holonomy algebras generated by an algebraic element of the Clifford algebra, or equivalently, the holonomy algebras of certain spin connections in flat space. We provide series of examples in arbitrary dimensions and establish general properties of the holonomy algebras under some mild conditions on the genera…

2006-08-21abs ↗pdf ↗