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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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118236354472 · Jun 202019922001200920172026
48 results for GLS estimator

Study GLS estimator properties in multivariate regression with heteroskedastic and autocorrelated errors.

problem Asymptotic properties of GLS estimator in multivariate regression with specific error structures.
method Derive Wald statistics for linear restrictions and assess their performance.
result Wald statistics remain robust to heteroskedasticity and autocorrelation.

GL-LowPopArt improves minimax-optimal estimation for trace regression.

problem Minimizing estimation error in generalized low-rank trace regression.
method Two-stage approach: nuclear norm regularization followed by matrix Catoni estimation.
result Achieves instance-wise optimal error bounds up to condition number.

We show Vector Autoregressive Moving Average models with scalar Moving Average components could be estimated by generalized least square (GLS) for each fixed moving average polynomial. The conditional variance of the GLS model is the concentrated covariant matrix of the moving average process. Under GLS the likelihood …

2019-09-01abs ↗pdf ↗

In this paper, we consider the Graphical Lasso (GL), a popular optimization problem for learning the sparse representations of high-dimensional datasets, which is well-known to be computationally expensive for large-scale problems. Recently, we have shown that the sparsity pattern of the optimal solution of GL is equiv…

2017-11-24abs ↗pdf ↗

New approach improves domain adaptation with label shift assumptions.

problem Improving domain adaptation when label distributions differ between source and target domains.
method Proposes generalized label shift (GLSGLS) and modifies three DA algorithms (JAN, DANN, CDAN) to handle label distribution mismatches.
result Modified DA algorithms outperform base versions, especially with large label distribution mismatches.

The graphical lasso \citep{FHT2007a} is an algorithm for learning the structure in an undirected Gaussian graphical model, using 1\ell_1 regularization to control the number of zeros in the precision matrix ${\BΘ}={\BΣ}^{-1}$ \citep{BGA2008,yuan_lin_07}. The {\texttt R} package \GL\ \citep{FHT2007a} is popular, fast, …

2011-11-23abs ↗pdf ↗

We prove the Livšic Theorem for arbitrary GL(m,R)GL(m,\mathbb R) cocycles. We consider a hyperbolic dynamical system f:XXf : X \to X and a Hölder continuous function A:XGL(m,R)A: X \to GL(m,\mathbb R). We show that if AA has trivial periodic data, i.e. A(fn1p)...A(fp)A(p)=IdA(f^{n-1} p) ... A(fp) A(p) = Id for each periodic point p=fnpp=f^n p, then there …

2008-08-03abs ↗pdf ↗

We study five dimensional geometries associated with the 5-dimensional irreducible representation of GL(2,R). These are special Weyl geometries in signature (3,2) having the structure group reduced from CO(3,2) to GL(2,R). The reduction is obtained by means of a conformal class of totally symmetric 3-tensors. Among all…

2007-10-01abs ↗pdf ↗

We study GL(2)GL(2)-structures on differential manifolds. The structures play a fundamental role in the geometric theory of ordinary differential equations. We prove that any GL(2)GL(2)-structure on an even dimensional manifold give rise to a certain almost-complex structure on a bundle over the original manifold. Further, w…

2019-10-28abs ↗pdf ↗

Researchers compute gl2\mathfrak{gl}_2-skein modules for lens spaces.

problem Computing gl2\mathfrak{gl}_2-skein modules for lens spaces.
method Action of gl2\mathfrak{gl}_2-skein algebra on solid torus's gl2\mathfrak{gl}_2-skein module.
result Lens spaces' gl2\mathfrak{gl}_2-skein modules span by specific elements.

Study on GL(2) geometries on complex manifolds, focusing on Kähler-Einstein and Fano manifolds.

problem Characterizing compact complex manifolds with holomorphic GL(2)-geometry.
method Analyzing Kähler-Einstein and Fano manifolds, using GL(2) and SL(2) geometries.
result Only compact Kähler-Einstein manifolds with holomorphic GL(2)-geometry are covered by compact complex tori, three dimensional quadric, or three dimensional Lie ball.

We construct a canonical frame for an arbitrary Gl(2)-structure thus solving the equivalence problem for Gl(2)-structures. Our treatment includes also a problem of contact equivalence of ordinary differential equations and applies to certain classes of vector distributions. Additionally we characterise Gl(2)-structures…

2010-12-03abs ↗pdf ↗

Estimates causal effects in Gaussian Linear SCMs with finite data.

problem Estimating causal effects from observational data with latent confounders.
method Centralized Gaussian Linear SCMs (CGL-SCMs) and EM-based estimation algorithm.
result Learned CGL-SCM parameters accurately recover causal distributions from finite observational samples.

The study compares on-chain option prices with a model and finds significant differences.

problem Measuring and comparing on-chain option prices with a model-based benchmark.
method Used a two-regime MS-AR-(GJR)-GARCH model to estimate volatility and GLS to compare prices.
result On-chain option prices are significantly higher than model-based benchmarks, especially for call options.

This paper studies gl-regular Nijenhuis operators and their properties.

problem Characterizing and understanding gl-regular Nijenhuis operators.
method Analyzing the properties of gl-regular Nijenhuis operators and proving their existence in a coordinate system.
result Discoveries of normal forms for singular points and topological restrictions for gl-regular Nijenhuis operators on closed surfaces.

The purpose of this paper is to study the Plancherel formula for the spaces of L2L^2-sections of the line bundles over the pseudo-Riemannian space G/HG/H, where G=SL(n+1,R)G={\rm SL}(n+1, {\mathbb R}) and H=S(GL(1,R)×GL(n,R))H={\rm S}({\rm GL}(1, {\mathbb R})\times {\rm GL}(n, {\mathbb R})). The formula is given in an explicit form by means of sp…

2016-07-07abs ↗pdf ↗

Demanding sparsity in estimated models has become a routine practice in statistics. In many situations, we wish to require that the sparsity patterns attained honor certain problem-specific constraints. Hierarchical sparse modeling (HSM) refers to situations in which these constraints specify that one set of parameters…

2015-12-05abs ↗pdf ↗

The paper introduces a new method to detect rough volatility and market states using fractional derivatives.

problem Testing self-similarity in fractional processes from a single observed trajectory is difficult under long-range dependence.
method The paper introduces a regime-adaptive KS/GL--KS framework based on the discrete Grünwald--Letnikov (GL) fractional derivative.
result The method detects rough volatility and persistent, anti-persistent, or efficient market states in financial applications.

The paper constructs compatible Poisson brackets on gl(N).

problem Constructing compatible Poisson brackets on gl(N).
method Using constant tensors and Schouten brackets, the paper explicitly constructs quadratic Poisson brackets compatible with the standard Lie-Poisson bracket.
result Explicit construction of quadratic Poisson brackets compatible with the standard Lie-Poisson bracket on gl(N).

Classifies GL(2,R)-invariant subvarieties with zero Lyapunov exponents.

problem Classifying GL(2,R)-invariant subvarieties with specific properties.
method Classification based on homological dimensions and Lyapunov exponents.
result Explicit exceptions list for GL(2,R)-invariant subvarieties with zero Lyapunov exponents.

Using quantum skew-Howe duality, we study the category Rep(gl(mn))\operatorname{Rep}(\mathfrak{gl}(m|n)) of tensor products of exterior powers of the standard representation of Uq(gl(mn))U_q(\mathfrak{gl}(m|n)), and prove that it is equivalent to a category of ladder diagrams modulo one extra family of relations. We then construct a ca…

2015-04-28abs ↗pdf ↗

We use the technique of quantum skew Howe duality to investigate the monoidal category of exterior powers of the standard representation of Uq(gl(11))U_q(\mathfrak{gl}(1|1)). This produces a complete diagrammatic description of the category in terms of trivalent graphs, with the usual MOY relations plus one additional family o…

2014-06-20abs ↗pdf ↗