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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.

168,742 papers · 148 categories

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4998146195 · Jun 202019922001200920172026
48 results for Type-2 validity

New measures for prediction validity and consonant plausibility introduced.

problem Challenges in predicting future observations and quantifying prediction uncertainty.
method Introducing Type-2 validity and using consonant plausibility measures and conformal prediction.
result Achieving both Type-1 and Type-2 validity through consonant plausibility measures and conformal prediction.

Quaternionic curves with specific torsion properties don't exist.

problem Existence of quaternionic Bertrand curves with non-zero torsion and bitorsion.
method Definition of quaternionic (1,3)-Bertrand curves using Type 2-Quaternionic Frame and Matsuda-Yorozu method.
result No quaternionic Bertrand curves with non-zero torsion and bitorsion exist.

The paper defines a new equivalence relation for knot projections and finds an infinite number of distinct classes.

problem Classifying knot projections based on weak homotopy equivalence.
method Defining weak (1, 2, 3) homotopy and using it to find an invariant.
result There are an infinite number of weak (1, 2, 3) homotopy equivalence classes of knot projections.

We study Veech surfaces of genus 2 arising from quadratic differentials that are not squares of abelian differentials. We prove that all such surfaces of type (2,2) and (2,1,1) are arithmetic. In (1,1,1,1) case, we reduce the question to abelian differentials of type (2,2) on hyperelliptic genus 3 surfaces with singula…

2005-04-09abs ↗pdf ↗

The paper introduces a new model to correct bias in treatment effect estimates due to sample selection.

problem Bias in treatment effect estimates due to sample selection.
method Type 2 Tobit Bayesian Additive Regression Trees (TOBART-2) with Dirichlet Process Mixture distribution and soft trees.
result Corrects bias in treatment effect estimates by accounting for nonlinearities and model uncertainty.

Enhanced fuzzy system predicts chaotic time series with improved accuracy.

problem Forecasting chaotic time series with high uncertainty.
method Combines evolving fuzzy systems, participatory learning, KRLS, and type-2 fuzzy sets.
result Proposed model outperforms other methods in accuracy and complexity.

In this paper, we study the problem of finding the affine factorable surfaces in a 3-dimensional isotropic space with prescribed Gaussian (K) and mean (H) curvature. Because the absolute figure two different types of these surfaces appear by permutation of coordinates. We firstly classify the affine factorable surfaces…

2018-02-01abs ↗pdf ↗

We establish that, for every hyperbolic orbifold of type (2, q, \infty) and for every orbifold of type (2, 3, 4g+2), the geodesic flow on the unit tangent bundle is left-handed. This implies that the link formed by every collection of periodic orbits (i) bounds a Birkhoff section for the geodesic flow, and (ii) is a …

2011-12-29abs ↗pdf ↗

This paper provides a ML framework for diabetes prediction and care management.

problem Diabetes prediction and care management challenges in real-world healthcare.
method Illustrates a Machine Learning framework for T2DM prediction and risk stratification.
result ML models align with physician's disease management steps.

We prove that non-compact finite volume hyperbolic 3-manifolds that satisfy a mild cohomological condition (infinitesimal rigidity) admit a family of properly convex deformations of their complete hyperbolic structure where the ends become generalized cusps of type 1 or type 2. We also discuss methods for controlling w…

2018-05-23abs ↗pdf ↗

Paper extends Bayes Theorem for interval probability estimates.

problem Real-world input probabilities are often interval estimates, not precise.
method Developed IT2 version of Bayes Theorem and a novel algorithm for encoding intervals.
result Conservative method avoids invalid output results from inconsistent input.

HAD-Net forecasts glucose levels with insights into insulin and carbs diffusion.

problem Inaccurate predictions in glucose level forecasting without context understanding.
method Hybrid model combining deep learning and physiological models, using recurrent attention network.
result Achieves competitive performance in glucose level forecasting with plausible diffusion insights.

New examples of hyperbolic links with generalized torsion elements found.

problem Finding generalized torsion elements in the fundamental groups of hyperbolic links.
method Analyzing the Weeks manifold, figure-eight sister manifold, and Whitehead sister link to identify generalized torsion elements.
result First examples of hyperbolic links with link groups admitting generalized torsion elements.

A new algorithm discovers causal factors between T2DM and bone mineral density.

problem Discovering causal factors between T2DM and bone mineral density from clinical data.
method Prior-Knowledge-driven local Causal structure Learning (PKCL) algorithm.
result PKCL achieves more reliable results without long-standing medical experiments.

PseudoH-type is a natural generalization of H-type to geometries with indefinite metric tensors. We give a complete determination of the conjugate locus including multiplicities. We also obtain a partial characterization in terms of the abundance of totally geodesic, 3-dimensional submanifolds.

2003-07-28abs ↗pdf ↗

A new GP framework for discovering unknown functions and hypergraph structure.

problem Discovering unknown functions and hypergraph structure in data.
method Interpretable Gaussian Process framework for Type 3 problems.
result Polynomial complexity for data-driven discovery of unknown functions and hypergraph structure.

New method targets relative risk heterogeneity in clinical trials.

problem Identifying treatment effects across subgroups with absolute risk differences.
method Modified causal forests using a novel node-splitting procedure based on relative risk.
result Relative risk causal forests can capture heterogeneity not detected by absolute risk methods.

Given an almost complex manifold (M, J), we study complex connections with trivial holonomy and such that the corresponding torsion is either of type (2,0) or of type (1,1) with respect to J. Such connections arise naturally when considering Lie groups, and quotients by discrete subgroups, equipped with bi-invariant an…

2011-02-08abs ↗pdf ↗

The paper examines how calibration affects the interpretability of ML models in diabetes screening.

problem Interpreting complex ML models in healthcare, especially in diabetes screening.
method Examined the impact of model calibration on interpretability using three visualization techniques.
result Calibrated models provide clearer cause-effect relationships in ML predictions.

We present a combinatorial method for a calculation of knot Floer homology with Z-coefficient of (1,1)-knots, and then demonstrate it for non-alternating (1,1)-knots with ten crossings and the pretzel knots of type (-2,m,n). Our calculations determine the unknotting numbers and 4-genera of the pretzel knots of this typ…

2003-11-06abs ↗pdf ↗

Almost para-quaternionic structures on smooth manifolds of dimension 2n2n are equivalent to almost Grassmannian structures of type (2,n)(2,n). We remind the equivalence and exhibit some interrelations between subjects that were previously studied independently from the para-quaternionic and the Grassmannian point of view.…

2013-01-22abs ↗pdf ↗

New method improves PCA robustness using Wasserstein distances.

problem Uncertainty in probability distribution affects PCA robustness.
method Distributionally robust optimization with Wasserstein distances.
result Explicit reformulation leads to efficient smoothing algorithm.

Develops methods for near-optimal personalized treatment recommendations.

problem Assigning optimal treatments to patients based on individual characteristics.
method Outcome weighted learning framework to estimate near-optimal alternative individualized treatment recommendations (A-ITR).
result Consistency of proposed methods and upper bound for risk between optimal and estimated recommendations.

Minimizes indecisions in selective classification to control misclassification rates.

problem Controlling misclassification rates in high-risk scenarios.
method Using indecisions to control misclassification rates, even below Bayes optimal.
result Control of misclassification rates to any user-specified level, even below Bayes optimal.

Develops a SAS approach for high-dimensional risk prediction using unlabeled data.

problem Challenges in risk modeling with EHR data due to lack of direct disease outcomes and high dimensionality.
method Surrogate Assisted Semi-supervised Learning (SAS) approach leveraging unlabeled and labeled data.
result Valid inference for predicted risk even when underlying model is dense and mis-specified.

We give a complete description of exceptional surgeries on pretzel knots of type (2,p,p)(-2, p, p) with p5p \ge 5. It is known that such a knot admits a unique toroidal surgery yielding a toroidal manifold with a unique incompressible torus. By cutting along the torus, we obtain two connected components, one of which is a t…

2011-02-06abs ↗pdf ↗

Study bihamiltonian structures and Frobenius manifolds for specific Toda hierarchies.

problem Local bihamiltonian structures and Frobenius manifolds for asymmetric rational reductions of 2D-Toda hierarchy.
method Construct three-dimensional generalized Frobenius manifold, relate to other hierarchies via transformations.
result Explicit relation between RR2T and bi-graded Toda and constrained KP hierarchies.

We determine the Fukaya Floer homology of the three-manifold which is the product of a Riemann surface of genus g1g\geq 1 times the circle. This sets up the groundwork for finding the structure of the Donaldson invariants of four-manifolds not of simple type in the future. We give the following applications: 1) We show…

1998-04-17abs ↗pdf ↗

Let MM be a compact manifold. and DD a Dirac type differential operator on MM. Let AA be a CC^*-algebra. Given a bundle WW of AA-modules over MM (with connection), the operator DD can be twisted with this bundle. One can then use a trace on AA to define numerical indices of this twisted operator. We prove an …

2003-06-10abs ↗pdf ↗

The paper studies cylindrical handlebody-knots of genus two with unique unknotting annuli and finds trivial symmetry groups.

problem Understanding the topology and symmetry of cylindrical handlebody-knots of genus two.
method Analysis of Thurston's hyperbolization theorem and investigation of unknotting annuli.
result The symmetry group is trivial if the unknotting annulus is unique and of type 22.

Study on 2-ruled hypersurfaces in a Walker 4-manifold.

problem Characterize and analyze 2-ruled hypersurfaces in a Walker 4-manifold.
method Define and analyze three types of 2-ruled hypersurfaces, compute Gaussian and mean curvatures, and study Laplace-Beltrami operators.
result Characterizations and properties of 2-ruled hypersurfaces in a Walker 4-manifold.

Study ΘΘ-invariants for spherical 3-manifolds via Zπ\mathbb{Z}π-homology equivalences.

problem Computing ΘΘ-invariants for spherical 3-manifolds via Zπ\mathbb{Z}π-homology equivalences.
method Using Bott and Cattaneo's ΘΘ-invariants, defined by integrals over configuration spaces with local systems, and representation theory of finite groups.
result Computed upper bounds for dimensions of spaces spanned by ΘΘ-invariants and finite type invariants.